Mental effort and attention to rhythm, music, and physical activity

• Christodoulou, Anna-Maria; Arnim, Hugh Alexander von & Jensenius, Alexander Refsum (2025). Supporting Narrative Comprehension in Programmatic Music through Music and Light. In McArthur, Angela; Matthews, Emma-Kate & Holberton, Tom (Ed.), Proceedings of the 17th International Symposium on Computer Music Multidisciplinary Research. The Laboratory PRISM ¡°Perception, Representations, Image, Sound, Music¡±. ISSN 9791097498061. p. 447¨C454. doi: 10.5281/zenodo.17509282.
• Bernhardt, Emil (2025). Alltid et annet sted ¨C estetisk forflytning og fantasiens plikt. In Holm, Henrik & Alexeeva, Anastasiya (Ed.), Estetiske fag i samfunnet. Cappelen Damm Akademisk. ISSN 9788202868673. p. 13¨C32. doi: https:/cdforskning.no/cdf/catalog/book/261. Show summary

  This essay starts with the following observation: The aesthetic effect always happens somewhere else than we initially believe. I would argue that there is a displacement here, from an assertion that is manageable to an effect that remains uncontrollable. Furthermore I would argue that this displacement is aesthetically qualifying. What happens never merges with the motivation for what was done; what was done had a different aim than what happens. This perspective emphasises what we might call the event aspect of aesthetics, and our conception of what we can actually do is adjusted accordingly. I approach the idea of such a displacement in three ways: First, I briefly mention three examples from our contemporary cultural sphere. These are what has been called historically informed performance practice in classical music, then what has been called reality literature, and finally the painter Odd Nerdrum¡¯s relationship to classical painting. Secondly, I examine the relationship between the idea of aesthetic displacement and modern aesthetics¡¯ concept of aesthetic autonomy. Might the idea of aesthetic displacement be thought of as an example of such autonomy? Thirdly, I pursue the event and action perspective and ask whether a practical counterpart to aesthetic displacement is possible. Is there anything we can do that somehow corresponds to the fact that something happens? Here I try to develop a concept of a duty of imagination.

• Lenoir, C¨¦dric; Lenc, Tomas; Polak, Rainer & Nozaradan, Sylvie (2025). Behavior-Relevant Periodized Neural Representation of Acoustic But Not Tactile Rhythm in Humans. Journal of Neuroscience. ISSN 0270-6474. 45(46). doi: 10.1523/jneurosci.0664-25.2025. Show summary

  Music makes people move. This human propensity to coordinate movement with musical rhythm requires multiscale temporal integration, allowing fast sensory events composing rhythmic input to be mapped onto slower, behavior-relevant, internal templates such as periodic beats. Relatedly, beat perception has been shown to involve an enhanced representation of the beat periodicities in neural activity. However, the extent to which this ability to move to the beat and the related ¡°periodized¡± neural representation are shared across the senses beyond audition remains unknown. Here, we addressed this question by recording separately the electroencephalographic (EEG) responses and finger tapping to a rhythm conveyed either through acoustic or tactile inputs in healthy volunteers of either sex. The EEG responses to the acoustic rhythm, spanning a low-frequency range (below 15?Hz), showed enhanced representation of the perceived periodic beat, compatible with behavior. In contrast, the EEG responses to the tactile rhythm, spanning a broader frequency range (up to 25?Hz), did not show significant beat-related periodization and yielded less stable tapping. Together, these findings suggest a preferential role of low-frequency neural activity in supporting neural representation of the beat. Most importantly, we show that this neural representation, as well as the ability to move to the beat, is not systematically shared across the senses. More generally, these results, highlighting multimodal differences in beat processing, reveal a process of multiscale temporal integration that allows the auditory system to go beyond mere tracking of onset timing and to support higher-level internal representation and motor entrainment to rhythm.

• Moghaddam, Emil Engelstad; Uddin, Md. Zia; Miura, Jun & Torresen, Jim (2025). A Robust Approach for Motion Skill-Based Scene Categorization. In Neri, Filippo (Eds.), Proceedings of the 2025 10th International Conference on Machine Learning Technologies (ICMLT). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798331536725. doi: 10.1109/icmlt65785.2025.11193163. Show summary

  This paper introduces a novel method for autonomous navigation of mobile robots, combining functional scene categorization with tailored navigation strategies. Scene categorization is a computer vision task that identifies environmental types in images. Our approach establishes a taxonomy for scene categorization with the aim of utilization in mobile robots. We used a motion-skill dataset for training different neural networks. The dataset, comprising 19923 images with nine navigation strategy labels, demonstrated the feasibility of coupling environment recognition with neural networks. Three architectures (ResNet-50, BEiT-Base, ConvNeXt-Tiny) achieved notable performance, with ConvNeXt-Tiny leading with a weighted F1 score of 0.934. Pre-training on the SUN397 dataset significantly improved the model performance, emphasizing the importance of leveraging existing scene categorization datasets. This study highlights the synergy between scene categorization and functional scene categorization, providing insights for designing efficient, context-aware autonomous navigation systems.

• Riaz, Maham; Guo, Jinyue; Erdem, Cagri & Jensenius, Alexander Refsum (2025). Where to Put That Microphone? A Study of Sound Localization in Ambisonics Recordings. In McArthur, Angela; Matthews, Emma-Kate & Holberton, Tom (Ed.), Proceedings of the 17th International Symposium on Computer Music Multidisciplinary Research. The Laboratory PRISM ¡°Perception, Representations, Image, Sound, Music¡±. ISSN 9791097498061. p. 455¨C466. doi: 10.5281/ZENODO.17497086. Show summary

  This paper examines the effects of microphone placement on sound localization in first-order Ambisonics recordings. Two microphone setups were used to capture a moving audio source in a lab environment. Array A, a tetrahedral microphone, was placed in the centre of the recording space. Array B consisted of four similar tetrahedral microphones charting a rectangular perimeter surrounding the space. Motion capture data of the moving sound source shows that anglegrams calculated from the Ambisonics recordings can be effectively used for sound localization. An additional perceptual listening study with binaural renders of the audio signals showed that the centrally-placed Array A provided superior localization. However, the corner-placed Array B performed better than expected.

• Guo, Jinyue; T?rresen, Jim & Jensenius, Alexander Refsum (2025). Cross-modal Analysis of Spatial-Temporal Auditory Stimuli and Human Micromotion when Standing Still in Indoor Environments. In McArthur, Angela; Matthews, Emma-Kate & Holberton, Tom (Ed.), Proceedings of the 17th International Symposium on Computer Music Multidisciplinary Research. The Laboratory PRISM ¡°Perception, Representations, Image, Sound, Music¡±. ISSN 9791097498061. p. 871¨C882. doi: 10.5281/ZENODO.17502603. Show summary

  This paper examines how a soundscape influences human stillness. We are particularly interested in how spatial and temporal features of a soundscape influence human micromotion and swaying patterns. The analysis is based on 345 Ambisonics audio recordings of different indoor environments and corresponding accelerometer data captured at the chest of a person standing still for ten minutes. We calculated the temporal and spatial correlation between the person's quantity of motion and the sound energy of the Ambisonic recordings. While no clear temporal correlations were found, we discovered a correlation between the spatial directionality of the micromotion and the sound direction of arrival. The results suggest a potential entrainment between the directionality of environmental sounds and human swaying patterns, which have not been thoroughly studied previously compared to the temporal or spectral features of indoor soundscapes.

• Rolfsjord, Sigmund Johannes Ljosvoll; Fatima, Safia; Arnim, Hugh Alexander von & Baselizadeh, Adel (2025). Multimodal Transfer Learning for Privacy in Human Activity Recognition. In Emilia, Barakova,; Ben, Allouch, Somaya; Kazuhiro, Nakadai, & Goldie, Nejat, (Ed.), Proceedings of the IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 2025. IEEE (Institute of Electrical and Electronics Engineers). p. 15¨C20. doi: 10.1109/ro-man63969.2025.11217600. Show summary

  IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) This conference is a leading forum where state-of-the-art innovative results, the latest developments as well as future perspectives relating to robot and human interactive communication are presented and discussed. The conference covers a wide range of topics related to Robot and Human Interactive Communication, involving theories, methodologies, technologies, empirical and experimental studies. Papers related to the study of robotic technology, psychology, cognitive science, artificial intelligence, human factors, ethics and policies, interaction-based robot design and other topics related to human-robot interaction are welcome.

• Laczko, Balint; Rognes, Marie Elisabeth & Jensenius, Alexander Refsum (2025). Image Sonification as Unsupervised Domain Transfer. In McArthur, Angela; Matthews, Emma-Kate & Holberton, Tom (Ed.), Proceedings of the 17th International Symposium on Computer Music Multidisciplinary Research. The Laboratory PRISM ¡°Perception, Representations, Image, Sound, Music¡±. ISSN 9791097498061. p. 596¨C607. doi: 10.5281/zenodo.17497987. Show summary

  The process of image sonification maps visual features into perceived auditory features. Most established sonification methods rely on identifying salient visual features in the input data and then mapping their distribution to a proportional distribution of auditory features. However, this approach requires both domain expertise and manual feature engineering. Here, we propose a new method of image sonification, leveraging recent advances in representation learning and domain transfer. Our approach introduces a pair of variational auto-encoder models that learn disentangled latent representations of the images and sounds, respectively, and a separate network that maps between these representations. The resulting sonification system encodes images into the latent space and then decodes them as sounds. Both representations and their mapping are learned in an entirely unsupervised manner. When evaluating the system in an interactive real-time setting, we observed that the model successfully learned disentangled representations of image and sound factors in our synthetic datasets.

• Meijer, Frida; Lindblom, Diana Saplacan; Baselizadeh, Adel & T?rresen, Jim (2025). "The wooden gripper was warmer and made the robot less threatening"¨C A Study on Perceived Safety based on Robot Gripper¡¯s Visual and Tactile Properties. In Emilia, Barakova,; Ben, Allouch, Somaya; Kazuhiro, Nakadai, & Goldie, Nejat, (Ed.), Proceedings of the IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 2025. IEEE (Institute of Electrical and Electronics Engineers). p. 1091¨C1098. doi: https:/ieeexplore.ieee.org/document/11217775. Show summary

  An ageing population and the need of providing adequate care have led to developing robots to relieve healthcare workers and to assist individuals in their own homes. However, the successful integration of robots in such settings relies on more than just ensuring physical safety associated with physical risks (e.g., collisions): it also requires the user¡¯s perceived safety ¨C the users perceiving the robot as not doing any harm. This paper explores the potential influence of a robot grippers¡¯ visual and tactile properties, such as materials and texture, on the users¡¯ perceived safety and comfort of human-robot interaction. An initial survey was distributed to 53 participants, exploring five (n=5) robot gripper designs focusing on the robots¡¯ gripper shape. One design shape was thereafter selected to be constructed as a cover to be placed over the parallel grippers of the TIAGo robot, by using 1) wood filament and 2) plastic. The covers were then tested in an experimental setting with 11 participants. The covers were attached to the TIAGo mobile manipulator robot and participants interacted with both of the designed gripper covers within a controlled laboratory environment. A questionnaire was distributed to all 11 experiment participants, at different stages of the interactions. The findings indicate that the material of the gripper influenced participants¡¯ sense of comfort, familiarity, and perceived capabilities of the robot. The study suggests that perceived safety in human-robot interaction (HRI) is shaped not only by physical factors but also by how materials are personally and contextually interpreted. To better support safe and comfortable interactions, further research is needed to understand how material choices shape users¡¯ perceived safety.

• Christodoulou, Anna-Maria & Lartillot, Olivier (2025). A Multimodal Dataset of Greek Folk Music. In Luca, Elsa De (Eds.), DLfM '25: Proceedings of the 12th International Conference on Digital Libraries for Musicology. Association for Computing Machinery (ACM). ISSN 9798400720833. p. 19¨C27. doi: https:/dl.acm.org/doi/10.1145/3748336.3748339. Show summary

  This paper presents a multimodal dataset of Greek folk dance music, focusing on syrtos and balos. Developed to support research in computational musicology, the dataset improves access to Greek musical heritage through manually transcribed MIDI scores, aligned lyrics, and rich metadata, all curated by expert musicologists. Through pattern analysis and feature extraction, we examine both shared melodic structures and unique characteristics of each dance, with some examples reflecting traces of oral transmission. While metadata accompanies the collection to support organization and context, our primary emphasis is on the musical and lyrical content. This work contributes to digital ethnomusicology by showing how multimodal datasets of folk music can inform both analytical research and cultural heritage preservation.

• Otterdijk, Marieke van; Neggers, Margot; Torresen, Jim & Barakova, Emilia (2025). Exploring Human Attribution of?Emotional Intent to?Motion Features in?a?Humanoid Robot. In Palinko, Oskar; Bodenhagen, Leon; Cabibihan, John-John; Fischer, Kerstin; ?abanovi?, Selma; Winkle, Katie; Behera, Laxmidhar; Ge, Shuzhi Sam; Chrysostomou, Dimitrios; Jiang, Wanyue & He, Hongsheng (Ed.), Social Robotics. Springer. ISSN 9789819635184. p. 323¨C323. doi: 10.1007/978-981-96-3519-1_29.
• Laczko, Balint & Jensenius, Alexander Refsum (2025). Pixasonics: An Image Sonification Toolbox for Python. In Ziemer, Tim (Eds.), Proceedings of the 30th International Conference on Auditory Display (ICAD 2025). The International Community for Auditory Display. Show summary

  Pixasonics is a new Python library for interactive image analysis and exploration through image sonification. It uses real-time audio and visualization to help uncover patterns in image data. With Pixasonics, users can launch one or more small web applications (running in a Jupyter Notebook), probe image data using various feature extraction methods, and map those feature vectors to synthesis parameters. The target users are researchers interested in exploring image and volumetric data and creative users who want an intuitive tool for experimental sound design. Pixasonics¡¯ design aims to strike a balance between an easy-to-use web application with minimal boilerplate code necessary and a library that can be integrated into more advanced workflows. Real-time exploration is at the heart, but it can also be used to script non-real-time sonifications of large datasets. This paper presents Pixasonics, its structure, interface, and advanced features, and discusses preliminary feedback from biology researchers and music technologists.

• Maeda, Ryuichi; Baselizadeh, Adel; Watanabe, Shin; Kurazume, Ryo & T?rresen, Jim (2025). Adaptive Tidying Robots: Learning from Interaction and Observation. In Asfour, Tamim; Ram¨ªrez-Amaro, Karinne; Kim, Joohyung & Cheng, Gordon (Ed.), 2025 IEEE/SICE International Symposium on System Integration (SII). IEEE (Institute of Electrical and Electronics Engineers). p. 185¨C192. doi: 10.1109/sii59315.2025.10871003.
• Bruin, Ege de; Glette, Kyrre & Ellefsen, Kai Olav (2025). Generational Replacement and Learning for High-Performing and Diverse Populations in Evolvable Robots. In Obafemi-Ajayi, Tayo (Eds.), 2025 IEEE Symposium on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems. IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798331508388. doi: 10.1109/alife-cis64968.2025.10979828. Show summary

  Evolutionary Robotics offers the possibility to design robots to solve a specific task automatically by optimizing their morphology and control together. However, this co-optimization of body and control is challenging, because controllers need some time to adapt to the evolving morphology - which may make it difficult for new and promising designs to enter the evolving population. A solution to this is to add intra-life learning, defined as an additional controller optimization loop, to each individual in the evolving population. A related problem is the lack of diversity often seen in evolving populations as evolution narrows the search down to a few promising designs too quickly. This problem can be mitigated by implementing full generational replacement, where offspring robots replace the whole population. This solution for increasing diversity usually comes at the cost of lower performance compared to using elitism. In this work, we show that combining such generational replacement with intra-life learning can increase diversity while retaining performance. We also highlight the importance of performance metrics when studying learning in morphologically evolving robots, showing that evaluating according to function evaluations versus according to generations of evolution can give different conclusions.

• Milojevic, Andrija & Glette, Kyrre (2025). Design and fabrication of soft locomotion robots based on spatial compliant mechanisms. Smart materials and structures (Print). ISSN 0964-1726. 34(7). doi: 10.1088/1361-665x/addf98. Show summary

  Soft robotics has emerged as a promising technology that holds great potential for various application areas. This is due to soft materials unique properties, including flexibility, safety, and shock absorption, among others. Despite many advancement in the field, the development of effective design methodologies and production techniques for soft robots remains a challenge. Although numerous robot prototypes have been proposed in recent years, their designs are often complex and difficult to produce. As such, there is a need for more efficient and unified design approaches that can facilitate the production of soft robots with desirable properties. In this paper, we propose a method for designing soft robots using elastic beams and spatial compliant mechanisms. The method is based on an evolutionary approach that enables the creation of designs with both high motion and force transmission ratios. Specifically, we focus on the development of locomotion mechanisms using a central linear actuator. Our approach involves the use of commonly available plastic materials and a 3D printer to manufacture the designs. We demonstrate the feasibility of our approach by presenting experimental results that show successful production and real-world operation. Overall, our findings suggest that the use of elastic beams and an evolutionary approach can facilitate the creation of soft robots with desirable locomotion properties, including fast locomotion up to 3.7 body lengths per second, locomotion with a payload, and underwater locomotion. This method has the potential to enable the development of more efficient and practical soft robots for various applications.

• Christodoulou, Anna-Maria; Glette, Kyrre; Lartillot, Olivier & Jensenius, Alexander Refsum (2025). MusiQAl: A Dataset for Music Question¨CAnswering through Audio¨CVideo Fusion. Transactions of the International Society for Music Information Retrieval. 8(1), p. 265¨C282. doi: 10.5334/tismir.222. Show summary

  Music question¨Canswering (MQA) is a machine learning task where a computational system analyzes and answers questions about music?related data. Traditional methods prioritize audio, overlooking visual and embodied aspects crucial to music performance understanding. We introduce MusiQAl, a multimodal dataset of 310 music performance videos and 11,793 human?annotated question¨Canswer pairs, spanning diverse musical traditions and styles. Grounded in musicology and music psychology, MusiQAl emphasizes multimodal reasoning, causal inference, and cross?cultural understanding of performer¨Cmusic interaction. We benchmark AVST and LAVISH architectures on MusiQAI, revealing strengths and limitations, underscoring the importance of integrating multimodal learning and domain expertise to advance MQA and music information retrieval.

• Wallace, Benedikte; Glette, Kyrre & Szorkovszky, Alexander (2025). How can we make robot dance expressive and responsive? A survey of methods and future directions. Frontiers in Computer Science. 7. doi: 10.3389/fcomp.2025.1575667. Show summary

  The development of robots that can dance like humans presents a complex challenge due to the disparate abilities involved and various aesthetic qualities that need to be achieved. This article reviews recent advances in robotics, artificial intelligence, and human-robot interaction toward enabling various aspects of realistic dance, and examines potential paths toward a fully embodied dancing agent. We begin by outlining the essential abilities required for a robot to perform human-like dance movements and the resulting aesthetic qualities, summarized under the terms expressiveness and responsiveness . Subsequently, we present a review of the current state-of-the-art in dance-related robot technology, highlighting notable achievements, limitations and trade-offs in existing systems. Our analysis covers various approaches, including traditional control systems, machine learning algorithms, and hybrid systems that aim to imbue robots with the capacity for responsive, expressive movement. Finally, we identify and discuss the critical gaps in current research and technology that need to be addressed for the full realization of realistic dancing robots. These include challenges in real-time motion planning, adaptive learning from human dancers, and morphology independence. By mapping out current methods and challenges, we aim to provide insights that may guide future innovations in creating more engaging, responsive, and expressive robotic systems.

• Norstein, Emma Stensby; Yasui, Kotaro; Kano, Takeshi; Ishiguro, Akio & Glette, Kyrre (2025). Behaviour Diversity in a Walking and Climbing Centipede-Like Virtual Creature. Artificial Life. ISSN 1064-5462. 31(3), p. 321¨C344. doi: 10.1162/artl_a_00476. Show summary

  Robot controllers are often optimized for a single robot in a single environment. This approach proves brittle, as such a controller will often fail to produce sensible behavior for a new morphology or environment. In comparison, animal gaits are robust and versatile. By observing animals, and attempting to extract general principles of locomotion from their movement, we aim to design a single, decentralized controller applicable to diverse morphologies and environments. The controller implements the three components of (a) undulation, (b) peristalsis, and (c) leg motion, which we believe are the essential elements in most animal gaits. This work is a first step toward a general controller. Accordingly, the controller has been evaluated on a limited range of simulated centipede-like robot morphologies. The centipede is chosen as inspiration because it moves using both body contractions and legged locomotion. For a controller to work in qualitatively different settings, it must also be able to exhibit qualitatively different behaviors. We find that six different modes of locomotion emerge from our controller in response to environmental and morphological changes. We also find that different parts of the centipede model can exhibit different modes of locomotion, simultaneously, based on local morphological features. This controller can potentially aid in the design or evolution of robots, by quickly testing the potential of a morphology, or be used to get insights about underlying locomotion principles in the centipede.

• Otterdijk, Marieke van; Laeng, Bruno; Saplacan-Lindblom, Diana; Baselizadeh, Adel & T?rresen, Jim (2025). Seeing Meaning: How Congruent Robot Speech and Gestures Impact Human Intuitive Understanding of Robot Intentions. International Journal of Social Robotics. ISSN 1875-4791. doi: 10.1007/s12369-025-01271-0. Show summary

  Abstract Social communication between humans and robots has become critical as a result of the integration of robots into our daily lives as assistants. There is a need to explore how users intuitively understand the behavior of a robot and the impact of social context on that understanding. This study measures mental effort (as indexed by pupil response) and processing time, measured as the time taken to provide the correct answer, to investigate participants¡¯ intuitive understanding of the robot¡¯s gestures. Thirty-two participants participated in a charades game with a TIAGo robot, during which their eyes were tracked. Our findings show a relationship between mental effort and processing time, and indicate that robot gestures, congruence of speech and behavior, and the correctness of interpreting robot behavior influence intuitive understanding. Furthermore, we found that people focused on the robot¡¯s limb movement. Using these findings, we can highlight what features contribute to the intuitive interaction with a robot, thus improving its efficiency.

• Weng, Yueh-Hsuan; Torabi, David; Torresen, Jim; Dong, Zonghao & Hirata, Yasuhisa (2025). Bridging Ethics and Reality: Integrating Thought Experiments and Empirical Insights in Robot Ethics. IEEE robotics & automation magazine. ISSN 1070-9932. p. 8¨C8. doi: 10.1109/mra.2025.3584352.
• D¡¯Amario, Sara & Jensenius, Alexander Refsum (2025). Cardiac Coherence among Musicians and Audiences During Orchestra Performances. Music & Science. 8. doi: 10.1177/20592043251370977. Show summary

  Recent empirical investigations suggest that music performance and perception can evoke a collective cardiac response in performers and audience members, and interpersonal cardiac coupling can be related to musical features. However, the relationship between musicians¡¯ and audiences¡¯ cardiac responses is poorly understood. This study investigates the interpersonal cardiac coherence of selected audience members and performers from the Stavanger Symphony Orchestra and the Norwegian Radio Orchestra during multiple performances of Harald S?verud¡¯s Kjempevisesl?tten. The cardiac coherence index (CCI) was computed by applying the intrinsic synchrosqueezing transform to the cardiac interbeat interval of each signal, combining noise-assisted multivariate empirical mode decomposition and short-time Fourier transforms. The results show that the CCI values among the audience members were stronger than those of the musicians. Sound pressure level measurements predicted the musicians¡¯ CCI values, whilst musical form structure predicted the audiences¡¯ CCI values. These results advance our understanding of how cardiac rhythms support interpersonal interactions and contribute to research on live orchestra performances.

• Polak, Rainer (2025). From Mali to Ghana: Pulsation Non-Isochrony in West African Percussion Music Genres. Analytical Approaches to African Music. 1(1). doi: https:/africa.iftawm.org/aaam-vol-1-iss-1/https:/africa.iftawm.org/aaam-vol-1-iss-1/. Show summary

  Most theories of African music emphasize the diversity of musical styles in Africa. Still, many also hold on to the notion of Africa being a uniform area with a high degree of stylistic coherence. This paper questions that latter notion by comparing different genres of West African percussion ensemble music from Mali and Ghana concerning the temporal structure of the fast pulse (metric beat division). On this basis, the paper asks whether it is empirically plausible to represent African music by identifying a singular ideal type of African rhythm. The main result is that uneven beat subdivision timing patterns (pulsation non-isochrony) and the superimposition (nesting) of binary and ternary subdivision layers play a substantial role in genres from Mali (Mande) and northern Ghana (Dagbamba) but not in southern and central Ghana (Ewe, Asante). This finding contradicts the widespread assumption that, in African rhythmic systems, the fast pulse in general is structurally isochronous and either binary or ternary. The paper concludes that African rhythmic systems exhibit a greater diversity than theories of African rhythm have indicated and that Africanist music research should emphasize this diversity more consistently than it has done so far.

• Barbero, Francesca M.; Lenc, Tomas; Jacoby, Nori; Polak, Rainer; Varlet, Manuel & Nozaradan, Sylvie (2025). Revealing rhythm categorization in human brain activity. Science Advances. 11(31). doi: 10.1126/sciadv.adu9838. Show summary

  Humans across cultures show an outstanding capacity to perceive, learn, and produce musical rhythms. These skills rely on mapping the infinite space of possible rhythmic sensory inputs onto a finite set of internal rhythm categories. What is the nature of the brain processes underlying rhythm categorization? We used electroencephalography to measure brain activity as human participants listened to a continuum of rhythmic sequences characterized by repeating patterns of two interonset intervals. Using frequency and representational similarity analyses, we show that brain activity does not merely track the temporal structure of rhythmic inputs but, instead, produces categorical representation of rhythms. These neural rhythm categories arise automatically, independent of any motor- or timing-related tasks, yet exhibit strong similarity with categorization observed in overt behavior. Together, these results and methodological advances constitute a critical step toward understanding the biological roots and diversity of musical behaviors across cultures.

• Marin-Bucio, Diego (2025). Danza en colaboraci¨®n cinem¨¢tica con un bailar¨ªn de IA: Dancing Embryo. HArtes. 6(12), p. 211¨C239. doi: 10.61820/ha.2954-470X.1831. Show summary

  This article delves into the intersection of dance, human experience, and artificial intelligence (AI), focusing on how AI can engage in dance-like movements through kinematic co-creation with human performers. The study challenges traditional notions of dance, often centered on human physicality and expressiveness, by demonstrating how AI-generated movements can evoke meaningful dance experiences. The project, Dancing Embryo, is a collaboration between a dancer-choreographer and a computational scientist to develop an interactive AI capable of generating and transforming dance movements. Designed using movement data from contemporary dancers, the AI participates in real-time performances, coupling its movement features with those of a human dancer. This work broadens the definition of dance to include non-human agents and emphasizes the possibilities of co-creation between humans and machines. The article explores the technological, ontological, and artistic implications of dancing with AI, proposing that the dance experience can be perceived and completed through human interpretation, even when performed by a machine.

• Laeng, Bruno; Berke, Canoluk, H¨¹seyin & Nabil, Shoaib (2025). Pupil adjustments to illusory perceptions of the light intensity of object surfaces. Frontiers in Human Neuroscience. 19. doi: 10.3389/fnhum.2025.1604114. Show summary

  Using infrared eye tracking, we show that when gaze is maintained at the center of one of two equiluminant surfaces of a Cornsweet stimulus, designed by Lotto and Purves, that illusorily appear to be lighter or darker than the other, the eye pupils constrict or dilate, respectively. That is, pupil sizes mirror the subjective experience of differential brightness. Previous studies of pupil responses to illusions of light had focused on illusions of unveridical light sources (e.g., patterns resembling the sun), whereas in the present study, we show pupil adjustments to the illusory brightness of object surfaces within images of realistic scenes. In two control experiments, we also showed that when the edge gradients of the Cornsweet stimulus, which do differ in luminance, were either occluded or presented alone in a black field, there were no differences in pupil diameters. We also conclude that adjustments to the perception of surface reflectance are unlikely to represent anticipatory responses to probable risks of temporary visual impairment (i.e., dazzle to sunlight) and, instead, indicate that a gradual process of disambiguation of the visual scene is sufficient to elicit adjustments to the apparent light intensity of an object¡¯s surface.

• Asko, Olgerta; Volehaugen, Vegard Akselsson; Llorens, Ana?s; Funderud, Ingrid; Leske, Sabine Liliana & Ivanovic, Jugoslav [Show all 13 contributors for this article] (2025). Predictive encoding of auditory sequences in the human prefrontal cortex. bioRxiv - the preprint server for biology. doi: 10.1101/2025.08.22.671264. Show summary

  Abstract Humans extract regularities from the environment to form expectations that guide perception and optimize behavior. Although the prefrontal cortex (PFC) is central to this process, the relative contributions of orbitofrontal (OFC) and lateral PFC (LPFC) remain unclear. Here, we show that the brain tracks sound regularities in an auditory deviance detection task to predict when a target deviant will occur. Intracranial EEG in epilepsy patients reveals prefrontal engagement, with earlier expectancy-related modulation in OFC and later modulation in LPFC. Connectivity analyses indicate bidirectional and asymmetrical expectancy-related information exchange between the two areas, with a first lead by OFC, consistent with its role in initiating predictive encoding. Converging causal evidence shows that OFC lesions abolish sensitivity to expectancy, whereas LPFC lesions yield only modest effects not significantly different from controls. Together, these results provide electrophysiological and causal evidence for distinct, temporally organized contributions of prefrontal subregions to predictive processing. Significance Statement The human brain builds probabilistic associations capturing the dynamic environmental structure in a predictive manner. The ability to encode and deploy predictive information to anticipate future events relies on the prefrontal cortex (PFC). However, the specific roles of PFC subregions in this process remain unclear. Here, we provide converging electrophysiological and causal lesion evidence on the distinct involvement of the orbital and lateral PFC in generating anticipatory neural signals based on probabilistic auditory structure.

• Appen, Ralf von; Clercq, Trevor de; Danielsen, Anne; Doktor, Stephanie DeLane & Moore, Allan (2025). Studying the Fish and/or the Water?. A Discussion About the Past, Present, and Future of Popular Music Theory in Europe and the U.S. Zeitschrift der Gesellschaft f¨¹r Musiktheorie (ZGMTH). ISSN 1862-6750. 22(1), p. 29¨C29. doi: 10.31751/1220.
• Orten, Kristine Fjellk?rstad; Helgesen, Sander Elias Magnussen; Chen, Bihui; Baselizadeh, Adel; T?rresen, Jim & Herrebr?den, Henrik (2025). Can machine learning distinguish between elite and non-elite rowers? International Journal of Computer Science in Sport. 24(1), p. 118¨C132. doi: 10.2478/ijcss-2025-0007.
• Miles, Oliver; Hazzard, Adrian; Moroz, Solomiya; Bishop, Laura & Vear, Craig (2025). Meaningful interactions in human-AI musicking. In Sei?a, Mariana & Wirfs-Brock, Jordan (Ed.), AM '25: Proceedings of the 20th International Audio Mostly Conference. Association for Computing Machinery (ACM). ISSN 9798400708183.
• Bishop, Laura; Hadjidaki-Marder, Elpida; Ledas, Sarunas & Liest?l, Gunnar (2025). Motion capture for augmented reality storytelling in archaeology and cultural heritage dissemination: Simulating an animal sacrifice at Ancient Phalasarna. In Jung, Timothy; Dieck, M. Claudia tom; Jeong, Seok Chan; Kim, Sung-Hee; Sahl, Daniel & Kim, S. J. (Ed.), XR and Metaverse: Proceedings of the 9th International XR-Metaverse Conference 2024, Busan, South Korea. Springer. ISSN 9783031779749. doi: 10.1007/978-3-031-77975-6.
• Lartillot, Olivier; Swarbrick, Dana; Upham, Finn & Cancino-Chac¨®n, Carlos Eduardo (2025). Video Visualization of a String Quartet Performance of a Bach Fugue: Design and Subjective Evaluation. Music & Science. 8. doi: 10.1177/20592043251352299. Full text in Research Archive Show summary

  Visualizing music¡ªthrough music notation, analytical representations, or music videos¡ªmight potentially boost the appreciation of music in all its richness. The purpose of this study was to design and test a visualization strategy aimed at explicating to a large audience with diverse backgrounds¡ªespecially novices¡ªthe multifaceted beauty of the final Contrapunctus in J.S. Bach's The Art of Fugue, performed by the Danish String Quartet. At the surface level of the musical structure, the rich fluctuation of pitch shaped by each musician was depicted in the form of undulating pitch curves. At a deeper structural level, the repetition of pitch curves, distinctive of fugues, was highlighted through vertical alignment¡ªinspired by a technique called paradigmatic analysis, originating from anthropology and music semiology. The visualization was initially prototyped in the form of a real-time technology as part of the MusicLab Copenhagen research concert. The concert audience focused on the performance itself, and did not pay much attention to, nor appreciate, the visualization. To evaluate more thoroughly the potential of the visualization, participants with varied musical expertise and taste were invited to listen to a recorded performance of the piece and watch the visualization on their own computer. A large majority reported that they felt they understood the visualization, around half of them felt that it enhanced their musical understanding, and a small group felt that it helped them to better appreciate the music.

• Laeng, Bruno; ?vervoll, Morten & Ala-Pettersen, Ece Aybike (2025). Original art paintings are chosen over their ¡°color-rotated¡± versions because of changed color contrast. Perception. ISSN 0301-0066. doi: 10.1177/03010066251345994. Full text in Research Archive Show summary

  Rotating colors (digitally within CIELAB color space) of an artistic painting is thought to keep constant all aspects of the painting except the hues. When observers are asked to select the preferred image among color-rotated images the ¡°original¡± version of the artwork is typically selected, while the hue transformed images are rejected. We hypothesized that color contrast may be reduced after such digital rotations, which was supported by feature analyses. We also found that when the original painting or rotations were viewed individually, they did not differ in both hedonic ratings and pupil responses, though observers selected the original paintings in a forced-choice test. Hence, we generated versions of the paintings where color contrast was either enhanced or reduced and forced-choice experiments (online or in the lab) confirmed that the higher color contrast image within a pair was preferred (regardless of whether the image was an original painting or not). Eye tracking revealed that images with relatively higher contrast captured attention. We conclude that previous reports of a preference for the original artworks may have reflected reductions in color contrast of the color-rotated alternatives. These findings point to color contrast as a potential esthetic primitive feature but at the same time cast some doubts on relying exclusively on the results of forced choice tests for revealing genuine esthetic preferences.

• Hansen, Heidi Marie Umbach; R?ysamb, Espen; Vassend, Olav Mandt; Czajkowski, Nikolai Olavi; Endestad, Tor & Vuoskoski, Jonna Katariina [Show all 8 contributors for this article] (2025). Dimensions of music use motivations: Genetic and environmental underpinnings, and associations with Big Five and Empathy traits. PLOS ONE. 20(8). doi: 10.1371/journal.pone.0329808. Full text in Research Archive
• Lenc, Tomas; Lenoir, C¨¦dric; Keller, Peter; Polak, Rainer; Mulders, Dounia & Nozaradan, Sylvie (2025). Measuring self-similarity in empirical signals to understand musical beat perception. European Journal of Neuroscience. ISSN 0953-816X. 61(2). doi: 10.1111/ejn.16637. Full text in Research Archive
• Riaz, Maham; Guo, Jinyue; G?ks¨¹l¨¹k, Bilge Serdar & Jensenius, Alexander Refsum (2025). Where is That Bird? The Impact of Artificial Birdsong in Public Indoor Environments. In Sei?a, Mariana & Wirfs-Brock, Jordan (Ed.), AM '25: Proceedings of the 20th International Audio Mostly Conference. Association for Computing Machinery (ACM). ISSN 9798400708183. Show summary

  This paper explores the effects of nature sounds, specifically bird sounds, on human experience and behavior in indoor public environments. We report on an intervention study where we introduced an interactive sound device to alter the soundscape. Phenomenological observations and a survey showed that participants noticed and engaged with the bird sounds primarily through causal listening; that is, they attempted to identify the sound source. Participants generally responded positively to the bird sounds, appreciating the calmness and surprise it brought to the environment. The analyses revealed that relative loudness was a key factor influencing the experience. A too-high sound level may feel unpleasant, while a too-low sound level makes it unnoticeable due to background noise. These findings highlight the importance of automatic level adjustments and considering acoustic conditions in soundscape interventions. Our study contributes to a broader discourse on sound perception, human interaction with sonic spaces, and the potential of auditory design in public indoor environments.

• Sveen, Henrik; Bishop, Laura & Jensenius, Alexander Refsum (2025). Cyclic Patterns and Spatial Orientations in Artificial Impulsive Autonomous Sensory Meridian Response (ASMR) Sounds. In Sei?a, Mariana & Wirfs-Brock, Jordan (Ed.), AM '25: Proceedings of the 20th International Audio Mostly Conference. Association for Computing Machinery (ACM). ISSN 9798400708183. Show summary

  Autonomous Sensory Meridian Response (ASMR) is a tingling sensation in the neck and spine often triggered by specific sounds. This paper reports a study on the impact of different cyclic patterns and spatial orientations¡ªdefined here as the perceived directionality and motion of sound sources in a three-dimensional auditory space¡ªon inducing ASMR experiences. The results demonstrate that both the type of cyclic pattern and the spatial orientation significantly influence the intensity and nature of ASMR experiences. Furthermore, the research explores synthesizing ASMR-inducing sounds while preserving key audio characteristics from acoustically recorded ASMR content. Through survey data analysis and regression modeling, distinct patterns emerge regarding the relationship between personality traits and ASMR experience. The findings contribute to a deeper understanding of ASMR as a sensory phenomenon and provide insights into the potential applications of artificially generated ASMR stimuli. Additionally, the research sheds light on the role of spatiality in ASMR experiences and the synthesis of ASMR-inducing sounds for future studies and practical applications

• Riaz, Maham; Theodoridis, Ioannis; Erdem, Cagri & Jensenius, Alexander Refsum (2025). VentHackz: Exploring the Musicality of Ventilation Systems. In Cavdir, Doga & Berthaut, Florent (Ed.), Proceedings of the International Conference on New Interfaces for Musical Expression. The International Conference on New Interfaces for Musical Expression. Full text in Research Archive Show summary

  Ventilation systems can be seen as huge examples of interfaces for musical expression, with the potential of merging sound, space, and human interaction. This paper explores conceptual similarities between ventilation systems and wind instruments and explores approaches to ¡°hacking¡± ventilation systems with components that produce and modify sound. These systems enable the creation of unique sonic and visual experiences by manipulating airflow and making mechanical adjustments. Users can treat ventilation systems as musical interfaces by altering shape, material, and texture or augmenting vents. We call for heightened attention to the sound-making properties of ventilation systems and call for action (#VentHackz) to playfully improve the soundscapes of our indoor environments.

• Bravo, Pedro Pablo Lucas; Fasciani, Stefano; Szorkovszky, Alexander & Glette, Kyrre (2025). An Interactive Self-Assembly Swarm Music System in Extended Reality. In Sei?a, Mariana & Wirfs-Brock, Jordan (Ed.), AM '25: Proceedings of the 20th International Audio Mostly Conference. Association for Computing Machinery (ACM). ISSN 9798400708183. Show summary

  This paper explores the music-making capabilities of a swarm intelligence type of algorithm known as self-assembly in an interactive context using Extended Reality (XR) technologies. We describe the modifications made to a fully autonomous version of this algorithm, which we proposed in a previous work, allowing us to adapt it for user-interactive music. Moreover, we present the design of an XR system that supports this adaptation, modelled as a human-swarm interactive music system, which is implemented in the Meta Quest 3 headset. An auto-ethnographic study was conducted to discover the affordances of the system in a music improvisation session. The study, supported by empirical measurements collected during the session, enables a comparison between the interactive version and the original autonomous offline version, providing valuable insights into how a user can influence the swarm's behaviour. The results are used to discuss the music performance possibilities and future directions for this type of interactive music system.

• Riaz, Maham; Guo, Jinyue & Jensenius, Alexander Refsum (2025). Comparing Spatial Audio Recordings from Commercially Available 360-degree Video Cameras. In Brooks, Anthony L.; Banakou, Domna & Ceperkovic, Slavica (Ed.), Proceedings of the 13th EAI International Conference on ArtsIT, Interactivity and Game Creation, ArtsIT 2024. Springer. ISSN 9783031972546. p. 160¨C172. doi: 10.1007/978-3-031-97254-6_12. Show summary

  This paper investigates the spatial audio recording capabilities of various commercially available 360-degree cameras (GoPro MAX, Insta360 X3, Garmin VIRB 360, and Ricoh Theta S). A dedicated ambisonics audio recorder (Zoom H3VR) was used for comparison. Six action sequences were performed around the recording setup, including impulsive and continuous vocal and non-vocal stimuli. The audio streams were extracted from the videos and compared using spectrograms and anglegrams. The anglegrams show adequate localization in ambisonic recordings from the GoPro MAX and Zoom H3VR. All cameras feature undocumented noise reduction and audio enhancement algorithms, use different types of audio compression, and have limited audio export options. This makes it challenging to use the spatial audio data reliably for research purposes.

• Hansen, Heidi Marie Umbach; Laeng, Bruno; Vassend, Olav Mandt; Czajkowski, Nikolai Olavi; Endestad, Tor & Danielsen, Anne [Show all 7 contributors for this article] (2025). The role of Big Five personality domains and facets in musical sensibility: a twin study. Scientific Reports. 15(1). doi: 10.1038/s41598-025-95661-z.
• Nielsen, Nanette; H?ffding, Simon & Haswell-Martin, Remy (2025). Absorbed Concert Listening: A Qualitative, Phenomenological Inquiry. Philosophies. 10(2). doi: 10.3390/philosophies10020038.
• Nielsen, Nanette; Haswell-Martin, Remy; Upham, Finn & H?ffding, Simon (2025). Embodied, Exploratory Listening in the Concert Hall. Behavioral Sciences. 15(5). doi: 10.3390/bs15050710.
• Leske, Sabine Liliana; Endestad, Tor; Volehaugen, Vegard Akselsson; Foldal, Maja Dyhre; Blenkmann, Alejandro Omar & Solbakk, Anne-Kristin [Show all 7 contributors for this article] (2025). Beta oscillations predict the envelope sharpness in a rhythmic beat sequence. Scientific Reports. 15(1). doi: 10.1038/s41598-025-86895-y. Full text in Research Archive Show summary

  Periodic sensory inputs entrain oscillatory brain activity, reflecting a neural mechanism that might be fundamental to temporal prediction and perception. Most environmental rhythms and patterns in human behavior, such as walking, dancing, and speech do not, however, display strict isochrony but are instead quasi-periodic. Research has shown that neural tracking of speech is driven by modulations of the amplitude envelope, especially via sharp acoustic edges, which serve as prominent temporal landmarks. In the same vein, research on rhythm processing in music supports the notion that perceptual timing precision varies systematically with the sharpness of acoustic onset edges, conceptualized in the beat bin hypothesis. Increased envelope sharpness induces increased precision in localizing a sound in time. Despite this tight relationship between envelope shape and temporal processing, it is currently unknown how the brain uses predictive information about envelope features to optimize temporal perception. With the current EEG study, we show that the predicted sharpness of the amplitude envelope is encoded by pre-target neural activity in the beta band (15¨C25 Hz), and has an impact on the temporal perception of target sounds. We used probabilistic sound cues in a timing judgment task to inform participants about the sharpness of the amplitude envelope of an upcoming target sound embedded in a beat sequence. The predictive information about the envelope shape modulated task performance and pre-target beta power. Interestingly, these conditional beta-power modulations correlated positively with behavioral performance in the timing judgment task and with perceptual temporal precision in a click-alignment task. This study provides new insight into the neural processes underlying prediction of the sharpness of the amplitude envelope during beat perception, which modulate the temporal perception of sounds. This finding could reflect a process that is involved in temporal prediction, exerting top-down control on neural entrainment via the prediction of acoustic edges in the auditory stream.

• Agarwala, Jatin; M.S.S., Sriharsha; Vuoskoski, Jonna Katariina & Alluri, Vinoo (2025). Empathy and Music Preferences: Exploring Music Listening Behaviours in Naturalistic Settings. Proceedings of the Annual Meeting of the Cognitive Science Society. 47. Full text in Research Archive Show summary

  Empathy has been linked to music preferences in controlled laboratory settings, but naturalistic settings like music streaming platforms remain unexplored. This study investigates how trait empathy influences music preferences and sequential listening behaviors in real-world settings. To this end, we collected and analyzed one-year Spotify listening histories of 290 Indian university students alongside their trait empathy scores, measured using the IRI scale. Our results reveal that individuals who score high on the IRI subscales of Empathic Concern, Fantasy, and Perspective Taking prefer sad music. Moreover, those scoring high on Empathic Concern or Perspective Taking were found to be more likely to transition from happy to sad music. These findings partially align with previous lab-based research, specifically for the subscales of Empathic Concern and Fantasy, while providing novel insights into the relations between the Perspective Taking subscale and music consumption. The study also provides novel insights into sequential listening behaviours, thus, strengthening the evidence that empathy shapes musical preferences and listening behaviors across diverse contexts.

• Arnim, Hugh Alexander von; Erdem, Cagri; C?t¨¦-Allard, Ulysse Teller Masao & Jensenius, Alexander Refsum (2025). A Sensor is not a Sensor: Diffracting the Preservation of Sonic Microinteraction with the SiFiBand. In Sei?a, Mariana & Wirfs-Brock, Jordan (Ed.), AM '25: Proceedings of the 20th International Audio Mostly Conference. Association for Computing Machinery (ACM). ISSN 9798400708183.
• Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, P?l Gunnar; Bekinschtein, Tristan & Kochen, Silvia [Show all 11 contributors for this article] (2025). Direct brain recordings reveal implicit encoding of structure in random auditory streams. Scientific Reports. 15(1). doi: 10.1038/s41598-025-98865-5. Show summary

  The brain excels at processing sensory input, even in rich or chaotic environments. Mounting evidence attributes this to sophisticated internal models of the environment that draw on statistical structures in the unfolding sensory input. Understanding how and where such modeling proceeds is a core question in statistical learning and predictive processing. In this context, we address the role of transitional probabilities as an implicit structure supporting the encoding of the temporal structure of a random auditory stream. Leveraging information-theoretical principles and the high spatiotemporal resolution of intracranial electroencephalography, we analyzed the trial-by-trial high-frequency activity representation of transitional probabilities. This unique approach enabled us to demonstrate how the brain automatically and continuously encodes structure in random stimuli and revealed the involvement of a network outside of the auditory system, including hippocampal, frontal, and temporal regions. Our work provides a comprehensive picture of the neural correlates of automatic encoding of implicit structure that can be the crucial substrate for the swift detection of patterns and unexpected events in the environment.

• Khaksar, Weria; Saplacan, Diana; Bygrave, Lee Andrew & T?rresen, Jim (2025). Robotics in Elderly Healthcare: A Qualitative Analysis of 20 Recent European Research Projects. ACM Transactions on Human-Robot Interaction. 14(2). doi: 10.1145/3711936.
• Vuoskoski, Jonna Katariina (2025). The social dimension of music listening: Empathy and the experience of feeling moved. In Bantinaki, Katerina; Kyprianidou, Efi & Vassiliou, Fotini (Ed.), Empathy and the Aesthetic Mind: Perspectives on Fiction and Beyond. Bloomsbury Academic. ISSN 9781350409552. p. 199¨C212. doi: 10.5040/9781350409552.0024. Full text in Research Archive
• H?ffding, Simon; Bergstr?m, Rebecca Josefine Five; Bishop, Laura; Bravo, Pedro Pablo Lucas; Burnim, Kayla & Cancino-Chac¨®n, Carlos Eduardo [Show all 28 contributors for this article] (2025). Introducing the MusicLab Copenhagen Dataset. Music & Science. doi: 10.1177/20592043241303288. Full text in Research Archive Show summary

  MusicLab Copenhagen was a unique research concert featuring the world-renowned Danish String Quartet in a naturalistic setting. The audience was split between one group physically located in the hall, another group listening to a radio broadcast, and a third group watching a live stream. Qualitative and quantitative data were captured from both musicians and audiences, resulting in a comprehensive dataset that can be used to address many research questions. This document introduces the dataset, explains its structure, and reflects on the related data collection, storing, publishing, and archiving processes.

• Danielsen, Anne; Paulsrud, Thea S?rli & London, Justin (2025). The influence of vocal expertise on the perception of microrhythm in song and speech. Attention, Perception & Psychophysics. ISSN 1943-3921. doi: 10.3758/s13414-025-03057-y. Show summary

  Musical expertise affects the perception of the temporal location of a musical sound, often to a significant degree. In a study involving jazz musicians, electronic dance music (EDM) music producers, and Norwegian folk musicians, Danielsen et al. Attention, Perception & Psychophysics, 84, 599¨C615, (2022) found significant between-group differences regarding the mean location as well as the variability around that mean for a set of control and genre-specific musical sounds. The present study extends these findings to singers who are experts in jazz versus classical music genres. In two experiments participants were presented with sung (Exp. 1) and sung and spoken (Exp. 2) syllables. In both the task was to synchronize either taps or a click track with a looped target sound. In both experiments, we found that classical participants tended to place the mean location later (relative to the acoustic onset) than jazz participants, and likewise had greater variability. Interestingly, and contra to our hypothesis, this between-group difference persisted even when the stimuli were spoken rather than sung. The current study gives further insights into how musical expertise impacts the low-level processing of musical sounds and provides a window into the interaction between top-down and bottom-up aspects of music and auditory perception more generally. In addition, it provides insight into how musicians approach musical and quasi-musical tasks, as well as the way they perceive the acoustic aspects of sound both as a musical object in its own right as well as a cue for perception-action coupling with their fellow musicians.

• Grosz, Patrick Georg; Solberg, Ragnhild Torvanger; Katz, Jonah; Vu, Mai Ha; Jensenius, Alexander Refsum & Patel-Grosz, Pritty (2025). An outline of the narrative grammar of electronic dance music. Musicae Scientiae. ISSN 1029-8649. doi: 10.1177/10298649251321709.
• Otterdijk, Marieke van; Kwak, Dongho; Baselizadeh, Adel; Lindblom, Diana Saplacan & Torresen, Jim (2024). Age-Old Gesture: Analyzing the Intuitive Responses to Robot Handshakes Among Seniors and Young Adults. In Sgorbissa, Antonio & Wei, Lei (Ed.), 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798350375022. doi: 10.1109/ro-man60168.2024.10731393.
• Baselizadeh, Adel; Lindblom, Diana Saplacan; Khaksar, Weria; Uddin, Md Zia & T?rresen, Jim (2024). Comparative Analysis of Vision-Based Sensors for Human Monitoring in Care Robots: Exploring the Utility-Privacy Trade-off. In Sgorbissa, Antonio & Wei, Lei (Ed.), 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798350375022. p. 1794¨C1801. doi: 10.1109/ro-man60168.2024.10731223.
• Watanabe, Shin; Horn, Geir; T?rresen, Jim & Ellefsen, Kai Olav (2024). Improving Robot Skills by Integrating Task and Motion Planning with Learning from Demonstration. In Capi, Genci (Eds.), 2024 6th International Conference on Control and Robotics. IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798331518158. doi: 10.1109/iccr64365.2024.10927043.
• Weber, Jan; Solbakk, Anne-Kristin; Blenkmann, Alejandro Omar; Anais, Llorens; Funderud, Ingrid & Leske, Sabine Liliana [Show all 11 contributors for this article] (2024). Ramping dynamics and theta oscillations reflect dissociable signatures during rule-guided human behavior. Nature Communications. 15(1). doi: 10.1038/s41467-023-44571-7.
• Wallace, Benedikte; Nymoen, Kristian; T?rresen, Jim & Martin, Charles Patrick (2024). Breaking from realism: exploring the potential of glitch in AI-generated dance. Digital Creativity. ISSN 1462-6268. 35, p. 125¨C142. doi: 10.1080/14626268.2024.2327006. Full text in Research Archive
• Spiech, Connor; Danielsen, Anne; Laeng, Bruno & Endestad, Tor (2024). Oscillatory attention in groove. Cortex. ISSN 0010-9452. 174, p. 137¨C148. doi: 10.1016/j.cortex.2024.02.013. Show summary

  Attention is not constant but rather fluctuates over time and these attentional fluctuations may prioritize the processing of certain events over others. In music listening, the pleasurable urge to move to music (termed ¡®groove¡¯ by music psychologists) offers a particularly convenient case study of oscillatory attention because it engenders synchronous and oscillatory movements which also vary predictably with stimulus complexity. In this study, we simultaneously recorded pupillometry and scalp electroencephalography (EEG) from participants while they listened to drumbeats of varying complexity that they rated in terms of groove afterwards. Using the intertrial phase coherence of the beat frequency, we found that while subjects were listening, their pupil activity became entrained to the beat of the drumbeats and this entrained attention persisted in the EEG even as subjects imagined the drumbeats continuing through subsequent silent periods. This entrainment in both the pupillometry and EEG worsened with inc

• Bravo, Pedro Pablo Lucas; Szorkovszky, Alexander; Fasciani, Stefano & Glette, Kyrre (2024). Self-Assembly and Synchronization: Crafting Music with Multi-Agent Embodied Oscillators. In IEEE, IEEE (Eds.), 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798350363876. p. 145¨C150. doi: 10.1109/ACSOS61780.2024.00034. Full text in Research Archive
• Guo, Jinyue; Christodoulou, Anna-Maria; Laczko, Balint & Glette, Kyrre (2024). LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty Search. In Li, Xiaodong & Handl, Julia (Ed.), GECCO '24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM). ISSN 9798400704956. p. 667¨C670. doi: 10.1145/3638530.3654432. Show summary

  Evolutionary Algorithms and Generative Deep Learning have been two of the most powerful tools for sound generation tasks. However, they have limitations: Evolutionary Algorithms require complicated designs, posing challenges in control and achieving realistic sound generation. Generative Deep Learning models often copy from the dataset and lack creativity. In this paper, we propose LVNS-RAVE, a method to combine Evolutionary Algorithms and Generative Deep Learning to produce realistic and novel sounds. We use the RAVE model as the sound generator and the VGGish model as a novelty evaluator in the Latent Vector Novelty Search (LVNS) algorithm. The reported experiments show that the method can successfully generate diversified, novel audio samples under different mutation setups using different pre-trained RAVE models. The characteristics of the generation process can be easily controlled with the mutation parameters. The proposed algorithm can be a creative tool for sound artists and musicians.

• Haugen, Mari Romarheim (2024). Musical Meter as Shape: An Embodied Perspective on Metrical Trajectories and Curves. In Jensenius, Alexander Refsum (Eds.), Sonic Design: Explorations Between Art and Science. Springer Nature. ISSN 9783031578922. p. 37¨C48. doi: 10.1007/978-3-031-57892-2_3. Full text in Research Archive Show summary

  This edited volume is based on a selection of contributions at an international seminar organized in May 2022 to celebrate the achievements of Professor God?y upon his retirement from the University of Oslo. The 17 chapters cover different approaches to sonic design practice and theory, giving readers historical backdrops and an overview of the current state of both artistic and scientific research in the field.

• Jensenius, Alexander Refsum (2024). Embodied Musicking Technologies: Inspired by Professor Marc Leman. In Maes, Pieter-Jan (Eds.), Liber Amicorum Marc Leman: A life in music, science, and technology. Ghent University. Full text in Research Archive Show summary

  In his seminal book ¡°Embodied Music Cognition and Mediation Technology¡±, Marc Leman Leman (2008a) drew up a theoretical framework that has influenced a whole new generation of researchers, myself included. Building on a long tradition of systematic musicology, combined with ecological psychology and modern technology, he convincingly set the direction for a fresh approach to scientific studies of musical experiences. In the following, I will reflect on some concepts that he raised in his discussion, and I will point out some that he left for others, like me, to explore in more detail.

• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Anais, Llorens; Lin, Jack J.; Chang, Edward F. & Brunner, Peter [Show all 12 contributors for this article] (2024). Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods. Journal of Neuroscience Methods. ISSN 0165-0270. 404. doi: 10.1016/j.jneumeth.2024.110056.
• Jacoby, Nori; Polak, Rainer; Grahn, Jessica A.; Cameron, Daniel J.; Lee, Kyung Myun & Godoy, Ricardo [Show all 34 contributors for this article] (2024). Commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries. Nature Human Behaviour. p. 846¨C877. doi: 10.1038/s41562-023-01800-9. Full text in Research Archive
• Br?vig, Ragnhild & Aareskjold-Drecker, Jon Marius (2024). Vocal Chops: Another Human/Machine Hybrid. In Gull?, Jan-Olof; Hepworth-Sawyer, Russ; Paterson, Justin; Toulson, Rob & Marrington, Mark (Ed.), Innovation in Music: Cultures and Contexts. Routledge. ISSN 9781032611167. doi: 10.4324/9781003462101-8.
• Baselizadeh, Adel; Uddin, Md Zia; Khaksar, Weria; Saplacan, Diana & T?rresen, Jim (2024). PriMA-Care: Privacy-Preserving Multi-modal Dataset for Human Activity Recognition in Care Robots. In Grollman, Dan & Broadbent, Elizabeth (Ed.), HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery (ACM). ISSN 9798400703232. p. 233¨C237. doi: 10.1145/3610978.3640701. Full text in Research Archive
• Jensenius, Alexander Refsum (2024). Musikkopplevelser, kulturbruk og politikk. In Solberg, Ragnhild Torvanger (Eds.), Tverrfaglege perspektiv p? kulturbruk, publikum og deltaking. Kulturr?det. ISSN 9788270812165. p. 87¨C97. Show summary

  Hvordan brukes kultur i Norge i dag? Som musikkteknolog har jeg mest kompetanse til ? reflektere over musikk, men jeg har ogs? noe erfaring med interaktiv dans og installasjonskunst. I tillegg har forskningen min n? dreid seg mot akustikk, lydkunst, visuell estetikk og arkitektur. Sammen dekker dette mange sider av kunst- og kulturomr?det, selv om min inngang i denne artikkelen prim?rt vil v?re fra de to disiplinene musikkpsykologi og musikkteknologi. Innenfor musikkpsykologien fors?ker vi ? forst? hvordan musikk p?virker mennesker, i kropp og sinn. Musikkteknologien dreier seg derimot om ? forst? hvordan verkt?y og systemer brukes i musikalske sammenhenger.

• Christodoulou, Anna-Maria; Dutta, Sagar; Lartillot, Olivier Serge Gabriel; Glette, Kyrre & Jensenius, Alexander Refsum (2024). Exploring Convolutional Neural Network Models for Multimodal Classification of Expressive Piano Performance, Proceedings of the Sound and Music Computing Conference 2024. SMC Network. ISSN 9789893520758. Full text in Research Archive Show summary

  This paper addresses improving performance analysis by automating the recognition of expressive performance styles. We propose a multimodal fusion approach integrating audio, video, and motion data. We demonstrate the effectiveness of our approach by utilizing convolutional neural network (CNN) models. Training is done on a classical piano dataset of 211 excerpts containing audio, video, MIDI, and motion capture data. The results highlight the robustness of the CNN models; they achieve high accuracy even when trained on a limited dataset. Our study contributes to advancing the field of performance analysis by applying deep learning techniques to multimodal data.

• Oddekalv, Kjell Andreas (2024). Lyrisk brunst: Rapanalysens form, m?l og form?l. In Fj?gesund, Peter; Nordstoga, Sveinung & Baklid, Herleik (Ed.), Songen og teksten. Fr? Draumkvedet til Dimmu Borgir. Novus Forlag. ISSN 9788283901634. p. 277¨C295.
• God?y, Rolf Inge (2024). Generic Motion Components for Sonic Design. In Jensenius, Alexander Refsum (Eds.), Sonic Design: Explorations Between Art and Science. Springer Nature. ISSN 9783031578922. p. 3¨C24. doi: 10.1007/978-3-031-57892-2_1. Full text in Research Archive Show summary

  Sonic design, understood as the activity of intentionally creating sound events, encompasses both musical craftsmanship and analytic reflection. It may include technologies for sound synthesis and processing, as well as traditional methods for sound generation by musical instruments or the human voice, and also principles of orchestration. Common to many instances of sonic design, is having acoustic components that blend with concurrent real or imagined motion sensations. Thus, sonic design can be understood as a multimodal phenomenon, yet we often lack suitable concepts for differentiating and evaluating these multimodal components. This paper aims to present work on developing a scheme to detect, and actively exploit, generic motion components in sonic design, be that as analytic or creative tools.

• Bernhardt, Emil (2024). Emphatic Articulation: ¡®Klangrede¡¯ as a performative concept in Nikolaus Harnoncourt¡¯s orchestral interpretation. Studia Musicologica Norvegica. ISSN 0332-5024. 50(1-2024), p. 123¨C142. doi: 10.18261/smn.50.1.8. Full text in Research Archive
• Comstock, Lindy; Carvalho, Vinicius Rezende; Lainscsek, Claudia; Fallah, Aria & Sejnowski, Terrence J. (2024). Transcranial Magnetic Stimulation Facilitates Neural Speech Decoding. Brain Sciences. doi: 10.3390/brainsci14090895.
• Otterdijk, Maria Theodorus Henricus van; Neggers, Margot; T?rresen, Jim & Barakova, Emilia (2024). A Study on Congruency in Expressive Robot Movement While Delivering Food to Seniors. In Zhang, Houxiang & Shi, Qing (Ed.), Proceedings of the 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798350372601. p. 431¨C436. doi: 10.1109/RCAR61438.2024.10670931.
• G?ks¨¹l¨¹k, Bilge Serdar (2024). The clash between physical and digital realm: hybrid movement training during the pandemic. Discover Education. 3(1). doi: 10.1007/s44217-024-00158-y. Full text in Research Archive
• God?y, Rolf Inge (2024). Motion shapes for sound shaping. Frontiers in Psychology. 15, p. 1¨C5. doi: 10.3389/fpsyg.2024.1449021. Full text in Research Archive Show summary

  The focus of this perspective paper is on relationships between sound-producing body motion and corresponding perceived sound features, guided by the idea of shapes as the common denominator of these two domains. The term shape is used to denote graphical-pictorial renderings of phenomena that we perceive or imagine, and may have physical manifestations as tracings on paper or on screen, or as gesticulations, or just as imagined tracings in our minds. Shapes give us intermittent snapshots of unfolding motion and sound fragments, and the point of shapes is to make ephemeral sound and motion features tractable as more permanent objects. Shapes of perceived sound include dynamic, spectral, textural, pitch-related, harmonic, etc. features as shapes, whereas shapes of sound-producing motion include both motion trajectories and postures of sound- producing effectors, i.e., of fingers, hands, arms, etc., or mouth, lips, and tongue.

• Carlsen, Per Antoine; Taylor, Angelique M.; Chan, Darren M; Uddin, Md Zia; Riek, Laurel & T?rresen, Jim (2024). Real-Time Person Re-Identification to Improve Human-Robot Interaction. In Zhang, Houxiang & Shi, Qing (Ed.), Proceedings of the 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798350372601. p. 425¨C430. doi: 10.1109/RCAR61438.2024.10671043.
• Guo, Jinyue; Riaz, Maham & Jensenius, Alexander Refsum (2024). Comparing Four 360-Degree Cameras for Spatial Video Recording and Analysis, Proceedings of the Sound and Music Computing Conference 2024. SMC Network. ISSN 9789893520758. Full text in Research Archive Show summary

  This paper reports on a desktop investigation and a lab experiment comparing the video recording capabilities of four commercially available 360-degree cameras: GoPro MAX, Insta360 X3, Garmin VIRB 360, and Ricoh Theta S. The four cameras all use different recording formats and settings and have varying video quality and software support. This makes it difficult to conduct analyses and compare between devices. We have implemented new functions in the Musical Gestures Toolbox (MGT) for reading and merging files from the different platforms. Using the capabilities of FFmpeg, we have also made a new function for converting between different 360-degree video projections and formats. This allows (music) researchers to exploit 360-degree video recordings using regular video-based analysis pipelines.

• Bravo, Pedro Pablo Lucas; Fasciani, Stefano & Glette, Kyrre (2024). Csound vs. ChucK: Sound Generation for XR Multi-Agent Audio Systems in the Meta Quest 3 Using the Unity Game Engine, Proceedings of the Sound and Music Computing Conference 2024. SMC Network. ISSN 9789893520758. doi: 10.5281/zenodo.14339046. Full text in Research Archive
• Bravo, Pedro Pablo Lucas; Fasciani, Stefano; Szorkovszky, Alexander & Glette, Kyrre (2024). Interactive Sonification of 3D Swarmalators, Proceedings of the International Conference on New Interfaces for Musical Expression. NIME. p. 252¨C260. doi: 10.5281/zenodo.13904846. Full text in Research Archive
• Otterdijk, Marieke van; Laeng, Bruno; Saplacan, Diana & T?rresen, Jim (2024). The Effect of Expressive Robot Behavior on Users¡¯ Mental Effort: A Pupillometry Study. IEEE Transactions on Cognitive and Developmental Systems. ISSN 2379-8920. 16(2), p. 474¨C484. doi: 10.1109/TCDS.2024.3352893. Show summary

  Robots are becoming part of our social landscape. Social interaction with humans must be efficient and intuitive to understand because nonverbal cues make social interactions between humans and robots more efficient. This study measures mental effort to investigate factors influencing the intuitive understanding of expressive nonverbal robot motions. Using an eye tracker to measure pupil response and gaze, fifty participants were asked to watch eighteen short video clips featuring three different types of robots performing expressive robot behaviors. Our findings indicate that the appearance of the robot, the viewing angle, and the expression shown by the robot all influence the cognitive load. Therefore, they may affect the intuitive understanding of expressive robot behavior. Furthermore, we found differences in the fixation time for different features of the various robots. With these insights, we identified possible improvement directions for making interactions between humans and robots more efficient and intuitive.

• G?ks¨¹l¨¹k, Bilge Serdar (2024). Digital intervention into dramaturgical thoughts: The dramaturgy of remote dance improvisation. In Parviainen, Pessi & Rouhiainen, Leena (Ed.), Solvitur Ambulando "solved by moving" : dramaturgies of artistic research : proceedings of CARPA8. Theatre Academy, University of the Arts. ISSN 9789523530744. doi: https:/nivel.teak.fi/carpa8/digital-intervention-into-dramaturgical-thoughts-the-dramaturgy-of-remote-dance-improvisation/.
• Saplacan, Diana; Otterdijk, Marieke van & T?rresen, Jim (2024). Qualitative Observational Video-Based Study on Perceived Privacy in Social Robots¡¯ Based on Robots Appearances. Advanced Robotics and its Social Impacts (ARSO). ISSN 2162-7568. doi: 10.1109/ARSO60199.2024.10557941. Full text in Research Archive Show summary

  Privacy has recently got attention, especially since the introduction of the General Data Protection Regulation (GDPR) in Europe, the new Artificial Intelligence Act (AIA) and the new Machinery Regulation. Privacy can be defined as someone¡¯s right to keep personal matters, including personal life, personal information, or relationships, to themselves. A social robot¡¯s appearance (=the combination of embodiment and motion) may contribute to how human users perceive them, including how these robots are perceived in relation to privacy. If these robots are part of certain services such as home- or healthcare, these may also have consequences on how these services are perceived. This study aims at showcasing the users¡¯ perception of privacy based on the perceived robot¡¯s appearance. Three social robots were chosen for this purpose: PLEO (with a zoomorphic appearance), Pepper (with a childlike anthropomorphic appearance), and TIAGo (with a mechanical and asymmetrical appearance). The data was collected through an in-lab observational video-based study from 50 participants with very limited- or no experience with robots. Our findings show that PLEO was perceived as preserving most of the users' privacy, while Pepper was perceived as more privacy-invasive than PLEO but less than TIAGo. TIAGo was perceived as hard to interpret in terms of privacy. Our findings also point out that designing robots with a cute appearance, such as PLEO, may contribute to participants trusting the robot more and thus being willing to share their data. The paper provides a list of characteristics that participants associated with a social robot as preserving or not their privacy. Further, the paper discusses the appearance of these social robots in terms of ¡°cuteness¡± as a dark pattern in the design of social robots that may lead to data myopia, but also the possible consequences this may have, for vulnerable users, while trying to design more inclusive robots.

• Danielsen, Anne; Br?vig, Ragnhild; B?hler, Kjetil Klette; C?mara, Guilherme Schmidt; Haugen, Mari Romarheim & Jacobsen, Eirik [Show all 13 contributors for this article] (2024). There¡¯s More to Timing than Time: Investigating Musical Microrhythm Across Disciplines and Cultures. Music Perception. ISSN 0730-7829. 41(3), p. 176¨C198. doi: 10.1525/mp.2024.41.3.176. Full text in Research Archive Show summary

  The TIME project: Timing and Sound in Musical Microrhythm (2017¨C2022) studied microrhythm; that is, how dynamic envelope, timbre, and center frequency, as well as the microtiming of a variety of sounds, affect their perceived rhythmic properties. The project involved theoretical work regarding the basic aspects of microrhythm; experimental studies of microrhythm perception, exploring both stimulus features and the participants¡¯ enculturated expertise; observational studies of how musicians produce particular microrhythms; and ethnographic studies of musicians¡¯ descriptions of microrhythm. Collectively, we show that: (a) altering the microstructure of a sound (¡°what¡± the sound is) changes its perceived temporal location (¡°when¡± it occurs), (b) there are systematic effects of core acoustic factors (duration, attack) on microrhythmic perception, (c) microrhythmic features in longer and more complex sounds can give rise to different perceptions of the same sound, and (d) musicians are highly aware of microrhythms and have developed vocabularies for describing them. In addition, our results shed light on conflicting results regarding the effect of microtiming on the ¡°grooviness¡± of a rhythm. Our use of multiple, interdisciplinary methodologies enabled us to uncover the complexity of microrhythm perception and production in both laboratory and real-world musical contexts.

• Hansen, Heidi Marie Umbach; R?ysamb, Espen; Vassend, Olav Mandt; Czajkowski, Nikolai Olavi; Endestad, Tor & Danielsen, Anne [Show all 7 contributors for this article] (2024). The underlying architecture of musical sensibility: One general factor, four subdimensions, and strong genetic effects. Annals of the New York Academy of Sciences. ISSN 0077-8923. 1540(1), p. 291¨C306. doi: 10.1111/nyas.15227. Full text in Research Archive
• J¨®nsson, Bj?rn Thor; Erdem, Cagri; Fasciani, Stefano & Glette, Kyrre (2024). Cultivating Open-Earedness with Sound Objects discovered by Open-Ended Evolutionary Systems. In Grace, Kazjon; Llano, Maria Teresa; Martins, Pedro & Hedblom, Maria (Ed.), Proceedings of the Fifteenth International Conference on Computational Creativity. Association for Computational Creativity (ACC). ISSN 9789895416066. p. 381¨C386. Full text in Research Archive
• Laczko, Balint & Jensenius, Alexander Refsum (2024). Synth Maps: Mapping The Non-Proportional Relationships Between Synthesizer Parameters and Synthesized Sound. In Ziemer, Tim; Kantan, Prithvi Ravi; Chabot, Samuel & Braasch, Jonas (Ed.), Proceedings of the 29th International Conference on Auditory Display (ICAD 2024). The International Community for Auditory Display. ISSN 9798991456203. p. 181¨C184. doi: 10.5281/zenodo.11237788. Full text in Research Archive Show summary

  Parameter Mapping (PM) is probably the most used design approach in sonification. However, the relationship between a synthesizer¡¯s input parameters and the perceptual distribution of its output sounds might not be proportional, limiting its ability to convey relationships within the source data in the sound. This study evaluates a basic Frequency Modulation (FM) synthesis module with perceptually motivated descriptors, measures of spectral energy distribution, and latent embeddings of pre-trained audio representation models. We demonstrate how these metrics do not indicate straightforward relationships between synthesis parameters and perceived sound. This is done using interactive audiovisual scatter plots¡ªSynth Maps¡ªthat can be used to explore the sound distribution of the synthesizer and qualitatively evaluate how well the different representations align with human perception. Link to the code and the interactive Synth Maps are available.

• L?mo, Tobias; T?rresen, Jim; Kolberg, Mariana & Maffei, Renan (2024). Multi Map Visual Localization for Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters. ISSN 2377-3766. 10(2). doi: 10.1109/LRA.2024.3518071. Show summary

  Localization has long been an essential area of research within robotics. The popularity of using Unmanned Aerial Vehicles (UAVs) to solve different tasks has increased and is expected to continue. Developing a robust complementary system to the Global Navigation Satellite Systems (GNSS) used today has been researched, and visual localization using cameras and satellite images is a popular choice to use. One of the challenges with using satellite images is that different images over the same area can impact the system's performance. This article proposes a novel approach called Multi Map Visual Localization (MMVL), a method to use multiple satellite images simultaneously, which is combined using a weighted average of probability maps. The proposal uses a convolutional neural network (CNN) with a caching strategy together with Monto Carlo Localization (MCL). MMVL achieves excellent robustness compared to other approaches and manages to estimate the correct location on all test flights. At the same time, using multiple satellite images does not significantly impact accuracy and computation time.

• Thorsen, Ola; Esema, Emmanuel Joseph; Hemaz, Said; Ellefsen, Kai Olav; Herrebr?den, Henrik & Arnim, Hugh Alexander von [Show all 7 contributors for this article] (2024). Can machine learning help reveal the competitive advantage of elite beach volleyball players? In Westphal, Florian; Peretz-Andersson, Einav; Riveiro, Maria; Bach, Kerstin & Heintz, Fredrik (Ed.), 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, J?nk?ping, Sweden. Swedish Artificial Intelligence Society. ISSN 9789180757096. p. 57¨C66. doi: 10.3384/ecp208007. Full text in Research Archive Show summary

  As the world of competitive sports increasingly embraces data-driven techniques, our research explores the potential of machine learning in distinguishing elite from semi-elite beach volleyball players. This study is motivated by the need to understand the subtle yet crucial differences in player movements that contribute to high-level performance in beach volleyball. Utilizing advanced machine learning techniques, we analyzed specific movement patterns of the motion of the torso during spikes, captured through vest-mounted accelerometers. Our approach offers novel insights into the nuanced dynamics of elite play, revealing that certain movement patterns are distinctly characteristic of higher skill levels. One of our key contributions is the ability to classify spiking movements at different skill levels with an accuracy rate as high as 87%. This current research provides a foundation of what separates elite players from their semi-elite counterparts.

• Huster, Rene J¨¹rgen; Thunberg, Christina; Solbakk, Anne-Kristin; Gravholt, Claus H. & Fjermestad, Krister Westlye (2024). Inhibitory deficits in Klinefelter syndrome are secondary to deficits in the auditory and motor domain. NeuroImage: Clinical. 44. doi: 10.1016/j.nicl.2024.103674.
• Laczko, Balint (2024). The Hum: 3D Audiovisual Live Performance for Projection and Spatial Audio. In Ziemer, Tim; Kantan, Prithvi Ravi; Chabot, Samuel & Braasch, Jonas (Ed.), Proceedings of the 29th International Conference on Auditory Display (ICAD 2024). The International Community for Auditory Display. ISSN 9798991456203. p. 201¨C203. Full text in Research Archive Show summary

  The Hum is a scalable audiovisual live performance instrument. It is a complete world full of sounding objects that interact with each other. It is based on a fictional story. The Hum currently contains around five thousand musical phrases. The sound dataset was then analysed with a bespoke set of descriptors, and the resulting representation was projected into 3D space using UMAP. The live performance involves exploring this 3D space both in terms of real-time visuals, and in a spatial audio setup. At its core the performance is the sonification of the various timbral and musical relationships of the sound dataset, expressed by various interactions triggered between neighboring sounds or using the whole dataset. The interactions may evoke associations of weather (blowing wind, rain or chain lightning). The structure of the performance follows a 3-stage plan, that is realized via improvisation. Thus the duration of the performance is flexible and can last between 15 to 30 minutes. The Hum is realized entirely in Max/MSP.

• Sandanger, Tonje Viddal; Sivachandran, Annica; Eriksen, Roman Stenseth; Baselizadeh, Adel; Otterdijk, Maria van & Kwak, Dongho [Show all 7 contributors for this article] (2024). Users¡¯ perception and dynamic motion velocity matching in human-robot approach scenarios. In Harada, Kensuke; Demircan, Emel & Weiss, Astrid (Ed.), Proceedings of 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2024). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798350344646. p. 67¨C73. doi: 10.1109/ARSO60199.2024.10557976.
• Martin, Remy Richard & Nielsen, Nanette (2024). Enacting Musical Aesthetics: The Embodied Experience of Live Music. Music & Science. 7. doi: 10.1177/20592043231225732. Show summary

  The vitality and affective potential of the live concert experience is a result of rich, cross-sensory interactions and varied participatory practices. The complexity of such entanglements has recently led philosophers to argue for an enactive, affordance-based approach that interrogates a variety of perceptual and sensory possibilities inherent in aesthetic experiences. Further, Shaun Gallagher's recent addition of the 4As (Affect, Agency, Affordance, Autonomy) to the 4Es (Embodied, Embedded, Enacted, Extended) for clarifying mind¨Cworld relations seem to have potent explanatory power for these kinds of encounters. Building on such current philosophical approaches while examining specific (and actual) live musical engagement, this article offers an interpretation of selected audience data from the MusicLab Copenhagen with the Danish String Quartet research concert to discuss particular responses from the audience physically present at the venue. Responding to neuroaesthetic approaches, we clarify the audience members¡¯ individual and collective aesthetic experience through an enactive, affordance-based approach. We suggest that what is at play in the live concert environment is a mode of attentive dynamic listening. Rather than seeking to characterize the audience as passively responding to music, a 4Es/4As approach to aesthetic experience seeks to clarify embodied-enactive audience engagement for which anticipation is a dynamic factor that enables further musical action and resonance, also for the musicians on stage.

• Kjus, Yngvar; Br?vig, Ragnhild & Wang, Solveig Margrethe (2024). Kvinners f?rste m?te med DAW: en fornemmelse av ? v?re i gutteklubbens skygger. In Hagen, Anja Nylund; Solberg, Ragnhild Torvanger; N?rland, Torgeir Uberg & Duch, Michael Francis (Ed.), N?r musikken tek form: Om skapande praksisar i musikk. Fagbokforlaget. ISSN 9788245047240. p. 437¨C463. doi: 10.55669/oa491112. Full text in Research Archive Show summary

  Denne studien springer ut av en nysgjerrighet p? hvorfor det er f?rre kvinner enn menn som produserer musikk. Mer spesifikt ville vi vite mer om hvordan kvinner opplever sitt f?rste m?te med produksjonsteknologi (n?rmere bestemt DAW). Studien tar utgangspunkt i introduksjonskurs i musikkproduksjon og baserer seg p? intervjuer med ?tte kvinnelige kursdeltakere samt tre kursholdere. For kvinnene vi snakket med, fremsto mestring av teknologien som n?dvendig for ? oppn? kontroll, eierskap og anerkjennelse for musikken de skaper. Samtidig tydeliggj?r studien ogs? behovet for kreative fellesskap. Informantene erfarte et stort mulighets- rom i ? mestre DAW-teknologi samtidig som de pekte p? ulike former for hindringer. En av disse er ulike former for mannlig dominans som til en viss grad kan begrense deres kreative utfoldelse og muligheter til ? l?re seg ? bruke den n?dvendige teknologien. Begrensningene spenner fra indi- rekte signaler om at musikkproduksjon ikke ?er noe for jenter?, til direkte avvisning av deres bidrag og tilgang til skapende roller. Studien diskuterer til sist hvordan introduksjonskurs i produksjonsteknologi rettet mot kvin- ner kan bidra til ? utjevne kj?nnsbalansen i musikkfeltet.

• Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Doelling, Keith & Solbakk, Anne-Kristin [Show all 7 contributors for this article] (2024). Rhythm-based Temporal Expectations: Unique Contributions of Predictability and Periodicity. Journal of Cognitive Neuroscience. ISSN 0898-929X. doi: 10.1162/jocn_a_02261.
• Vuoskoski, Jonna Katariina; Treider, John Melvin Gudnyson & Huron, David (2024). Does fantasy empathy predict the attribution of virtual agency to music? Musicae Scientiae. ISSN 1029-8649. doi: 10.1177/10298649241258745. Full text in Research Archive
• Oddekalv, Kjell Andreas (2024). Rap as Composite Auditory Streams: Techniques and Approaches for Chimericity Through Layered Vocal Production in Hip-Hop, and their Aesthetic Implications. In Gull?, Jan-Olof; Hepworth-Sawyer, Russ; Paterson, Justin; Toulson, Rob & Marrington, Mark (Ed.), Innovation in Music: Cultures and Contexts. Routledge. ISSN 9781032611167.
• Swarbrick, Dana; Martin, Remy Richard; H?ffding, Simon; Nielsen, Nanette & Vuoskoski, Jonna Katariina (2024). Audience Musical Absorption: Exploring Attention and Affect in the Live Concert Setting. Music & Science. 7. doi: 10.1177/20592043241263461. Full text in Research Archive
• Lartillot, Olivier (2024). Musicological and Technological Perspectives on Computational Analysis of Electroacoustic Music. In Jensenius, Alexander Refsum (Eds.), Sonic Design: Explorations Between Art and Science. Springer Nature. ISSN 9783031578922. p. 271¨C297. doi: 10.1007/978-3-031-57892-2_15. Full text in Research Archive Show summary

  Analysing electroacoustic music remains challenging, leaving this artistic treasure somewhat out of reach of mainstream musicology and many music lovers. This chapter examines electroacoustic music analysis, covering musicological investigations and desires and technological challenges and potentials. The aim is to develop new technologies to overcome the current limitations. The compositional and musicological foundations of electroacoustic music analysis are based on Pierre Schaeffer¡¯s Trait¨¦ des objects musicaux. The chapter presents an overview of core analytical principles underpinning more recent musicological approaches, including R. Murray Schafer¡¯s soundscape analysis, Denis Smalley¡¯s spectro-morphology, and Lasse Thoresen¡¯s graphical formalisation. Then the state of the art in computational analysis of electroacoustic music is compiled and organised along broad themes, from detecting sound objects to estimating dynamics, facture and grain, mass, motions, space, timbre and rhythm. Finally, I sketch the principles of what could be a Toolbox des objets sonores.

• Durand, Jean-Baptiste; Marchand, Sarah; Nasres, Ilyas; Laeng, Bruno & Castro, Vanessa De (2024). Illusory light drives pupil responses in primates. Journal of Vision. 24(7), p. 1¨C16. doi: 10.1167/jov.24.7.14. Full text in Research Archive Show summary

  In humans, the eye pupils respond to both physical light sensed by the retina and mental representations of light produced by the brain. Notably, our pupils constrict when a visual stimulus is illusorily perceived brighter, even if retinal illumination is constant. However, it remains unclear whether such perceptual penetrability of pupil responses is an epiphenomenon unique to humans or whether it represents an adaptive mechanism shared with other animals to anticipate variations in retinal illumination between successive eye fixations. To address this issue, we measured the pupil responses of both humans and macaque monkeys exposed to three chromatic versions (cyan, magenta, and yellow) of the Asahi brightness illusion.We found that the stimuli illusorily perceived brighter or darker trigger differential pupil responses that are very similar in macaques and human participants. Additionally, we show that this phenomenon exhibits an analogous cyan bias in both primate species. Beyond evincing the macaque monkey as a relevant model to study the perceptual penetrability of pupil responses, our results suggest that this phenomenon is tuned to ecological conditions because the exposure to a ¡°bright cyan-bluish sky¡± may be associated with increased risks of dazzle and retinal damages.

• J¨®nsson, Bj?rn Thor; Erdem, Cagri & Glette, Kyrre (2024). A System for Sonic Explorations With Evolutionary Algorithms. Journal of The Audio Engineering Society. ISSN 1549-4950. 72(4), p. 257¨C266. doi: 10.17743/jaes.2022.0137.
• Kwak, Dongho; Baselizadeh, Adel; Otterdijk, Marieke van; Saplacan, Diana & T?rresen, Jim (2024). "Noisy" Matching of Motion Velocity of an Assistive Robot to the Users' Walking Velocity. ACM/IEEE International Conference on Human-Robot Interaction (HRI). ISSN 2167-2121. doi: 10.1145/3610978.3640546. Full text in Research Archive Show summary

  This study investigates the impact of dynamic matching of robot motion velocity to users' walking velocity in a human-robot approach scenario on three categories: perceived comfort, interactivity, and naturalness. Considering age diversity, participants were divided into two age groups. Young participants tended to rate higher for all three categories when the robot's approaching velocity was dynamically matched. In contrast, elderly participants preferred a steady and slow robot approach for comfort and predictability. These findings contribute to the ongoing effort to design assistive robots that effectively cater to diverse user groups, ultimately enhancing user satisfaction and acceptance. Taken together, this study highlights the importance of dynamically tailoring robot behaviors based on user demographics for positive Human-Robot Interactions.

• Asko, Olgerta; Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Foldal, Maja Dyhre; Anais, Llorens & Funderud, Ingrid [Show all 10 contributors for this article] (2024). Altered hierarchical auditory predictive processing after lesions to the orbitofrontal cortex. eLIFE. 13. doi: 10.7554/eLife.86386.
• Otterdijk, Marieke van; Saplacan, Diana; Laeng, Bruno & T?rresen, Jim (2024). An Exploratory Study on People's Intuitive Understanding of Expressive Robot Behavior. ACM/IEEE International Conference on Human-Robot Interaction (HRI). ISSN 2167-2121. p. 1072¨C1076. doi: 10.1145/3610978.3640568. Full text in Research Archive Show summary

  Robots are anticipated to communicate with humans in our social context. Using nonverbal communication by robots increases communication comprehension because humans intuitively understand such behavior due to their experience of human-human interaction. Thus, this behavior is suitable for studying what makes robot motion intuitive to understand in human-robot interaction (HRI). We study how robot features help humans intuitively grasp expressive robot gestures, concentrating on what makes behavior easy to interpret. After watching eighteen nine-second videos of three robot kinds demonstrating expressive robot actions, 50 participants completed an open-ended survey. Our findings highlight the inputs, mediating factors, and outputs that users reported based on observing examples of expressive robot behavior. These insights are a starting point for analyzing robot behavior from the perspective of intuition and provide a foundation for a theoretical framework for intuition in HRI.

• Fleckenstein, Abbigail Marie; Vuoskoski, Jonna Katariina & Dibben, Nicola (2024). Understanding Musical Beauty. Empirical Studies of the Arts. ISSN 0276-2374. doi: 10.1177/02762374241253771.
• Upham, Finn; H?ffding, Simon & Rosas, Fernando E. (2024). The Stilling Response: From Musical Silence to Audience Stillness. Music & Science. 7, p. 1¨C14. doi: 10.1177/20592043241233422.
• Wallace, Benedikte; Otterdijk, Marieke van; Zhang, Yuchong; Rajabi, Nona; Marin-Bucio, Diego & Kragic, Danica [Show all 7 contributors for this article] (2024). Imitation or Innovation? Translating Features of Expressive Motion from Humans to Robots, HAI '24: Proceedings of the 12th International Conference on Human-Agent Interaction. Association for Computing Machinery (ACM). ISSN 9798400711787. p. 296¨C304. doi: 10.1145/3687272.3688302.
• H?ffding, Simon; Hansen, Niels Christian & Jensenius, Alexander Refsum (2024). Music Research ¡°in the Wild¡± ¨C Introducing the MusicLab Copenhagen Special Collection. Music & Science. 7. doi: 10.1177/20592043241294161. Full text in Research Archive Show summary

  This special collection of Music & Science contains 111 articles. They thoroughly describe a particular instantiation of a research concert, namely the innovative and complex event MusicLab Copenhagen. This took place over 14?hours on October 26, 2021, in Copenhagen, Denmark. Working with The Danish String Quartet (DSQ), one of the world's best chamber ensembles, a research team from RITMO, complemented with researchers from several other European institutions, ran experiments and studied how mind and body are engaged during a concert. This was a unique opportunity to capture concurrent qualitative, behavioral, and physiological measurements in a concert hall, delicately balancing the scientific ideals of reliability and ecological validity.

• Karbasi, Seyed Mojtaba; Jensenius, Alexander Refsum; God?y, Rolf Inge & T?rresen, Jim (2024). Embodied intelligence for drumming; a reinforcement learning approach to drumming robots. Frontiers in Robotics and AI. 11. doi: 10.3389/frobt.2024.1450097. Show summary

  This paper investigates the potential of the intrinsically motivated reinforcement learning (IMRL) approach for robotic drumming. For this purpose, we implemented an IMRL-based algorithm for a drumming robot called ZRob, an underactuated two-DoF robotic arm with flexible grippers. Two ZRob robots were instructed to play rhythmic patterns derived from MIDI files. The RL algorithm is based on the deep deterministic policy gradient (DDPG) method, but instead of relying solely on extrinsic rewards, the robots are trained using a combination of both extrinsic and intrinsic reward signals. The results of the training experiments show that the utilization of intrinsic reward can lead to meaningful novel rhythmic patterns, while using only extrinsic reward would lead to predictable patterns identical to the MIDI inputs. Additionally, the observed drumming patterns are influenced not only by the learning algorithm but also by the robots¡¯ physical dynamics and the drum¡¯s constraints. This work suggests new insights into the potential of embodied intelligence for musical

• Campbell, Edward; Souza, Jonathan De & Jensenius, Alexander Refsum (2024). Gestures, Actions and Play In Bj?rn Heile's 3 ¡Á 10 Musical Actions For Three Socially Distanced Performers. Tempo. ISSN 0040-2982. 78(310), p. 51¨C61. Show summary

  Bj?rn Heile¡¯s 3 ¡Á 10 Musical Actions for Three Socially Distanced Performers features frequent changes in musical material, playing style and instrumental combinations. Throughout a series of short sections, the performers play, sing, speak, conduct and move around, following instructions that appear on tablets. This article reflects on audiences¡¯ experiences of the work and on musical actions more generally. We consider musical actions as short, coherent motion chunks and distinguish between several types of action that appear in the piece: gestures (communicative actions, with or without sound), reactions (where a player responds to another) and interactions (where players mutually coordinate). The musicians¡¯ individual and collective actions create a sense of play: on the one hand, they seem free and depart from standard concert conventions; on the other hand, they seem to be following a set of rules, even if these rules are not explained to the audience. As such, we approach the piece via theories of play and relate it to earlier modernist musical games. Ultimately, 3 ¡Á 10 Musical Actions emphasises several aspects of musical actions, as social, functional, expressive, playful and embodied.

• Docherty, Claire; Iddon, Martin; Jensenius, Alexander Refsum; MacDonald, Raymond & Stanley, Jane (2024). ¡®Are You Still There?¡¯ Experiencing Sonic Bothy¡¯S Verbaaaaatim. Tempo. ISSN 0040-2982. 78(310). Show summary

  Sonic Bothy is an inclusive experimental and new-music organisation with an ensemble of musicians with and without disabilities and neurodiversities. This article considers their audiovisual piece Verbaaaaatim (2020¨C21), its form marked by the context of its development and composition during the COVID-19 pandemic, using a set of interlayered perspectives that mirror the formal layers of the piece. Recorded in a single take, it comprises instrumental sounds, spoken words, written words, static and dynamic graphics and videos of the performers, aligned so that the piece seems consistently to flow onwards, although it is not always clear which element impels its forward motion. The article considers, in particular, Verbaaaaatim¡¯s presentation of modes of embodied conviviality between its performers, the ways these find resonance in wider histories of experimental music and the ways in which its elements can be understood in an ecological framework as ¡®sound actions¡¯.

• Vuoskoski, Jonna Katariina & Peltola, Henna-Riikka (2024). The Aversive Musical Experience Scale (AMES): Measuring individual differences in the intensity of music-evoked aversion. Psychology of Music. ISSN 0305-7356. doi: 10.1177/03057356241239336. Full text in Research Archive
• Christodoulou, Anna-Maria; Lartillot, Olivier & Jensenius, Alexander Refsum (2024). Multimodal music datasets? Challenges and future goals in music processing. International Journal of Multimedia Information Retrieval. ISSN 2192-6611. 13(3). doi: 10.1007/s13735-024-00344-6. Full text in Research Archive Show summary

  The term ¡°multimodal music dataset¡± is often used to describe music-related datasets that represent music as a multimedia art form and multimodal experience. However, the term ¡°multimodality¡± is often used differently in disciplines such as musicology, music psychology, and music technology. This paper proposes a definition of multimodality that works across different music disciplines. Many challenges are related to constructing, evaluating, and using multimodal music datasets. We provide a task-based categorization of multimodal datasets and suggest guidelines for their development. Diverse data pre-processing methods are illuminated, highlighting their contributions to transparent and reproducible music analysis. Additionally, evaluation metrics, methods, and benchmarks tailored for multimodal music processing tasks are scrutinized, empowering researchers to make informed decisions and facilitating cross-study comparisons.

• Carvalho, Vinicius Rezende; Mendes, Eduardo Mazoni; Fallah, Aria; Sejnowski, Terrence J.; Comstock, Lindy & Lainscsek, Claudia (2024). Decoding imagined speech with delay differential analysis. Frontiers in Human Neuroscience. 18. doi: 10.3389/fnhum.2024.1398065.
• Helgesen, Sander Elias Magnussen; Nakashima, Kazuto; T?rresen, Jim & Kurazume, Ryo (2024). Fast LiDAR Upsampling using Conditional Diffusion Models. In Sgorbissa, Antonio & Wei, Lei (Ed.), 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798350375022. p. 272¨C277. doi: 10.1109/RO-MAN60168.2024.10731454.
• Jensenius, Alexander Refsum (2024). Embodied music learning. In Schilhab, Theresa & Groth, Camilla (Ed.), Embodied Learning and Teaching using the 4E Cognition Approach: Exploring Perspectives in Teaching Practices. Routledge. ISSN 9781003341604. Full text in Research Archive Show summary

  This chapter presents a pedagogical approach based on the author¡¯s experience teaching interactive music technology design from an embodied music cognition perspective. The ¡°musicking quadrant¡± is introduced as a framework to understand the experiences of those who make music in real-time (performers) and non-real-time (instrument makers, composers, producers), and those who experience music in real-time (perceivers) and non-real-time (analysts). New technologies challenge these roles and allow for new types of musical engagement that align with the 4E cognition perspectives.

• J¨®nsson, Bj?rn Thor; Erdem, Cagri; Fasciani, Stefano & Glette, Kyrre (2024). Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs. In Johnson, Colin; Rebelo, S¨¦rgio M. & Santos, Iria (Ed.), Artificial Intelligence in Music, Sound, Art and Design. Springer Nature. ISSN 9783031569920. doi: 10.1007/978-3-031-56992-0_14. Full text in Research Archive
• Dutta, Sagar (2024). AudioNet: Supervised Deep Hashing for Retrieval of Similar Audio Events. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). ISSN 2329-9290. doi: 10.1109/TASLP.2024.3446232. Full text in Research Archive
• Gholamipour-Shirazi, Azarmidokht & Mossige, Joachim (2024). Impact of Mixing on Flavor and Aroma Development in Fermented FoodsImpact of Mixing on Flavor and Aroma Development in Fermented Foods. arXiv. doi: 10.48550/arXiv.2412.10190.
• Bishop, Laura (2024). Togetherness in musical interaction. Routledge Open Research. doi: 10.12688/routledgeopenres.18202.1.
• Veenstra, Frank; Szorkovszky, Alexander & Glette, Kyrre (2023). Decentralized Control and Morphological Evolution of 2D Virtual Creatures. In Iizuki, Hiroyuki; Suzuki, Keisuke; Uno, Ryoko; Damiano, Luisa; Spychala, Nadine; Aguilera, Miguel; Izquierdo, Eduardo; Suzuki, Reiji & Baltieri, Manuel (Ed.), ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. doi: 10.1162/isal_a_00656.
• Danielsen, Anne & Jacobsen, Eirik (2023). ¡°Hard¡± or ¡°Soft¡±: Shaping Microtiming through Sonic Features in Jazz-Related Groove Performance. Journal of Jazz Studies (JJS). 14(2). Full text in Research Archive
• Nielsen, Nanette; H?ffding, Simon & Laeng, Bruno (2023). Mind surfing: attention in musical absorption. Cognitive Systems Research. ISSN 2214-4366. doi: 10.1016/j.cogsys.2023.101180.
• Corral-Lopez, Alberto; Kotrschal, Alexander; Szorkovszky, Alexander; Garate-Olaizola, Maddi; Herbert-Read, James & Bijl, Wouter van der [Show all 13 contributors for this article] (2023). Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies. Nature Communications. 14(1). doi: 10.1038/s41467-023-41635-6. Full text in Research Archive
• Thedens, Hans-Hinrich & Lartillot, Olivier (2023). AudioSegmentor: Et verkt?y for formidling av arkivopptak p? nettet. Studia Musicologica Norvegica. ISSN 0332-5024. 49(1), p. 92¨C101. doi: 10.18261/smn.49.1.7. Full text in Research Archive Show summary

  Norske folkemusikkarkiver st?r foran utfordringer vedr?rende ? gj?re sine samlinger tilgjengelige p? nett n?r feltopptak faller i det fri etter 50 ?r. Denne artikkelen beskriver et fors?k p? ? tilrettelegge brukskopier i form av lydfiler slik at brukerne kan lytte til enkeltopptak i en nettpresentasjon av et arkivs innhold. Lydklassifiseringsteknologi er i stand til ? finne og markere starttidspunkt p? enkeltmelodier og spare arkivpersonalet for mange timers manuelt arbeid. Mirage-prosjektet p? UiOs RITMO-senter har utviklet et grensesnitt for et slikt verkt?y for Nasjonalbibliotekets folkemusikkarkiv og dets nettkatalog WebbFIOL. L?sningen vil kunne tas i bruk av alle som st?r overfor liknende utfordringer.

• Sailer, Uta; Zucknick, Manuela Karola & Laeng, Bruno (2023). Caressed by music: Related preferences for velocity of touch and tempo of music? Frontiers in Psychology. 14. doi: 10.3389/fpsyg.2023.1135988. Full text in Research Archive
• Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2023). Toward cultures of rhythm in legged robots. In Iizuki, Hiroyuki; Suzuki, Keisuke; Uno, Ryoko; Damiano, Luisa; Spychala, Nadine; Aguilera, Miguel; Izquierdo, Eduardo; Suzuki, Reiji & Baltieri, Manuel (Ed.), ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. doi: 10.1162/isal_a_00673. Full text in Research Archive
• Weber, Jan; Iwama, Gabriela; Solbakk, Anne-Kristin; Blenkmann, Alejandro Omar; Larsson, P?l Gunnar & Ivanovic, Jugoslav [Show all 9 contributors for this article] (2023). Subspace partitioning in the human prefrontal cortex resolves cognitive interference. Proceedings of the National Academy of Sciences of the United States of America (PNAS). ISSN 0027-8424. 120(28). doi: 10.1073/pnas.2220523120. Full text in Research Archive
• H?ffding, Simon; Yi, Wenbo; Lippert, Eigil; Sanchez, Victor Evaristo Gonzalez; Bishop, Laura & Laeng, Bruno [Show all 9 contributors for this article] (2023). Into the Hive-Mind: Shared Absorption and Cardiac Interrelations in Expert and Student String Quartets. Music & Science. 6. doi: 10.1177/20592043231168597. Full text in Research Archive
• Riaz, Maham (2023). An Investigation of Supervised Learning in Music Mood Classification for Audio and MIDI. In Andreopoulou, Areti & Boren, Braxton (Ed.), Proceedings of the Audio Engineering Society 155th Convention. Audio Engineering Society, Inc.. ISSN 9781713894667. Show summary

  This study aims to use supervised learning ¨C specifically, support vector machines ¨C as a tool for a music mood classification task. Four audio and MIDI datasets, each containing over four hundred files, were composed for use in the training and testing processes. Mood classes were formed according to the valence-arousal plane, resulting in the following: happy, sad, relaxed, and tense. Additional runs were also conducted with the linear discriminant analysis, a dimensionality reduction technique commonly used to better the performance of the classifier. The relevant audio and MIDI features were carefully selected for extraction. MIDI datasets for the same music generated better classification results than corresponding audio datasets. Furthermore, when music is composed with each mood associated with a particular key instead of mixed keys, the classification accuracy is higher.

• Riaz, Maham & Christodoulou, Anna-Maria (2023). Using SuperCollider with OSC Commands for Spatial Audio Control in a Multi-Speaker Setup. In Andreopoulou, Areti & Boren, Braxton (Ed.), Proceedings of the Audio Engineering Society 155th Convention. Audio Engineering Society, Inc.. ISSN 9781713894667. Show summary

  With the ever-increasing prevalence of technology, its application in various music-related processes, such as music composition and performance, has become increasingly prominent. One fascinating area where technology finds utility is in music performance, offering opportunities for extensive sound exploration and manipulation. In this paper, we introduce an approach utilizing SuperCollider and Open Sound Control (OSC) commands in a multi-speaker setup, enabling spatial audio control for a truly interactive audio spatialization experience. We delve into the musicological dimensions of these distinct methods, examining their integration within a live performance setting to uncover their artistic and expressive potential. By merging technology and musicology, our research aims to unlock new avenues for immersive and captivating musical experiences.

• Treider, John Melvin Gudnyson; Kunst, Jonas R. & Vuoskoski, Jonna Katariina (2023). The influence of musical parameters and subjective musical ratings on perceptions of culture. Scientific Reports. doi: 10.1038/s41598-023-45805-w. Full text in Research Archive

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• Arnim, Hugh Alexander von; Fleckenstein, Abbigail Marie & Christodoulou, Anna-Maria (2025). SysMus25 Conference Proceedings. Zenodo. 164 p. doi: 10.5281/zenodo.17632991.
• Fleckenstein, Abbigail Marie; Arnim, Hugh Alexander von & Christodoulou, Anna-Maria (2025). SysMus25 Book of Abstracts. Zenodo. 165 p. doi: 10.5281/zenodo.17531650.
• G?ks¨¹l¨¹k, Bilge Serdar (2024). Immersive Technologies and Their Implications in Theatre for Young Audiences:Challenges and Opportunities. C?ndido. ISBN 9786587602479. 15 p. Show summary

  Today¡¯s immersive technology creates a real-like ambience, offering a unique interactive and multimodal experience onstage. These implications might look promising for new aesthetic forms. However, using them on the stage in this technology-driven world raises some concerns about their potential long-term impact on young people¡¯s development. In this paper, I will critically evaluate the use of immersive technology in TYA, questioning whether performing arts can offer a new form of aesthetic experience.

• Gu?mundsson, Gylfi ?¨®r; Amsaleg, Laurent; Chetouani, Adadine; Jonsson, Bjorn Por; Gennaro, Claudio & Kijak, Ewa (2024). CBMI 24: Proceedings of the 2024 International Conference on Content-Based Multimedia Indexing. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350378443. 380 p.
• Bucio, Diego Antonio Mar¨ªn (2024). Encarnando lo artificial: danza y co-creatividad humano-IA. Universidad Latina de Am¨¦rica. ISBN 9786077030263. 170 p. Show summary

  "Encarnando lo artificial" ["Embodying the artificial"] captures the collaborative process between humans and machines to perform dance. This research presents the foundations of the emerging field of AI dance and through taxonomies, conceptual models and methods of human-machine creation, discerns the forms of technological integration in artistic creation. The author presents a border research that revolves around three ethnographies involving the temporary integration of technology into the body, the development of an AI dancer, and the dance experience alongside an artificial intelligence. Embodying the Artificial is a valuable resource for students, educators, researchers and artists, as well as for any reader interested in understanding the convergence of dance and technology in the contemporary era.

• Bucio, Diego Antonio Mar¨ªn (2024). Hacia una danza posthumana: encarnando lo artificial. Paso de Gato. ISBN 9786078584727. 143 p. Show summary

  Hacia una danza posthumana ["Towards a posthuman dance"] questions the boundaries of artistic creation by testing the experience of dancing in an artificial intelligence (AI) entity. This synthesised edition of "Encarnando lo artificial" presents recent experiences of dance creation with machines and introduces concepts and terminology for understanding human-AI interaction in the performing arts. The author also presents a synthesis of the reflections arising from his collaboration with an AI dancer. The author expresses a perspective far removed from anthropocentric premises in order to break with the conventional understanding of dance, challenging concepts such as the body and creativity. He also reflects on the ethics of its application in the performing arts and its impact on the cultural industries.

• Jensenius, Alexander Refsum (2024). Sonic Design: Explorations Between Art and Science. Springer Nature. ISBN 9783031578922. 347 p. Full text in Research Archive Show summary

  This edited volume is based on a selection of contributions at an international seminar organized in May 2022 to celebrate the achievements of Professor God?y upon his retirement from the University of Oslo. The 17 chapters cover different approaches to sonic design practice and theory, giving readers historical backdrops and an overview of the current state of both artistic and scientific research in the field.

• Br?vig, Ragnhild (2023). Parody in the Age of Remix: Mashup Creativity vs. the Takedown. MIT Press. ISBN 9780262374125. 328 p. Show summary

  The art of mashup music, its roots in parody, and its social and legal implications. Parody needn't recognize copyright¡ªbut does an algorithm recognize parody? The ever-increasing popularity of remix culture and mashup music, where parody is invariably at play, presents a conundrum for internet platforms, with their extensive automatic, algorithmic policing of content. Taking a wide-ranging look at mashup music¡ªthe creative and technical considerations that go into making it; the experience of play, humor, enlightenment, and beauty it affords; and the social and legal issues it presents¡ªParody in the Age of Remix offers a pointed critique of how society balances the act of regulating art with the act of preserving it. In several jurisdictions, national and international, parody is exempted from copyright laws. Ragnhild Br?vig contends that mashups should be understood as a form of parody, and thus be protected from removal from hosting platforms. Nonetheless, current copyright-related content-moderation regimes, relying on algorithmic detection and automated decision making, frequently eliminate what might otherwise be deemed gray-area content¡ªto the detriment of human listeners and, especially, artists. Given the inaccuracy of takedowns, Parody in the Age of Remix makes a persuasive argument in favor of greater protection for remix creativity in the future¡ªbut it also suggests that the content-moderation challenges facing mashup producers and other remixers are symptomatic of larger societal issues.

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• Christodoulou, Anna-Maria; Arnim, Hugh Alexander von & Jensenius, Alexander Refsum (2025). Supporting Narrative Comprehension in Programmatic Music through Music and Light.
• Snaprud, Per; Jensenius, Alexander Refsum; Endestad, Tor & W?ien, Randi (2025). Concientia. doi: https:/happeningnext.com/event/samtale-om-bevissthet-og-det-%C3%A5-skape-eid3a0d68lba3. Show summary

  I forbindelse med utstillingen Conscientia p? Gamle Munch arrangeres en samtale om bevissthet og det ? skape. Utgangspunktet for tema til utstillingen er bevissthet og forhold knyttet til det ? skape. En del av utstillingen tar utgangspunkt i en serie med selvportretter av Randi W?ien basert p? MR bilder tatt av hennes eget hode. Bildene representerer et sett av intrikate m?nstre i ulike st?rrelser og sammensetninger og kan refereres til ulike organer, andre vesener og ren natur. Samtidig er de en representasjon av kunstneren slik hun er satt sammen i sitt eget hode. Keramiker Jorid Krosse lager objekter med form og m?nster som tar inspirasjon fra naturen og kan relateres til organiske strukturer, hoder og andre vesener. I samspill med maleriene vil de keramiske objektene settes i en relasjon til det kroppslige. Samtalen om bevissthet og det ? skape bruker utstillingen som et utgangspunkt til ? f? belyst hva den skapende prosessen kan bety for v?r egen utvikling og hvordan hjernen fungerer og responderer p? skapende prosesser. Tema for samtalen vil v?re forholdet mellom kunst og bevissthet, om relasjonen mellom maleri og objekt og om hvordan det ? skape kunst kan p?virke v?r forst?else av oss selv og omgivelsene. For tiden forskes det mye p? hva som faktisk skjer i hjernen n?r man skaper noe. Vi har f?tt med oss to av de fremste forskerne p? temaet fra universitetet i Oslo. Alexander Refsum Jensenius er professor i musikkteknologi ved Universitetet i Oslo, hvor han ogs? leder RITMO Senter for tverrfaglige studier av rytme, tid og bevegelse og MishMash Senter for KI og kreativitet. Han forsker p? hvordan lyd og musikk p?virker kropp og sinn, bevisst og ubevisst. Tor Endestad er f?rsteamanuensis i kognitiv- og nevropsykologi p? univeristetet i Oslo og er tilknyttet Ritmo. Han leder FRONT neurolab og forsker p? kognitiv psykologi og kognitiv nevrovitenskap med fokus p? hjerneavbildningsmetodikk. P?g?ende forskningsprosjekter omfatter studier av basale mekanismer i oppfattelse av rytme og tid, oppmerksomhet og hukommelse. Til ? moderere samtalen har vi f?tt med oss Per Snaprud. Han er vitenskapsjournalist og f?r det hjerneforsker. Han arbeider i det Stockholm baserte magasinet 澳门葡京手机版app下载 og Framsteg og har tidligere v?rt virksom ved Dagens Nyheters og Sveriges Radios vitenskapsredaksjoner. Han er ogs? forfatter av boken ?Medvetandets ?terkomst, om hj?rnan, kroppen och universum?. Victoria Johnson er fiolinist, underviser ved Institutt for musikkvitenskap og deltar i ulike forskningsprosjekter ved UiO. Hun har hatt solokonserter blant annet under Festspillene i Bergen, Ultima, Borealisfestivalen og Soundwaves i London. Hennes lidenskap for samtidsmusikk har resultert i flere bestillingsverk og plateinnspillinger. I denne sammenhengen vil hun spille musikk som er direkte komponert til bildene og objektene i utstillingen.

• Jensenius, Alexander Refsum (2025). Kan musikk skape fred? [Internet]. Ungdomsavisa. doi: https:/ungdomsavisa.com/index.php?artID=763&navB=1. Show summary

  I kveld var en rekke personligheter fra musikkmilj?et samlet til debatt ved Universitetet i Oslo. Temaet var ?Kan musikk skape fred??. Blant deltakerne var Birgitte Grimstad og Lars Klevstrand , som har underholdt med musikk i flere ti?r. Debatten ble ledet av blant annet professor i musikkvitenskap ved UiO, Alexander Refsum Jensenius.

• Jensenius, Alexander Refsum; Sandvik, Kristin Bergtora; Grimstad, Birgitte; R?ysum, Andreas Hoem & Klevstrand, Lars (2025). Kan musikk skape fred? doi: https:/www.oslopeacedays.no/program/2025/fred-og-musikk. Show summary

  P? konsert f?ler vi samhold med fremmede, viser forskning. I et kort ?yeblikk samler musikken oss. Hvordan kan musikk ogs? samle oss i urolige tider? Flere artister jobber for fred, p? ulike m?ter. M?t noen av dem p? Scene Domus Bibliotheca! Hva er det med akkurat musikk som forener oss? Bli med p? musikksnakk med artistene Birgitte Grimstad, Lars Klevstrand og Andreas R?ysum. Du m?ter ogs? fredsforsker Kristin Bergtora Sandvik. Her vil musikkprofessor Alexander Refsum Jensenius lede samtalen med ulike sp?rsm?l knyttet til tematikken ¨C kanskje svarer de p? ditt sp?rsm?l ogs?? Samtalen er beregnet for et publikum uten faglig bakgrunn i temaet.

• Jensenius, Alexander Refsum (2025). Openness in the age of AI. doi: 10.5281/zenodo.17652120.
• Jensenius, Alexander Refsum (2025). Are we still needed? doi: https:/filmskolen.no/artikler/2025/ki-i-filmbransjen-2-0. Show summary

  Den kunstige intelligensens frammarsj fortsetter ? v?re den st?rste kulturelle og samfunnsmessige omveltningen siden den industrielle revolusjonen. Siden fjor?rets konferanse har det skjedd vanvittig mye, derfor inviterer vi igjen til en dag fylt med internasjonale n?kkelpersoner, banebrytende prosjekter og nye perspektiver p? hvordan KI endrer m?ten vi utvikler, produserer og opplever film.

• Jensenius, Alexander Refsum; Bjerkestrand, Kari Anne Vadstensvik; Johnson, Victoria Christine ?rang & Rao, Shabari (2025). Stillness ¨C Silence. doi: https:/www.hf.uio.no/imv/english/research/news-and-events/events/Research-Forum/2025/research-forum-stillness-and-silence.html. Show summary

  What can be learned by standing still in silence? Dancers typically move, and musicians move to produce sound. In this research forum, we explore the opposite: musicians and dancers who stand still in silence.

• Jensenius, Alexander Refsum (2025). Er gamle fioliner bedre enn nye? [Radio]. NRK P2. doi: https:/www.arj.no/no/2025/11/26/gamle-fioliner/.
• Jensenius, Alexander Refsum (2025). Musikk og kunstig intelligens. [TV]. TV2. doi: https:/play.tv2.no/nyheter/god-morgen-norge-y05mec7j?play=true.
• Jensenius, Alexander Refsum (2025). What is the role of AI in creative activities?
• Marin-Bucio, Diego (2025). Machinic Movement Matrix: A framework and tool for human-AI dance-creation. Show summary

  The Machinic Movement Matrix (MMM) is a conceptual framework for analyzing and designing human¨Cmachine creative interaction in dance. Developed through practice-led research combining dance anthropology, posthumanist theory, and AI design, the MMM offers a structured method for identifying how artificial systems participate in¡ªor fall short of¡ªgenuine creative collaboration. Rather than focusing on the aesthetic outcomes of human¨Cmachine interaction, the MMM examines the underlying creative roles, levels of interactivity, and power dynamics that shape these processes.

• Blenkmann, Alejandro Omar (2025). iElectrodes Toolbox: Fast, Robust, and Open-Source Localization of Intracranial Electrodes. doi: https:/cuttingeeg.org/practicalmeeg2025/bouquet/. Show summary

  Precise anatomical localization of intracranial electrodes is crucial for interpreting invasive recordings in clinical and cognitive neuroscience research. The open-source iElectrodes toolbox offers a fast, semi-automated, and robust solution for localizing subdural grids, depth electrodes, and strips from MRI and CT images, supporting automatic anatomical labeling. iElectrodes was initially introduced in Blenkmann et al. (2017), and has been updated with major methodological innovations in Blenkmann et al. (2024). To date, it has >2000 downloads. In this 90-minute session, I will first provide an introductory lecture on the core functionalities of iElectrodes, including image pre-processing steps, semi-automatic electrode localization, brain shift compensation, and standardized anatomical registration. We will cover the recent major upgrades to the toolbox: the GridFit algorithm for robust localization of SEEG and ECoG electrodes under challenging conditions (e.g., noise, overlaps, and high-density implants), and CEPA (Combined Electrode Projection Algorithm) for smooth compensation methods for grids, addressing brain deformations based on mechanical modeling principles. These developments significantly enhanced the robustness and precision of intracranial electrode localization. In the second part of the session, we will move into a hands-on tutorial, where participants will learn how to use the toolbox through practical exercises. Using real patient datasets (anonymized), we will cover: ? Preprocessing MRI and CT images. ? Semi-automatic detection and localization of electrode coordinates using clustering and GridFit algorithms. ? Brain shift correction using CEPA. ? Automatic anatomical labeling of electrodes. ? Generation of an iElectrodes localization project file. ? Exporting electrode coordinates into formats compatible with Fieldtrip, EEGLAB, and text reports. ? Integration with further analysis workflows. This session is intended for both clinical and cognitive neuroscience research users working with SEEG or ECoG. Attendees will leave with practical skills for reliable and reproducible electrode localization, ready to apply to their own datasets.

• Blenkmann, Alejandro Omar (2025). Auditory Prediction and Its Neural Correlates. doi: https:/csan2025.saneurociencias.org.ar/symposia/neurophysiological-bases-of-memory-consciousness-and-interoception-in-humans-from-the-neuron-to-neural-networks/. Show summary

  This panel presents research on the neural mechanisms underlying auditory prediction¡ªa fundamental process for the perception of sound, language, and music. Evidence is presented on how the brain anticipates and processes auditory stimuli through neural networks that integrate prior sensory information, thereby facilitating the interpretation of speech and complex musical structures. Using neurophysiological and neuroimaging studies, researchers have identified the neural correlates of auditory prediction in regions such as the auditory cortex and areas involved in memory and attention. Additionally, computational models are analyzed to explain how the brain dynamically adjusts its expectations in response to variations in auditory stimuli.

• Guo, Jinyue; T?rresen, Jim & Jensenius, Alexander Refsum (2025). Cross-modal Analysis of Spatial-Temporal Auditory Stimuli and Human Micromotion when Standing Still in Indoor Environments (poster). doi: 10.5281/zenodo.17502603.
• Duch, Michael Francis; Furunes, Alexander Eriksson; Jensenius, Alexander Refsum & Olsen, Cecilie Sachs (2025). Kunstnerisk forskning for en kompleks verden. doi: https:/akademietforyngreforskere.no/wp-content/uploads/2025/11/Jubileumsbok-digital-3.pdf. Show summary

  Kunstfagene spiller en viktig rolle i ? utvide m?ten vi jobber med og forst?r komplekse samfunnsproblemer. Likevel blir kunstfagene stadig oversett og nedprioritert i forskningspolitikken. Vi sp?r derfor: hva er, b?r og kan kunstens rolle v?re i det norske forskningslandskapet?

• Arnim, Hugh Alexander von; Christodoulou, Anna-Maria; Burnim, Kayla; Upham, Finn; Kelkar, Tejaswinee & Jensenius, Alexander Refsum (2025). LightHearted¡ªA Framework for Mapping ECG Signals to Light Parameters in Performing Arts.
• Lindblom, Diana Saplacan & Murashova, Natalia (2025). AI in Society: Virtual and Physical AI. doi: https:/www.uio.no/om/澳门葡京手机版app下载/skole/fagped-dag/program.html. Show summary

  This talk explores the evolving landscape of artificial intelligence in various societal contexts, focusing on the integration and implications of AI (virtual) tools such as e.g., ChatGPT, Microsoft Copilot, but also the use of "physical AI", such as in social robots. It showcases practical cases, showing some insights from our initial fieldwork applying the Ethical Risk Assessment of AI in practice (ENACT) in various private and public (learning) organizations, as well as some insights from our work within Human-Robot Interaction and social robots area in the Vulnerability in Robot Societies (VIROS), Predictive and Intuitive Robot Companion (PIRC) research projects, and our recently funded ROBOts as Welfare Technologies and Actors for ELderLy Care: A Nordic Model for Integration of Advanced Assistive Technologies (ROBOWELL) project.

• Laczko, Balint; Rognes, Marie Elisabeth & Jensenius, Alexander Refsum (2025). Poster for "Image Sonification as Unsupervised Domain Transfer". doi: 10.5281/zenodo.17513165. Show summary

  The process of image sonification maps visual features into perceived auditory features. Most established sonification methods rely on identifying salient visual features in the input data and then mapping their distribution to a proportional distribution of auditory features. However, this approach requires both domain expertise and manual feature engineering. Here, we propose a new method of image sonification, leveraging recent advances in representation learning and domain transfer. Our approach introduces a pair of variational auto-encoder models that learn disentangled latent representations of the images and sounds, respectively, and a separate network that maps between these representations. The resulting sonification system encodes images into the latent space and then decodes them as sounds. Both representations and their mapping are learned in an entirely unsupervised manner. When evaluating the system in an interactive real-time setting, we observed that the model successfully learned disentangled representations of image and sound factors in our synthetic datasets.

• Jensenius, Alexander Refsum (2025). Musikk og KI - Utfordringer og muligheter. Show summary

  Kunstig intelligens p?virker det meste om dagen ogs? musikklivet og musikkbransjen. Men hva er egentlig KI og hva er utfordringer og muligheter innenfor kunst og kultur? Presentasjonen diskuterer ulike pedagogiske tiln?rminger og gir eksempler p? hvordan det nye KI-senteret MishMash skal angripe problemstillingene.

• Wallace, Benedikte (2025). P?NSJ: Kunstig Intelligens i musikk. [Radio]. NRK.
• Wallace, Benedikte (2025). AI anno 2025: Dette m? du vite. doi: https:/try.no/tjenester/kommunikasjon-og-pr/arendalsuka-2025.
• T?rresen, Jim; Prestes, Edson; Caleb-Solly, Praminda; Weng, Yueh Hsuan & Watanabe, Shin (2025). CASE 2025 Workshop on Ethical Considerations in Robotics and Automation (WECRA). doi: https:/sites.google.com/view/robot-ethics-case2025-workshop.
• T?rresen, Jim (2025). Keynote: Techno-Ethical Considerations when Applying Machine Learning in Real-world Systems. doi: https:/www.icmlt.org/2025.html.
• T?rresen, Jim (2025). Invited talk: Intelligent Robotics in Healthcare.
• T?rresen, Jim (2025). Guest lecture: Intelligent Robotics in (Home) Healthcare.
• Lindblom, Diana Saplacan (2025). Overview of my research: background, results, experiences, publications and future directions.
• Jensenius, Alexander Refsum (2025). Technologies supporting research on music-related body motion. doi: https:/www.liser.lu/events/EXPAR2025-09-18. Show summary

  As researchers, we are increasingly using emerging technologies, such as multiple mobile eye tracking, virtual reality, and physiological indicators (e.g., heart rate and respiration) to study professionals¡¯ individual and collaborative work practices. In this workshop, we will demonstrate how these technologies can be provided to professionals in various fields (e.g., education, healthcare, business, engineering, the arts) as a resource for self-reflection, enabling them to study and improve their own practices. The goal of this workshop is to introduce and facilitate participants to experience novel approaches that use these emerging technologies and tools to help practitioners study their own skills and understand their learning processes. We will also show how focus groups and stimulated recall interviews can encourage and guide professionals to discover ways to incorporate these new technologies into their practice as resources for reflection and growth. The workshop¡¯s theme is educational practice and research, with a focus on showing how we can offer teachers theoretically driven and empirically validated methodologies for witnessing the micro-processes of collaborative mathematics learning. We will show and discuss how multiple mobile eye-tracking and virtual reality can be used in educational practice and for teacher training and professional development. This approach and these emerging technologies are applicable not only in education, but also in all other fields of research that aim to study individual and collective practices, as well as professional learning, during the process of acquiring new skills or improving existing ones.

• Lindblom, Diana Saplacan (2025). "The Wooden Gripper Was Warmer and Made the Robot Less Threatening"¨C a Study on Perceived Safety Based on Robot Gripper¡¯s Visual and Tactile Properties.
• Jensenius, Alexander Refsum (2025). Video Visualization - Learn to use MG Toolbox. doi: https:/www.liser.lu/events/EXPAR2025-09-19. Show summary

  This workshop is targeted at students and researchers working with video recordings You will learn to use MG Toolbox, a Python package with numerous tools for visualizing and analyzing video files. This includes visualization techniques such as motion videos, motion history images, and motiongrams; techniques that, in different ways, allow for looking at video recordings from different temporal and spatial perspectives. It also includes some basic computer vision analysis, such as extracting quantity and centroid of motion, and using such features in analysis. MG Toolbox for Python is a collection of high-level modules that generate all of the above-mentioned visualizations.The toolbox is relevant for everyone working with video recordings of humans, such as in linguistics, psychology, medicine, human-computer interaction, and educational sciences.

• Jensenius, Alexander Refsum (2025). RITMO, MishMash and the fourMs Lab. Show summary

  A presentation for the Ukrainian Research Council.

• Jensenius, Alexander Refsum (2025). Kreativitet og KI. doi: https:/www.arj.no/no/2025/08/28/ki-filmbransjen/. Show summary

  Jeg vil presentere MishMash Senter for KI og kreativitet samt gi en mini-introduksjon til KI generelt.

• Jensenius, Alexander Refsum (2025). Noen resultater fra tre ?r med forsknings澳门葡京手机版app下载 med tre orkestre. Show summary

  Denne presentasjonen oppsummerer resultater fra forskningsstudier p? og med tre skandinaviske symfoniorkestre. I alle tilfeller har b?de kvalitative og kvantitative data blitt samlet inn p? pr?ver og konserter i konsertsaler.

• Lartillot, Olivier (2025). Computational music analysis.
• Wosch, Thomas; Vobig, Bastian & Lartillot, Olivier (2025). Human Interaction assessment and Generative segmentation in Health & Music. doi: https:/www.youtube.com/watch?v=I4jaZIzX0wg. Show summary

  Improvisation in music therapy has been shown to be an effective technique for engaging clients in emotionally rooted (inter)action to treat affective disorders such as major depression (Aalbers et al., 2017; Erkkil? et al., 2011). During improvisation, however, a variety of musical information is exchanged, resulting in a highly complex musical and interpersonal situation. While traditional models of music therapy analysis emphasise aural analysis and assessment of single sessions (Bruscia, 1987), more recent and elaborated methods, such as microanalysis, focus on the detailed development of improvisation sessions (Wosch, 2021; Wosch & Erkkil?, 2016), which comes at the cost of a more time-consuming application process. Digital processing, as in music information retrieval and machine learning, seems promising to accelerate the analysis process, but requires considerable preliminary work in data preprocessing and formalisation of the high-level concepts used in music therapy to develop a suitable dataset for model training. Moreover, additional benefits of digital processing comprehend a more detailed and precise analysis of musical data.

• Sudo, Marina; Ziegler, Michelle; Akkermann, Miriam & Lartillot, Olivier (2025). Towards Collaborative Analysis: Kaija Saariaho¡¯s Io (1986¨C87).
• Sudo, Marina & Lartillot, Olivier (2025). Contemporary Music Analysis and Auditory Memory: The Use of Computational Tools as an Aid for Listening. doi: https:/fabricadesites.fcsh.unl.pt/ncmm/ncmm-2025-program/. Show summary

  Music analysis involves categorising and interpreting sonic elements to uncover the structure and meaning of a work. In contemporary music studies, analysts often face methodological challenges in this process, especially when dealing with works that contain high degrees of complexity and ambiguity in terms of timbre, texture and temporal structure. This paper proposes a methodological model for analysing spatiotemporal complexities commonly observed in contemporary repertoires, utilising computational tools to enhance auditory memory and expand interpretative possibilities. Auditory memory plays a pivotal role in aural analysis, an approach that serves as a valuable alternative or complement to traditional score-based analysis. Rooted in Pierre Schaeffer¡¯s typomorphology of objets sonores and the work of other analysts in electroacoustic music studies, the general principles of aural analysis can be outlined in a three-step process: 1) attentive listening to the acoustic properties of sounds, 2) describing and categorising their sonic variations, and 3) assessing their functions within a large-scale formal structure. Computational sound visualisation tools are frequently employed in this process to assist in transcribing and retaining musical events that are either absent from the score or difficult to interpret aurally due to textural complexities and/or timbral elusiveness. Despite their increasing use, however, the full potential of these tools remains largely unexplored in contemporary music studies. By digitally decomposing the transformation processes of ambiguous musical flows and supporting the organisation and structuring of auditory memory, computational analysis of audio data and various visualisation methods can deepen our understanding of both local sonic morphology and large-scale formal trajectory. In line with these considerations, the paper investigates how specialised computer interfaces can facilitate music analytical processes. Two research questions guide this investigation: 1) How can we analyse a stream of sonic textures; and 2) How can we outline the formal structure of a work that embraces extremes of sonic energy and polyrhythmic intricacy? To explore these questions, we have developed muScope, a new computer program that enables users to browse within high-resolution sonograms in tandem with a range of graphical representations capturing audio, timbral, rhythmic and structural descriptions. The analysis of spectral ¡°fluctuations¡± allows for the identification of rapid pulsations at the middle ground between rhythm and timbre. Self-similarity matrix representations can serve as a tool for outlining the structural division of the audio data based on various sonic attributes. We integrate these visual representations into an analytical workflow designed to support the construction of a composition¡¯s formal structure. Our methods are demonstrated through an analysis of excerpts from Kaija Saariaho¡¯s Io for large ensemble and electronics (1986¨C87) and Rapha?l Cendo¡¯s Corps for piano and ensemble (2015). This integrated analytical approach offers new insights into the interplay between musical perception, memory and analytical interpretation using digital tools.

• Christodoulou, Anna-Maria; Glette, Kyrre; Lartillot, Olivier & Jensenius, Alexander Refsum (2025). MusiQAl: Music Question Answering through Audio-Video fusion. doi: https:/ismir2025.ismir.net/program-detailed-schedule.
• Christodoulou, Anna-Maria (2025). The Benefits of Multimodal MIR in Computational Analysis of Music Therapy Improvisation. doi: https:/ifas.thws.de/fileadmin/user_upload/250917_HIGH-M_Symposium_Programme_updated.pdf.
• Lartillot, Olivier (2025). Computational Music Analysis Applied to Music Therapy Improvisation. doi: https:/ifas.thws.de/fileadmin/user_upload/250917_HIGH-M_Symposium_Programme_updated.pdf.
• Lartillot, Olivier (2025). Computational Music Analysis: Toolbox and application to music psychology & therapy.
• Christodoulou, Anna-Maria & Lartillot, Olivier (2025). A Multimodal Dataset of Greek Folk Music. doi: https:/dlfm.web.ox.ac.uk/2025-programme.
• Laczko, Balint (2025). Presentation of PhD project: Perceptually Aligned Deep Image Sonification. doi: https:/comma.eecs.qmul.ac.uk/creative-audio-synthesis-and-interfaces-workshop/. Show summary

  Imaging technology has dramatically expanded our understanding of biological systems. This overabundance of images has come with unique problems, such as visual overload, which can potentially obscure data relationships and induce eye fatigue or divert vision from important tasks. Image sonification offers potential solutions to these problems by channeling data into the auditory domain, leveraging our natural pattern recognition skills through hearing. In my PhD project I have been exploring the potential of Machine Learning in solving the two fundamental challenges of image sonification: the perceptually aligned representations of images and sounds, and the cross-modal mapping between them. In this talk I will present my journey through timbre spaces, Differentiable DSP, and cross-modal domain transfer in search of new methods for image sonification.

• Laczko, Balint (2025). C2HO Workshop on Image Sonification with Pixasonics. doi: https:/www.hf.uio.no/imv/english/research/networks/creative-computing-hub-oslo/pages/c2ho-workshops/image-sonification-workshop.html. Show summary

  How can we turn images into sound? And what can we learn about those images by listening? Why listen instead of looking? These are some questions B¨¢lint Laczk¨®'s research on image sonification aims to find answers to. B¨¢lint has been researching applications of image sonification in biology and medical research and started working on a toolbox for Python, which he will be presenting during this workshop. The toolbox originates from bio-medical research, but it can also be used creatively for sound design. Bring your laptop with Python (or Anaconda) installed, and some images you'd like to squeeze some sounds out of!

• Laczko, Balint (2025). Insight Through Sound: Image Sonification in Biology Research. doi: https:/www.uio.no/forskning/satsinger/livsvitenskap/livsvitenskapskonferansen/2025/sidearrangementer/workshop/insight-through-sound-image-sonification-in-biolog.html.
• Laczko, Balint (2025). Oral presentation on ICAD 2025 about Pixasonics: An Image Sonification Toolbox for Python. Show summary

  Pixasonics is a new Python library for interactive image analysis and exploration through image sonification. It uses real-time audio and visualization to help uncover patterns in image data. With Pixasonics, users can launch one or more small web applications (running in a Jupyter Notebook), probe image data using various feature extraction methods, and map those feature vectors to synthesis parameters. The target users are researchers interested in exploring image and volumetric data and creative users who want an intuitive tool for experimental sound design. Pixasonics¡¯ design aims to strike a balance between an easy-to-use web application with minimal boilerplate code necessary and a library that can be integrated into more advanced workflows. Real-time exploration is at the heart, but it can also be used to script non-real-time sonifications of large datasets. This paper presents Pixasonics, its structure, interface, and advanced features, and discusses preliminary feedback from biology researchers and music technologists.

• H¨¹benette, Saira Jameela (2025). Spatial and temporal processing of auditory stimuli. Show summary

  Tracking a moving sound in space requires continuous prediction of its next location. This implies that we must combine information about the time and location of the sound, to accurately predict its trajectory. Using EEG, auditory motion processing has previously been found in frontal, central, and parietal areas of the brain. Prior studies have suggested that space and time for auditory stimuli are processed separately in the brain. Despite the seemingly distinct processing pathways of spatial and temporal sound information, they must integrate at some stage to enable the prediction of movement. It remains unknown if these processes are initially working in parallel and then converging at some point, or if there are several instances of convergence throughout. The goal of this study is to delineate the neural correlates of spatial and temporal processing of moving sounds, and to assess how and when they converge to aid in the tracking of the sound movement.

• Oddekalv, Kjell Andreas; Bj?rkheim, Terje; Ugstad, Magnus; Walderhaug, Bendik; Hole, Erik & S?rli, Anders Ruud (2025). Sinsenfist p? ROSA-konferansen 2025.
• H¨¹benette, Saira Jameela; Solbakk, Anne-Kristin; Danielsen, Anne; Endestad, Tor & Blenkmann, Alejandro Omar (2025). Hearing in motion: Spatial and temporal processing of auditory stimuli. doi: https:/www.dropbox.com/scl/fi/ijya3kj1w1dl2e7vyjo5y/ICAC25-poster.pdf?rlkey=2516eohjz9vyx3g7qj7rjsedc&st=wm335i35&dl=0. Show summary

  Tracking a moving sound in space requires continuous prediction of its next location. This implies that we must combine information about the time and location of the sound, to accurately predict its trajectory. Using EEG, auditory motion processing has previously been found in frontal, central, and parietal areas of the brain. Prior studies have suggested that space and time for auditory stimuli are processed separately in the brain. Despite the seemingly distinct processing pathways of spatial and temporal sound information, they must integrate at some stage to enable the prediction of movement. It remains unknown if these processes are initially working in parallel and then converging at some point, or if there are several instances of convergence throughout. The goal of this study was to delineate the neural correlates of spatial and temporal processing of moving sounds, and to assess how and when they converge to aid in the tracking of the sound movement.

• Oddekalv, Kjell Andreas; Walderhaug, Bendik; Bj?rkheim, Terje; Ugstad, Magnus; S?rli, Anders Ruud & Hole, Erik (2025). Sinsenfist p? Bilkollektivets 30-?rs-jubileum.
• Oddekalv, Kjell Andreas; Bj?rkheim, Terje; Hole, Erik; Walderhaug, Bendik; S?rli, Anders Ruud & Ugstad, Magnus (2025). Sinsenfist p? Audunbakken 2025.
• Oddekalv, Kjell Andreas; Walderhaug, Bendik; Hole, Erik; Bj?rkheim, Terje; Ugstad, Magnus & S?rli, Anders Ruud (2025). Sinsenfist p? Festival Bohem 2025.
• Oddekalv, Kjell Andreas (2025). Manifesting the Rapping Chimera. Show summary

  In Albert Bregman¡¯s Auditory Scene Analysis, he describes ¡°chimeric percepts¡± ¨C auditory streams we hear as ¡°one¡±, which in reality originates from multiple different sound sources. In music, however, this apparent failure of our perceptual system is treated as a feature rather than a bug. In hip-hop music, there has been a tradition of emphasising key words and syllables either live ¨C via ¡°hypepersons¡± doubling the lead vocalist, or in the studio ¨C by stacking vocal tracks in various ways. These doublings ¨C the chimericity, or degree to which a stream is perceived as one or many ¨C can be transparent or opaque to the listener, and is yet another manipulable parameter for aesthetic effects in the modern producer¡¯s arsenal. In this presentation, different techniques and approaches of summoning and taming the rapping chimera will be showcased through an original track produced and recorded especially for AR@K. What is the truth of the chimera? Is it one beast or an amalgamation of multiple? Or is it really both, and is that the creature¡¯s very reason to exist?

• Oddekalv, Kjell Andreas (2025). Chimericity in the Orchestration of Rap Vocals. Show summary

  In hip-hop music, the layering and sequencing of vocal tracks is an integral part of the compositional process. Ranging from simple ¡°backtracks¡± adding subtle emphasis to key words and syllables to intricate interplay between emcees and/or effects-processed supernatural simulacra ¨C these techniques can be understood, differentiated between and recreated using the conceptual framework of chimericity. Albert Bregman describes chimeric percepts as an error in our auditory scene analysis ¨C a failing to identify that a sound originates with multiple sources rather than a singular one. He also notes that in music such chimeric passages are considered a feature rather than a bug. Nowhere is this as evident as in hip-hop music. This paper will introduce the concept of chimericity. How it can be more or less transparent or opaque. How it can be layered and/or sequential (vertical/horizontal). How it can be influenced via mode and voice. How it relates to central aspects of Black American aesthetics such as Tricia Rose¡¯s (via Artur Jafa) concept of flow, layering and rupture(s) in line, Olly Wilson¡¯s heterogeneous sound ideal and more broadly to Signifyin(g) as theorized by Henry Louis Gates, Jr. Eileen Southern urges us to perform and create Black music to understand and analyse it. As analysts we should take inspiration from practitioners¡¯ workflows. Using audio waveforms across multiple tracks in a DAW arrangement/timeline view is one intuitive visualization of chimericity (among others) this paper will showcase.

• Vuoskoski, Jonna Katariina; Perik, Lieke; Foldal, Christian Dyhre & Stupacher, Jan (2025). Rhythmic complexity and trait empathy modulate internal motor simulation in response to music.
• Carvalho, Vin¨ªcius Rezende (2025). Speech decoding with DDA. doi: https:/snl.salk.edu/~claudia/DDALAB/workshop.html.
• Carvalho, Vin¨ªcius Rezende; Collavini, Santiago; Nasimbera, Alejandro; Kochen, Silvia; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2025). Single-Neuron Evidence for Attention and Prediction Error to Nested Auditory Regularities in the Human Auditory Cortex. doi: https:/2025.ccneuro.org/abstract_pdf/Carvalho_2025_Single-Neuron_Evidence_Attention_Prediction_Error_.pdf.
• D'Amario, Sara & Jensenius, Alexander Refsum (2025). Workshop on Women Musicians Wellbeing. doi: https:/www.uio.no/ritmo/english/news-and-events/events/workshops/2025/women-wellbeing/.
• D'Amario, Sara; L?ve, Andreas; Foldal, Maja Dyhre & Jensenius, Alexander Refsum (2025). Functional Near Infrared Spectroscopy (fNIRS) Responses of Professional Violinists during Orchestra Performances.
• D'Amario, Sara (2025). Well-being Experiences of Professional Women Musicians during Live Concert Performances. Show summary

• Rolfsjord, Sigmund Johannes Ljosvoll; Arnim, Hugh Alexander von; Fatima, Safia & Baselizadeh, Adel (2025). Multimodal Transfer Learning for Privacy in Human Activity Recognition.
• Danielsen, Anne (2025). The TIME project. doi: https:/www.uio.no/ritmo/english/news-and-events/events/workshops/2025/paradata/.
• Danielsen, Anne (2025). Intervju om "Take on Me". [Radio]. NRK-P2.
• Blenkmann, Alejandro Omar (2025). The role of the Orbitoforontal cortex in building predictions and detecting violations.
• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Volehaugen, Vegard Akselsson; Carvalho, Vinicius Rezende; Kochen, Silvia & Endestad, Tor [Show all 10 contributors for this article] (2025). Intracranial high-frequency activity and oscillatory cortical dynamics of auditory prediction error propagation in humans. doi: https:/www.maastrichtuniversity.nl/file/icac2025abstracts-2025-09-11pdf.
• Danielsen, Anne; Langer?d, Martin Torvik & London, Justin (2025). Where is the Beat in that Complex Note? Effects of Instrument Asynchrony and Attack on the Perceived Timing of Compound Musical Sounds. doi: https:/www.jyu.fi/en/file/rppw20programmeandabstracts-5pdf. Show summary

  In musical ensembles most notes/chords are sounded by more than one instrument at the same time, and we hear them as simultaneous, even when their onsets are not precisely simultaneous. Here we obtain estimates for the perceptual centers of such compound sounds when there are microtiming asynchronies between the instruments. In Exp1 three combinations of fast-attack instruments (acoustic kick drum/synthetic kick, kick/hi-hat, kick/bass) were presented with five levels of instrument asynchrony relative to the kick (-40, -20, 0, 20, and 40 ms); the ISI was 600ms (100 bpm) and the task was to align a click with the compound sound. An RMANOVA shows main effects (p<.001) of Asynchrony and Instrument combination, and a U-shaped relationship between Asynchrony and P-center, such that asynchrony in both directions relative to the kick (kick early and kick late) delays the P-center for the compound sound. In Exp2 we used combinations of fast and slow attack instruments. Ten combinations (three fast-attack¨Cfast-attack, three slow-attack¨Cslow-attack, four fast-attack¨Cslow-attack) were presented with seven levels of instrument asynchrony: -80, -40, -20, 0, 20, 40, 80. RMANOVAs of the results revealed different relationships between asynchrony and P-center (p<.001): Fast/fast attack combinations replicated the U-shape of experiment 1. In fast/slow combinations, the P-center followed the fast-attack instrument linearly, and in the slow/slow combinations, P-centers followed the higher-pitched instrument. P- centers of compound sounds depend on both the asynchrony between the instruments and the shape of their attacks. Combinations of fast-attack instruments with extreme asynchrony produce bimodal distributions, indicating perceptual segregation of the two sounds. The findings align with studies showing that sharp sounds are used as landmarks for segmentation and timing in speech and music.

• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Volehaugen, Vegard Akselsson; Carvalho, Vinicius Rezende; Kochen, Silvia & Endestad, Tor [Show all 8 contributors for this article] (2025). Spatiotemporal dynamics of auditory prediction error propagation via intracranial EEG in humans. doi: https:/www.frm2025oslo.no/s/FRM2025_AbstractBook.pdf.
• London, Justin; Paulsrud, Thea S?rli & Danielsen, Anne (2025). Musical expertise affects the rhythmic perception of sung and spoken speech syllables: The effect of top-down motor representations. doi: https:/www.jyu.fi/en/file/rppw20programmeandabstracts-5pdf. Show summary

  Previous research (Danielsen et al. 2022) has shown that musical expertise affects the perception of the temporal location (i.e., P-center) of an instrumental sound. Here we extend this research to the context of vocal music. In two experiments expert singers in jazz and classical genres were presented with a range of stimuli, including neutral Stimuli (e.g., noise bursts, clicks), vowel sounds sung by jazz and classical singers, and spoken versions of the vowel sounds. As with our previous study, neutral stimuli produce largely the same responses in both participant groups, while a linear mixed model showed that jazz participants placed their p-centers earlier (22 ms; p=.044) and with lower variability (21 ms; p = .025) than classical participants. Contra our hypothesis, the between-group differences for P-center location and variability persisted in the context of spoken sounds. Why should this be so? Expert musicians develop highly specific motor representations of their own actions and use them when singing and playing. For singers, these these models overlap with speech production more generally. This could explain the carry-over to speech stimuli. Likewise, the vocal stimuli presented our participants with not only acoustic cues for the P-center location of the sounds themselves, but also cues for synchronizing individual actions in performance (coordinating the behaviors that produce the sounds with others). This indicates that the vestiges of joint action that remained in our experimental context were enough to engage their top-down sensorimotor models, as would be used in an actual singing or speaking context.

• Danielsen, Anne (2025). Rytme og kognisjon - sansning, struktur og samspill.
• Polak, Rainer (2025). The musical beat is multimodal.
• Polak, Rainer (2025). Music is Multimodal: A Multi-Data Corpus of Music and Dance Derformance.
• Barbero, Francesca; Lenc, Tomas & Polak, Rainer (2025). Rhythm categorization is present in human newborns and further shaped across the lifespan.
• Lenc, Tomas; Barbero, Francesca & Polak, Rainer (2025). Revealing rhythm categorization in human brain activity.
• Gu¨¦rin, S¨¦gol¨¨ne; Coulon, Emmanuel; Lenc, Tomas; Polak, Rainer; Keller, Peter & Nozaradan, Sylvie (2025). Culture-Driven Plasticity and Imprints of Body-Movement Pace on Musical Rhythm Processing.
• Polak, Rainer; Dutta, Sagar; Psaroudakis, Georgios; London, Justin & Jacoby, Nori (2025). The musical beat is multimodal.
• Polak, Rainer; Dutta, Sagar; Psaroudakis, Giorgos; London, Justin & Jacoby, Nori (2025). Music is multimodal: introducing a multi-data corpus of music and dance performance.
• Bacot, Baptiste (2025). Mr. Bill: a case study of the entangled platforms of electronic music production. Show summary

  Mr. Bill is a professional producer and educator who has been publishing content for over fifteen years. As an Ableton Live expert user, he regularly livestreams his music production sessions on Twitch. This content¡ªthe video files, the Ableton Live sets, and other resources as well¡ªis available on his website (mrbillstunes.com). Additionally, Mr. Bill is the founder of Billegal Beats, a music and sample pack label that publishes material on music streaming platforms and Splice, respectively. These activities, along with music releases, touring, merchandising sales, are promoted and discussed on a dedicated Discord server. Mr. Bill is therefore serves as a perfect case for questioning the entangled platforms that support electronic music production on various levels. By exploring the material Mr. Bill has generated over the last decade, this paper addresses two questions regarding research methodology and musical creativity. Firstly, it examines the issues surrounding the value of music platformization data: how can the wealth of digital information generated be leveraged for empirical musicology and popular music studies? Secondly, it engages with the impacts of platformization on musical creativity: whereas music production has always been a covert activity, it is now conducted in semi-public and interactive formats where viewers can watch and comment. What is the weight of this new setting on the creativity of the producers and eventually, on the final product? Concluding remarks will highlight the layered and interdependent structure of platforms as key factor for building a successful career, while also reassessing the so-called ¡°democratization¡± that companies claim to bring through their digital products.

• Bacot, Baptiste (2025). Sampling and resampling in Bass music. A musicological perspective from the DAW. Show summary

  This presentation explores sampling practices in EDM production. Sampling involves extracting audio fragments from preexisting records and using them in new musical contexts. Though rooted in post-WW2 avant-garde music, sampling is now ubiquitous across numerous musical genres. Despite its longstanding use, it is most often examined from a legal and copyright perspective (Demers 2006; Br?vig 2023), whereas musicological aspects¡ªmore complex than they appear at first glance¡ªare often overlooked. Although detailed accounts of sampling are scarce, they do exist (Butler 2014; D¨¦on 2020; Harkins 2020) and encourage conceptualization at the intersection of creativity and technology. Following this route, and leveraging Ratcliffe¡¯s (2014) typology of sampled material within EDM, as well as drawing inspiration from sketch studies (Sallis 2015), this paper examines a collection of Ableton Live projects (.als files) and video live streams by senior producer, DJ, and educator Mr. Bill. Analyzing this material reveals the sampling stages clearly, along with the digital processing that follows the import of sounds into the project. This investigation highlights various sampling techniques, particularly resampling, which involves sampling sounds from within the DAW. This self-sampling approach allows producers to create new sounds from existing materials within the current project through the signal routing capabilities of the software. Consequently, sampling becomes an internal process for generating new sonic material without needing external sounds. This study contributes to a better understanding of the technological practices in hyper-contemporary popular music by shedding light on the micro-level implications of recording as a technology.

• Marin-Bucio, Diego (2025). Matriz de Movimiento Maqu¨ªnico (MMM): Una herramienta conceptual sobre la creaci¨®n de danza humano-m¨¢quina. doi: https:/masters.filescat.uab.cat/muet/classe-magistral-amb-diego-marin-bucio/. Show summary

  This lecture introduces a conceptual framework for mapping the ontological roles of technology in choreographic creation. Drawing on case studies of AI-integrated works, it examines human¨Cmachine interaction and the redistribution of agency across dancers, choreographers, and computational systems. The resulting framework offers a practical tool for distinguishing when AI functions as an instrument and when it participates as an active co-creator in dance.

• Marin-Bucio, Diego (2025). Co-creation of rhythm in Djembe Music-Dance. Show summary

  This talk examines the intricate and reciprocal relationship between music and dance in the context of Djembe rhythms. At the heart of these celebrations lies a unique interplay where rhythm serves as both a foundation and a catalyst for collective expression. Alongside Djembe playing, dancers and musicians engage in a dynamic process of mutual influence, creating a multimodal dialogue that evolves in real time. The discussion explored how rhythm emerges, not as a static entity, but as a shared negotiation where movement and sound coalesce to generate meaning and aesthetic congruence. Central to this process is the interplay between music and dance through structured improvisational elements, which provide a double-encoded catalyst that works as a framework and as a creative stimulus. Through video recordings and a comparative analysis of Djembe music and dance structures, I illustrate how this rhythmic catalyst takes shape through elastic sound and movement phrases that influence the decision-making of both, dancers and musicians. This study reveals that Djembe's rhythms transcend unimodal agency to become a collective/multimodal phenomenon. The insights gained underscore the transformative power of rhythm in co-creative processes, offering remarkable perspectives on performance, dialogue, and the interplay between sound and movement.

• Arnim, Hugh Alexander von; Erdem, Cagri; C?t¨¦-Allard, Ulysse Teller Masao & Jensenius, Alexander Refsum (2025). A Sensor is not a Sensor: Diffracting the Preservation of Sonic Microinteraction with the SiFiBand.
• C?mara, Guilherme Schmidt (2025). Just Noticeable Difference Thresholds of Musical Microrhythm (Asynchrony and Non-isochrony) in Multi-Instrumental Groove-based Performance. Show summary

  Musicians can convey different ¡¯timing feels¡¯ in performance by manipulating asynchronies between instrument onsets (¡¯behind¡¯/¡¯ahead¡¯/¡¯on-beat¡¯) as well as the degree of non-isochrony within metrical subdivisions (¡¯straight¡¯/¡¯swung¡¯). The extent to which we can perceive such microtiming nuances has only yet been examined in non-/quasirhythmic contexts involving monotonic and single-layered stimuli, with mixed results regarding effect of musicianship. Studies have also found that pupil size increases linearly with asynchrony magnitude, but not yet examined non-isochrony. We measured the just noticeable difference (JND) thresholds of asynchrony (Exp. 1) and non-isochrony (Exp. 2) in a naturalistic, multi-layered groove (funk pattern, IOI 143ms) with 5 instruments (guitar/bass/kick/snare/hi-hat). Using a 1IFC staircase and global displacements of individual instrument layers (asynchrony: 1-100ms [early/late], non-isochrony: +1-71.5ms [late]), we tasked participants (N=64; musicians N=32; non-musicians N=32) to determine whether instruments were playing; "together" with or "before/after" other instruments (Exp. 1); and with "straight/even" or "swung/uneven" rhythm (Exp. 2). Pupil response was also measured. As expected, JND thresholds were higher than reported in previous literature (+4%/+2% of IOI for asynchrony and non-isochrony, respectively) likely due to greater attentional ¡¯noise¡¯ from additional simultaneously playing instruments, and lower for for musicians (14%/16%) than for non-musicians (22%/24%) due to greater training in the perception/ production of musical microrhythm. For the first time, we also demonstrate an effect of both Instrument and Timing displacement, where onset displacements were harder to detect: in string (22%/24%) rather than drum (15%/18%) instruments - likely due to perceptually ¡¯fuzzier¡¯ acoustic attack profiles; and in late (20%) rather than early (16%) displacements - likely due to forward acoustic masking effects. We also found a linear relationship between pupil size and both asynchrony and non-isochrony, further indicating that the pupil indexes mental effort in auditory processing of microrhythm more generally.

• Jensenius, Alexander Refsum (2025). MishMash, musikk og kunstig intelligens.
• Zelechowska, Agata (2025). Riktig musikk til trening ?ker prestasjonene betydelig. [Internet]. Nettavisen. Show summary

  Du blir beviselig raskere og bedre av en god spilleliste til trening, if?lge forskere. Velger du riktig er det faktisk umulig ? st? stille.

• Jensenius, Alexander Refsum (2025). What happens in the body when you stand still? Show summary

  Professor Alexander Refsum Jensenius will talk about his decade-long exploration of human micromotion. Motion data from the 365 standstill sessions he carried out during 2023 reveals lots of biomechanical noise, but also some interesting signals.

• Monstad, Lars L?berg (2025). Bandet har millioner av avspillinger p? Spotify uten ? eksistere: ¨C Problematisk. [Internet]. NRK. Show summary

  Kunstig intelligens vil prege musikkproduksjon fremover, tror musikkbransjen. ¨C Det f?les meningsl?st ? lage musikk manuelt, sier musiker i Brenn.

• Bishop, Laura (2025). Individuality and collectivity in professional orchestra string sections: Gauging the strength of coordination in body motion.
• Miles, Oliver; Hazzard, Adrian; Moroz, Solomiya; Bishop, Laura & Vear, Craig (2025). Meaningful interactions in human-AI musicking.
• Bishop, Laura (2025). Bodies in Concert: Assessing group coordination in live concert settings.
• Carvalho, Vinicius Rezende; Collavini, Santiago; Kochen, Silvia; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2025). Amygdala Responses to Auditory Prediction Violations: Evidence from Human Single-Neuron Recordings. doi: https:/static1.squarespace.com/static/66795375ff6aa75dff1c9eac/t/685e37792a21147062408469/1751005079975/FRM2025_AbstractBook.pdf.
• Jensenius, Alexander Refsum (2025). CoARA principles in practice. Insights from a crossdisciplinary Centre of Excellence. Show summary

  The presentation discusses the practical application of the NOR-CAM framework and CoARA principles at RITMO, a cross-disciplinary research centre. It highlights the challenges and strategies involved in promoting comprehensive and transparent research assessment, especially in interdisciplinary settings where values and evaluation criteria differ across fields. The author emphasizes the importance of redefining openness in research, professionalizing hiring committees, implementing structured career development programs, and fostering a culture of sharing and caring. These efforts aim to create a more equitable, supportive, and effective academic environment that values diverse contributions and supports researchers' well-being.

• Olsen, Cecilie Sachs; Jensenius, Alexander Refsum & Duch, Michael Francis (2025). Kunstnerisk forskning for en kompleks verden.
• Jensenius, Alexander Refsum (2025). 澳门葡京手机版app下载sfronten - Mensblod mot Alzheimers. [Radio]. NRK P2 Abels t?rn. Show summary

  Kan personlighetstrekket avgj?re om du liker ? danse?

• Riaz, Maham (2025). Where is That Bird? The Impact of Artificial Birdsong in Public Indoor Environments. Show summary

  This paper explores the effects of nature sounds, specifically bird sounds, on human experience and behavior in indoor public environments. We report on an intervention study where we introduced an interactive sound device to alter the soundscape. Phenomenological observations and a survey showed that participants noticed and engaged with the bird sounds primarily through causal listening; that is, they attempted to identify the sound source. Participants generally responded positively to the bird sounds, appreciating the calmness and surprise it brought to the environment. The analyses revealed that relative loudness was a key factor influencing the experience. A too-high sound level may feel unpleasant, while a too-low sound level makes it unnoticeable due to background noise. These findings highlight the importance of automatic level adjustments and considering acoustic conditions in soundscape interventions. Our study contributes to a broader discourse on sound perception, human interaction with sonic spaces, and the potential of auditory design in public indoor environments.

• Riaz, Maham (2025). VentHackz: Exploring the Musicality of Ventilation Systems. Show summary

  Ventilation systems can be seen as huge examples of interfaces for musical expression, with the potential of merging sound, space, and human interaction. This paper explores conceptual similarities between ventilation systems and wind instruments and explores approaches to "hacking" ventilation systems with components that produce and modify sound. These systems enable the creation of unique sonic and visual experiences by manipulating airflow and making mechanical adjustments. Users can treat ventilation systems as musical interfaces by altering shape, material, and texture or augmenting vents. We call for heightened attention to the sound-making properties of ventilation systems and call for action (#VentHackz) to playfully improve the soundscapes of our indoor environments.

• Sveen, Henrik; Bishop, Laura & Jensenius, Alexander Refsum (2025). Cyclic Patterns and Spatial Orientations in Artificial Impulsive Autonomous Sensory Meridian Response (ASMR) Sounds. Show summary

  Autonomous Sensory Meridian Response (ASMR) is a tingling sensation in the neck and spine often triggered by specific sounds. This paper reports a study on the impact of different cyclic patterns and spatial orientations¡ªdefined here as the perceived directionality and motion of sound sources in a three-dimensional auditory space¡ªon inducing ASMR experiences. The results demonstrate that both the type of cyclic pattern and the spatial orientation significantly influence the intensity and nature of ASMR experiences. Furthermore, the research explores synthesizing ASMR-inducing sounds while preserving key audio characteristics from acoustically recorded ASMR content. Through survey data analysis and regression modeling, distinct patterns emerge regarding the relationship between personality traits and ASMR experience. The findings contribute to a deeper understanding of ASMR as a sensory phenomenon and provide insights into the potential applications of artificially generated ASMR stimuli. Additionally, the research sheds light on the role of spatiality in ASMR experiences and the synthesis of ASMR-inducing sounds for future studies and practical applications

• Jensenius, Alexander Refsum (2025). What happens in the body when you stand still? Show summary

  Professor Alexander Refsum Jensenius will talk about his decade-long exploration of human micromotion. Motion data from the 365 standstill sessions he carried out during 2023 reveals lots of biomechanical noise, but also some interesting signals.

• Jensenius, Alexander Refsum (2025). KI og musikkens fremtid. Show summary

  Alexander Refsum Jensenius leder RITMO, Senter for tverrfaglig forskning p? rytme, tid og bevegelse, med 60 ansatte. Han leter for tiden systematisk etter mulighetene og perspektivene KI kommer med. KI er en disruptiv teknologi som griper inn i etablerte n?ringsmodeller. Hvor er vi p? vei? Mange av perspektivene kan virke overveldende. Det er imidlertid viktig ? huske p? at selv om maskiner n? er med p? ? utvikle seg selv, er det prim?rt mennesker som vil utvikle ogs? morgendagens teknologier. Han mener det er sentralt at vi i Norge er med p? denne utviklingen. Her mener kunst- og kulturfeltet har en unik mulighet til ? bidra gjennom eksperimentell utforskning og kritisk refleksjon. Han mener vi vil se flere systemer som fokuserer p? kontinuerlig samhandling mellom mennesker og maskiner, slik som n?r musikere improviserer. Men at man ikke kommer videre med KI uten at de f?r en kropp som kan sanse og handle. Og at KI-systemer vil kunne bli mer empatiske, noe som vil forbedre menneske-maskin-kommunikasjon, men som ogs? reiser mange etiske problemstillinger.

• Jensenius, Alexander Refsum (2025). Improvisasjon for muskelarmb?nd.
• Jemterud, Torkild; Jensenius, Alexander Refsum; Undheim, Vegard & R?islien, Jo (2025). Wonderful Nachspiel med Torkild Jemterud.
• Lerdahl, Erik; Buene, Eivind; Berg, Anna & Jensenius, Alexander Refsum (2025). Musikk, stillhet og kreativitet. Show summary

  Alexander Refsum Jensenius har st?tt stille 10 min hver dag i ett ?r. Han kalles Professor Stillstand. Han leder et senter med 60 ansatte som forsker p? rytme, tid og bevegelse, og vil gjerne forst? mer og dypere om hvordan lydene og inntrykkene av det vi omgir oss med p?virker oss. Hans f?rste erkjennelse er at han tror verden ville kunne bli et bedre sted om alle stod stille 10 minutter hver dag. Hva gj?r musikk og stillhet med oss selv, v?rt velv?re og v?r kreativitet?

• Vuoskoski, Jonna Katariina (2025). The role of empathy in interpersonal coordination.
• Jensenius, Alexander Refsum; Watne, ?shild; Maas?, Arnt & Agledahl, Vetle (2025). Musikksnakk: Allsang. Show summary

  Vi har aldri konsumert mer musikk enn n?, viser forskning. Likevel er det f?rre av oss som tar en aktiv del i musikkskapingen, enn f?r. Hva mister vi n?r vi ikke tar del i, eller vet hvordan man lager, musikk? Vi skal ogs? teste hvordan det er ? synge sammen. Hva skjer med oss da?

• Jensenius, Alexander Refsum (2025). Hvor er vi p? vei? Fremtidens h?yere utdanning.
• Vuoskoski, Jonna Katariina; Perik, Lieke; Foldal, Christian Dyhre & Stupacher, Jan (2025). Groove and rhythmic complexity modulate internal motor simulation in response to music.
• Jensenius, Alexander Refsum (2025). 澳门葡京手机版app下载sfronten. Hva sier den nyeste forskningen oss? [Radio]. NRK P2 Studio 2.
• Jensenius, Alexander Refsum (2025). NOR-CAM og RITMO. Erfaringer fra et interdisiplin?rt senter. Show summary

  ## Sammendrag Innlegget oppsummerer erfaringer med ? implementere CoARA- og NOR-CAM-prinsippene ved RITMO. Forfatteren deler refleksjoner rundt ?pne forskningspraksiser, utfordringer og muligheter ved tverrfaglig 澳门葡京手机版app下载, samt konkrete tiltak for rekruttering, karriereutvikling og et st?ttende akademisk milj?. Fokus ligger p? ? profesjonalisere ansettelsesprosesser, utvikle karriereprogrammer og bygge en kultur for deling og omsorg i forskningsmilj?et.

• Jensenius, Alexander Refsum (2025). Tale under Konkurransen Unge Forskere 2025. Show summary

  I denne forelesningen forteller jeg om hvordan en barndomsfascinasjon for papirsylindres styrke f?rte til en fysikkoppgave p? videreg?ende, som igjen f?rte til finaleplass i konkurransen og deltakelse p? Nobelarrangementer i Stockholm. Opplevelsen ga innsikt i forskningsverdenen og motivasjon til videre studier og forskning.

• Vuoskoski, Jonna Katariina; Foldal, Christian Dyhre; Perik, Lieke & Stupacher, Jan (2025). Trait empathy modulates internal motor simulation in response to rhythmic stimuli.
• Ormstad, Heidi & Jensenius, Alexander Refsum (2025). Helseforskning: ?penhetens balansegang. Show summary

  ?pen forskning skal v?re s? ?pen som mulig og s? lukket som n?dvendig. Skribentene skiller mellom hva forskere skal og b?r gj?re.

• Schau, Kristopher & Jensenius, Alexander Refsum (2025). Nysgjerrige p?: rytmens hemmeligheter. [Internet]. Nysgjerrige Norge. Show summary

  I denne episoden bes?ker Kristopher forskningssenteret RITMO ved Universitetet i Oslo. Der forsker de p? alt fra trommeroboter og mikromusikalske problemstillinger til hvordan vi p?virkes av ventilasjonslyd. Han m?ter senterleder Alexander Refsum Jensenius som forteller om forskning i skj?ringspunktet mellom musikk, bevegelse, psykologi og robotikk.

• Marin-Bucio, Diego (2025). Matriz de Movimiento Maqu¨ªnico (MMM). Show summary

  This lecture introduces a conceptual framework for mapping the ontological roles of technology in choreographic creation. Drawing on case studies of AI-integrated works, it examines human¨Cmachine interaction and the redistribution of agency across dancers, choreographers, and computational systems. The resulting framework offers a practical tool for distinguishing when AI functions as an instrument and when it participates as an active co-creator in dance.

• Leske, Sabine Liliana; St?ver, Isak Elling August; Solbakk, Anne-Kristin; Endestad, Tor; Kam, Julia & Grane, Venke Arntsberg (2025). Behavioral, electromyographic and electrophysiological indicators of altered deviance detection and mind wandering in adult ADHD.
• Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Lubell, Jamie; Llorens, Ana?s; Larsson, P?l Gunnar & Funderud, Ingrid [Show all 12 contributors for this article] (2025). INTRACRANIAL CORRELATES OF ACTION-BASED AUDITORY PREDICTION ERRORS IN HUMANS.
• Riaz, Maham (2025). The Art and Science of Immersive Sound Design in Games - What's the Secret? Show summary

  In modern games, sound design is far more than mere background noise¡ªit conveys a story and shapes entire worlds. We will explore how gamification principles¡ªinteraction, feedback, progression, challenge, exploration, and motivation¡ªintegrate with sound design techniques such as spatial audio, adaptive mixing, and procedural audio to create responsive audio environments. Practical aspects of implementing game audio will be discussed within Unity (and Wwise).

• Jensenius, Alexander Refsum (2025). Video Visualization - Learn to use MG Toolbox. Show summary

  This workshop is designed for students and researchers who work with video recordings. You will learn to use MG Toolbox, a Python package with numerous tools for visualizing and analyzing video files. This includes visualization techniques such as motion videos, motion history images, and motiongrams, which allow for viewing video recordings from different temporal and spatial perspectives in various ways. It also includes some fundamental computer vision analysis, such as extracting the quantity and centroid of motion, and using such features in analysis. MG Toolbox for Python is a collection of high-level modules that generate all of the visualizations mentioned above. The toolbox is relevant for everyone working with video recordings of humans, including linguists, psychologists, medical professionals, human-computer interaction specialists, and educators in the educational sciences.

• Jensenius, Alexander Refsum (2025). Music, RITMO and AI. Show summary

  An introduction to RITMO and ongoing research on the topic of music and AI for a workshop between researchers from the University of Oslo, Queen Mary University of London, and KTH Royal Institute of Technology.

• Danielsen, Anne (2025). RITMO. Forhistorien, id¨¦en og prosessen.
• Glette, Kyrre (2025). Biologically-inspired AI: A framework for designing adaptive robots.
• T?rresen, Jim (2024). Invited talk: Ethics Integrated in Human-Robot Interaction Research. doi: https:/www.roboethics.design.
• Lindblom, Diana Saplacan (2024). Healthcare Professionals¡¯ Attitudes Towards Caregiving Through Teleoperation of Robots in Elderly Care. Seminar at RITMO Centre of Excellence for Time, Rhythm, and Motion. Show summary

  This week's Food and Paper will be given by Diana Saplacan.

• G?ks¨¹l¨¹k, Bilge Serdar & Tidemann, Aleksander (2024). Digital Collaboration in Dance and Music: Remote Interaction and Improvisation with Zoom and LoLa. doi: https:/www.ultima.no/en/ulysses-online-session-remote-connections-co-creation-across-distances. Show summary

  This digital forum explores artistic collaboration through online platforms, examining how technology can facilitate sustainable and eco-friendly ways of creating music collectively. Participants will gain insights into artist-driven initiatives and practical tools for creative co-creation, regardless of geographical distance. Following three short presentations from invited contributors, there will be an open dialogue and exchange of experiences, allowing ULYSSES artists to share their own projects.

• Esterhazy, Rachelle; Arnim, Hugh Alexander von & Damsa, Crina I. (2024). Multimodal learning analytics to explore key moments of interdisciplinary knowledge-construction.
• Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Doelling, Keith & Solbakk, Anne-Kristin [Show all 7 contributors for this article] (2024). Rhythm-based temporal expectations: Unique contributions of predictability and periodicity. Show summary

  Flexibly adapting to our dynamic surroundings requires anticipating upcoming events and focusing our attention accordingly. Rhythmic patterns of sensory input offer valuable cues for these temporal expectations and facilitate perceptual processing. However, a gap in understanding persists regarding how rhythms outside of periodic structures influence perception. Our study aimed to delineate the distinct roles of predictability and periodicity in rhythm-based expectations. Participants completed a pitch-identification task preceded by different rhythm types: periodic predictable, aperiodic predictable, and aperiodic unpredictable. By manipulating the timing of the target sound, we observed how auditory sensitivity was modulated by the target position in the different rhythm conditions. The results revealed a clear behavioral benefit of predictable rhythms, regardless of their periodicity. Interestingly, we also observed an additional effect of periodicity. While both periodic and aperiodic predictable rhythms improved overall sensitivity, only the periodic rhythm seemed to induce an entrained sensitivity pattern, wherein sensitivity peaked in synchrony with the expected continuation of the rhythm. The recorded event-related brain potentials further supported these findings. The target-evoked P3b, possibly a neural marker of attention allocation, mirrored the sensitivity patterns. This supports our hypothesis that perceptual sensitivity is modulated by temporal attention guided by rhythm-based expectations. Furthermore, the effect of rhythm predictability seems to operate through climbing neural activity (similar to the CNV), reflecting preparation for the target. The effect of periodicity is likely related to more precise temporal expectations and could possibly involve neural entrainment. Our findings suggest that predictability and periodicity influence perception via distinct mechanisms.

• Quiroga-Martinez, David R.; Blenkmann, Alejandro O.; Endestad, Tor; Solbakk, Anne-Kristin; Kim-McManus, Olivia & Willie, John T. [Show all 10 contributors for this article] (2024). Enhanced frontotemporal theta and alpha connectivity during the mental manipulation of musical sounds.
• Arnim, Hugh Alexander von & Kelkar, Tejaswinee (2024). The Shapeshifter: Motion Capture and Interactive Dance for Co-constructing the Body.
• Jensenius, Alexander Refsum (2024). From Sound to Science: Open Science Practices at the RITMO Centre. [Internet]. Pathos. Show summary

  A PathOS interview about how Open Science (Open Access to publications, Open/FAIR data and software, collaborations with citizens) has made a positive or negative impact.

• Saplacan, Diana (2024). User Studies in HRI: A Qualitative Research Perspective.
• Saplacan, Diana (2024). Social Robots and Socially Assistive Robots (SARs) within Elderly Care: Lessons Learned So Far.
• Danielsen, Anne (2024). Interdisciplinary music research: gains and challenges. Show summary

  Interdisciplinary music research: gains and challenges Recent years have seen a steady increase in calls for interdisciplinary approaches to research from politicians, university administrators, and public and private funding agencies alike. Interdisciplinary research is needed, it is claimed, to solve many of the foundational crises faced by societies today. While interdisciplinary research holds great promise for large-scale problem-solving, it is also bedeviled by obstacles at the institutional and individual level that monodisciplinary research does not face to the same extent, such as insufficient infrastructure, organizational barriers, lower employability, and few well- established publication channels. Sometimes even more challenging, however, are the different research traditions of the disciplines involved, which might adhere to profoundly different methodological traditions, lack shared criteria for quality assessment, and even disagree regarding what counts as science. In this talk, I will address the gains and challenges of working across radically different disciplines in music research, sharing my experience from three highly interdisciplinary projects: the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion; the MusicLab Copenhagen research concert; and the TIME project on musical microrhythm.

• Bishop, Laura; Hadjidaki-Marder, Elpida; Ledas, Sarunas & Liest?l, Gunnar (2024). Motion capture for augmented reality storytelling in archaeology and cultural heritage dissemination: Simulating an animal sacrifice at Ancient Phalasarna.
• Jensenius, Alexander Refsum & Laczko, Balint (2024). Video Visualization. Show summary

  This workshop is targeted at students and researchers working with video recordings. You will learn to use MG Toolbox, a Python package with numerous tools for visualizing and analyzing video recordings. This includes visualization techniques such as motion videos, motion history images, and motiongrams; techniques that, in different ways, allow for looking at video recordings from different temporal and spatial perspectives. It also includes some basic computer vision analysis, such as extracting quantity and centroid of motion, and using such features in analysis.MG Toolbox for Python is a collection of high-level modules for generating all of the above-mentioned visualizations and analyses. This toolbox was initially developed to analyze music-related body motion but is equally helpful for other disciplines working with video recordings of humans, such as linguistics, psychology, medicine, and educational sciences.

• Fleckenstein, Abbigail Marie; Vuoskoski, Jonna Katariina & Saarikallio, Suvi (2024). Being Musically Moved.
• Jensenius, Alexander Refsum; Wendt, Kaja Kathrine; Ski-Berg, Veronica & Slette, Aslaug Louise (2024). S1E3 Forskerkarrierer - i tall og matriser. [Internet]. Podcast. Show summary

  I tredje episode av NIFUs podkastserie Kunnskapsfloker snakker vi om forskerkarrierer. Hva er egentlig en ?forskerkarriere?, og hvor i samfunnet finner vi forskere? ? utvikle gode forskerkarrierer st?r h?yt p? dagsorden b?de i Norge og i Europa. Det utvikles for tiden nye rammeverk for karriereutvikling samt statistiske indikatorer som dokumenterer hvordan forskerkarrierer utvikler seg over tid. Men hvordan kan forskningssystemet tilrettelegge for mangfoldige forskerkarrierer? Gjester i episoden er Kaja Kathrine Wendt fra SSB/NIFU og Alexander Refsum Jensenius fra UiO. Programledere er Veronica Ski-Berg og Aslaug Louise Slette.

• Swarbrick, Dana & Oddekalv, Kjell Andreas (2024). LAB.prat: RITMO x Popsenteret Live & Livestreamed Concert with Dana & The Monsters and Conversation with Dr. Dana Swarbrick.
• Jensenius, Alexander Refsum (2024). Labprat #3: NM i stillstand. Show summary

  Klarer du ? st? stille til favorittl?ta di? Pr?v selv og vinn 1000kr! Folk sier ofte at det er umulig ? ikke bevege seg til musikk, men stemmer det? Onsdag 3. april kan du teste deg selv n?r professor Alexander Refsum Jensenius ¨C ogs? kjent som Professor stillstand ¨C inviterer til ?NM i stillstand? her p? Popsenteret. Vinneren k?res samme kveld p? LAB.prat #3 med nettopp Alexander! Her f?r du ogs? vite mer om hva som faktisk skjer i kroppen n?r vi h?rer p? musikk. Som vanlig ledes kvelden av fasilitator og ?MC? Dr. Kjell Andreas Oddekalv, ogs? kjent som ?Dr. Kjell? (eller hele Norges Kjelledegge som han selv liker ? si) fra Hiphop orkesteret Sinsenfist. Sammen med Alexander inviterer han til en uformell samtale og Q&A om kroppsrytmer og hvordan de p?virkes av omgivelsene v?re. I tidsrommet mellom stillstandkonkurransen og LAB.prat er Popsenteret ?pent og du er velkommen til ? bes?ke utstillingen v?r og alt den har ? by p?!

• Jensenius, Alexander Refsum (2024). 20 years of concert research at the University of Oslo. Show summary

  In my talk I will give an overview of the concert research conducted in the fourMs Lab at the University of Oslo from the early 2000s to today. Over the years, we have explored and refined numerous data captures methods, from qualitative observation studies, interviews, and diaries to motion capture and physiological sensing. At the core has always been the attempt to shed light on the complexity of music performance. This includes understanding more about the subtleties of performer's sound-producing actions, sound-facilitating motion, and communicative and expressive gestures. It also includes the intricacies of inter-personal synchronization. Over the years, we have been able to expand from studying duos, trios, and quartets to full orchestras. Today, we have lots of data, some answers, and even more questions than when we started. An excellent starting point for future research.

• Jensenius, Alexander Refsum (2024). Video Visualization and Analysis. Show summary

  In this workshop, I will introduce video visualization as a method for understanding more about music-related body motion. Examples will be given of various methods implemented in the standalone application VideoAnalysis and the Musical Gestures Toolbox for Python.

• Jensenius, Alexander Refsum (2024). Blikksporing av musikere og maler p? scenen. Show summary

  Hvor ser en kunstner som maler p? scenen under en konsert? Forskere fra UiO fors?ker ? finne ut av dette ved hjelp av avansert blikksporingsteknologi.

• Carvalho, Vinicius Rezende (2024). Da trajet¨®ria acad¨ºmica ¨¤ experi¨ºncia no exterior (From academic trajectory to experience abroad).
• Bishop, Laura (2024). Coordination and individuality in orchestral string sections.
• Fleckenstein, Abbigail Marie; Vuoskoski, Jonna Katariina & Saarikallio, Suvi (2024). Being Musically Moved.
• Danielsen, Anne; Syvertsen, Tuva; Holm, Askil & Austlid, Alexander (2024). Trenger vi utdanning i l?tskriving og musikkproduksjon?
• Polak, Rainer (2024). Embedded Audiency: Performing as Audiencing at Music-Dance Circle Events in Mali.
• Polak, Rainer & Jacoby, Nori (2024). Biological Constraints and Cultural Possibilities in Rhythm Perception.
• Jensenius, Alexander Refsum (2024). The Ambient project at RITMO. Show summary

  The AMBIENT project aims to study how such elements influence people's bodily behaviors and how they feel about the rhythms in an environment. This will be done by studying how different auditory and visual stimuli combine to create rhythms in various settings.

• Jensenius, Alexander Refsum (2024). From air guitar to self-playing guitars. Show summary

  What can air guitar performance tell about people's musical experience and how does it relate to real guitar performance? Alexander Refsum Jensenius will tell about his decade-long research into music-related body motion of both performers and perceivers. He will also tell about how this has informed new performance paradigms, including the self-playing guitars that will be showcased at the festival. ? Alexander Refsum Jensenius is a professor of music technology at the University of Oslo and Director of RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion. He studies how and why people move to music and uses this knowledge to create new music with untraditional instruments. He is widely published, including the books Sound Actions and A NIME Reader.

• Jensenius, Alexander Refsum (2024). Embodied music-related design. Show summary

  Abrahamson et al. (2022) recently called for a merging of Embodied Design-Based Research and Learning Analytics to establish a coherent and integrated focus on Multimodal Learning Analytics of Embodied Design. In Spring 2022, members of EDRL and selected international collaborators of the lab participated in ¡°Rhythm Rising,¡± a workshop week hosted at University of Oslo¡¯s RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion. The workshop featured activities for graduate students to learn the scientific research methodologies of gathering physical, physiological, and neurobiological data from study participants engaged in interactive learning of STEM content. The activities combined the respective expertise of Abrahamson (learning sciences) and Jensenius (embodied music cognition and technology) to investigate sensorimotor micro-processes hypothesized to form the cognitive basis of conceptual understandings, such as hand- and eye actions leading to the emergence of mathematical insight. Whereas the Oslo workshop spurred great enthusiasm among the graduate students, its duration only allowed time for initial data collection. Therefore, we would like to regather in Spring 2024 to continue our collaborative work and to share insights about data analysis, visualization, and interpretation. Concurrently, we¡¯ll develop ideas for future joint research projects.

• Jensenius, Alexander Refsum (2024). MusicLab som et ?pen forskningsprosjekt mellom RITMO og UB. Show summary

  MusicLab er et 澳门葡京手机版app下载 mellom RITMO og Universitetsbiblioteket. M?let er ? utforske nye m?ter ? samle inn og formidle musikkrelaterte forskningsdata p?.

• Jensenius, Alexander Refsum (2024). ?pen forskning muliggj?r forskningsn?r utdanning. Show summary

  Selv om vi liker ? si at driver med forskningsbasert utdanning, er organiseringen av forskning og utdanning gjerne plassert i ulike siloer, skriver Alexander Refsum Jensenius.

• Saplacan, Diana (2024). Human Robot Interaction: Studies with Users.
• Talseth, Thomas & Br?vig, Ragnhild (2024). Kommentar til innlegget "Refser NRK for ? la G?te-l?t konkurrere i Melodi Grand Prix". [Journal]. VG.
• Blenkmann, Alejandro Omar; Volehaugen, Vegard Akselsson; Carvalho, Vinicius Rezende; Leske, Sabine Liliana; Llorens, Anais & Funderud, Ingrid [Show all 14 contributors for this article] (2024). An intracranial EEG study on auditory deviance detection.
• Saplacan, Diana (2024). Qualitative Observational Video-Based Study on Perceived Privacy in Social Robots¡¯ Based on Robots Appearances.
• Jensenius, Alexander Refsum & Danielsen, Anne (2024). Tverrfaglighet: 40-grupper til besv?r. Show summary

  Vi er positive til fler- og tverrfaglige studiel?p og synes 40-grupper er en god id¨¦. Strukturen er p? plass, men implementeringen er mangelfull. Til tider er det vanskelig ? skj?nne at vi jobber ved samme institusjon.

• Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Doelling, Keith & Solbakk, Anne-Kristin [Show all 7 contributors for this article] (2024). Rhythm-based temporal expectations: Unique contributions of predictability and periodicity.
• Glette, Kyrre (2024). Evolutionary design of morphology and control for simulated and real-world robots.
• Wallace, Benedikte (2024). Imitation or Innovation? Translating Features of Expressive Motion from Humans to Robots.
• Bucio, Diego Antonio Marin (2024). Dancing Embryo: Danza y co-creatividad humano-IA.
• T?rresen, Jim (2024). Ethical, Legal and Technical Challenges and Considerations.
• Bucio, Diego Antonio Marin (2024). Dance in the unequal world of High Tech.
• Bucio, Diego Antonio Marin (2024). Embodying the artificial: a multimodal human-machine performance.
• Bucio, Diego Antonio Marin (2024). ?Puede una IA bailar? Show summary

  Las reflexiones y resultados que se presentan en este art¨ªculo tienen su origen en la experiencia de dise?ar un bailar¨ªn de inteligencia artificial y la posterior cocreaci¨®n de danza humano-IA en el proyecto ?Dancing Embryo? (Marin, Wallace y 6A9). La investigaci¨®n gira en torno a tres etnograf¨ªas que captan el proceso de colaboraci¨®n entre humanos y m¨¢quinas para crear e interpretar danza. Esta investigaci¨®n trasciende la mera innovaci¨®n tecnol¨®gica para convertirse en una profunda indagaci¨®n filos¨®fica, que cuestiona la naturaleza y los l¨ªmites del arte de la danza.

• Basi¨½ski, Krzysztof; Dom?alski, Tomasz & Blenkmann, Alejandro Omar (2024). The effect of harmonicity on mismatch negativity responses to different auditory features.
• Carvalho, Vinicius Rezende; Collavini, Santiago; Kochen, Silvia; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2024). Human single-neuron responses to a local-global oddball paradigm.
• Solbakk, Anne-Kristin (2024). Inhibitory control and impulsive actions in ADHD.
• Oddekalv, Kjell Andreas (2024). ¡°I¡¯m sorry y¡¯all, I often drift ¨C I¡¯m talking gift¡± Microrhythmic analysis of rap ¨C categorization, malleability and structural bothness.
• T?rresen, Jim (2024). Invitert foredrag: Vil vi ha roboter til ? hjelpe oss n?r vi trenger hjelp?
• Asko, Olgerta; Volehaugen, Vegard Akselsson; Leske, Sabine Liliana; Funderud, Ingrid; Llorens, Ana?s & Ivanovic, Jugoslav [Show all 12 contributors for this article] (2024). Predictive encoding of deviant tone sequences in the human prefrontal cortex.
• Oddekalv, Kjell Andreas (2024). Dr. Kjell: Hiphop 40 ?r i Norge.
• Asko, Olgerta; Volehaugen, Vegard Akselsson; Leske, Sabine Liliana; Funderud, Ingrid; Anais, Llorens & Ivanovic, Jugoslav [Show all 12 contributors for this article] (2024). Predictive encoding of deviant tone sequences in the human prefrontal cortex. Show summary

  The ability to use predictive information to guide perception and action relies heavily on the prefrontal cortex (PFC), yet the involvement of its subregions in predictive processes remains unclear. Recent perspectives propose that the orbitofrontal cortex (OFC) generates predictions about perceptual events, actions, and their outcomes while the lateral prefrontal cortex (LPFC) is involved in prospective functions, which support predictive processes, such as selective attention, working memory, response preparation or inhibition. To further delineate the roles of these PFC areas in predictive processing, we investigated whether lesions would impair the ability to build predictions of future events and detect deviations from expected regularities. We used an auditory deviance detection task, in which the structural regularities of played tones were controlled at two hierarchical levels by rules defined at a local (i.e., between tones within sequences) and global (i.e., between sequences) level. We have recently shown that OFC lesions affect detecting prediction violations at two hierarchical levels of rule abstraction, i.e., altered MMN and P3a to local and simultaneous local + global prediction violations (https://doi.org/10.7554/eLife.86386). Now, we focus on the task's predictive aspect and present the latest results showing the involvement of PFC subregions in anticipation of deviances informed by implicit predictive information. Behavioral data shows that deviance expectancy induced faster deviance detection in healthy adults (n=22), suggesting that participants track a state space representation of the task and anticipate upcoming deviant sequences. The analysis of EEG data from patients with focal lesions to the OFC (n = 12) or LPFC (n = 10), and SEEG from the same areas in patients with epilepsy (n = 7), revealed interesting differences. Healthy adults (n = 15) showed modulations of the Contingent Negative Variation (CNV) ¨C a marker of anticipatory activity - tracking the expectancy of deviant tone sequences. However, patients with OFC lesions lacked CNV sensitivity to the predictive context, while patients with LPFC lesions showed moderate sensitivity compared to healthy adults. These results were further supported by intracranial recordings, which revealed expectancy modulation of the high-frequency broadband signal from electrodes in OFC and LPFC, with an earlier latency of activity modulation for the OFC and a later one for the LPFC. Altogether, the complementary approach from behavioral, intracerebral EEG, scalp EEG, and causal lesion data provides compelling evidence for the distinct engagement of the two prefrontal areas in predicting future events and signaling deviations.

• Oddekalv, Kjell Andreas (2024). Panelsamtale: Fra mainstream til oppr?r til mainstream igjen ¨C Hiphop 40 ?r i Norge.
• Oddekalv, Kjell Andreas; Bj?rkheim, Terje; S?rli, Anders Ruud; Ugstad, Magnus; Hole, Erik & Walderhaug, Bendik (2024). Sinsenfist julekonsert 2024.
• Bernhardt, Emil (2024). The Beauty and/of the Beat: Expressive Regularity in Schubert.
• G?ks¨¹l¨¹k, Bilge Serdar (2024). Conducting Semi-Structured Dance Research in Motion Capture Labs.
• G?ks¨¹l¨¹k, Bilge Serdar (2024). Remote Intercorporeality Through Telematic Technologies.
• Lartillot, Olivier (2024). Successes and challenges of computational approaches for audio and music analysis and for predicting music-evoked emotion. Show summary

  Background Decades of research in computational sound and music analysis has led to a large range of analysis tools offering rich and diverse description of music, although a large part of the subtlety of music remains out of reach. These descriptors are used to establish computational models predicting perceived or induced emotion directly from music. Although the models can predict a significant amount of variability of emotions experimentally measured (Panda et al., 2023), further progress seems hard to achieve, probably due to the subtlety of music and of the mechanisms underlying the evocation of emotion from music. Aims An extensive but synthetic panorama of computational research in sound and music analysis as well as emotion prediction from music is presented. Core challenges are highlighted and prospective ways forward are suggested. Main contribution For each separate music dimension (dynamics, timbre, rhythm, tonality and mode, motifs, phrasing, structure and form), a synthetic panorama of the state of the art is evoked, highlighting strengths and challenges as well as indicating how particular sound and music features have been found to correlate with rated emotions. The various strategies for modelling emotional reactions to audio and musical features are presented and discussed. One common general analytical approach carries out a broad and approximate analysis of the audio recording based on simple mathematical models, describing individual audio or musical characteristics numerically. It is suggested that such loose approach might tend to drift away from commonly understood musical processes and to generate artefacts. This vindicates a more traditional musicological approach based on a focus on the score or approximations of it ¨C through automated transcription if necessary ¨C and a reconstruction of the types of traditional representations commonly studied in musicology. I also argue for the need to closely reflect the way humans listen to and understand music, inspired by a cognitive perspective. Guided by these insights, I sketch the idea of a complex system made of interdependent modules, founded on sequential pattern inference and activation scores not based on statistical sampling. I also suggest perspectives for the improvement of computational prediction of emotions evoked by music. Discussion and conclusion Further improvements of computational music analysis methods, as well as emotion prediction, seem to call for a change of modelling paradigm. References R. Panda, R. Malheiro, R. Paiva, "Audio Features for Music Emotion Recognition: A Survey", IEEE Transactions on Affective Computing, 14-1, 68-88, 2023.

• Jensenius, Alexander Refsum; Danielsen, Anne; Kvammen, Daniel & Tollefsb?l, Sofie (2024). Musikksnakk: Musikk i urolige tider. Show summary

  P? konsert f?ler vi samhold med fremmede, viser forskning. I et kort ?yeblikk samler musikken oss. Hvordan kan musikk ogs? samle oss i urolige tider? Hva er det med akkurat musikk som forener oss? Bli med p? musikksnakk med artistene Daniel Kvammen og vokalist i FIEH, Sofie Tollefsb?l, og musikkforsker Anne Danielsen. Her vil musikkprofessor Alexander Refsum Jensenius lede samtalen med ulike sp?rsm?l knyttet til tematikken ¨C kanskje svarer de p? ditt sp?rsm?l ogs?? Samtalen er beregnet for et publikum uten faglig bakgrunn i temaet.

• Jensenius, Alexander Refsum (2024). The assessment of researchers is changing ¨C how will it impact your career? Show summary

  Changes are happening in the world of research assessment, for example by recognizing several competencies as merits and a better balance between quantitative and qualitative goals. In Norway, for example, Universities Norway presented the NOR-CAM report in 2021 which sparked a movement for reform. As an early career researcher, it's crucial to understand how these changes may impact your research career. In this talk, Jensenius will discuss the evolving landscape of research assessment and what it means for you.

• Lartillot, Olivier (2024). Introduction to the MiningSuite toolbox.
• Blenkmann, Alejandro Omar (2024). Current challenges in human EEG/iEEG/SUA.
• Lartillot, Olivier (2024). KI-verkt?y for h?ndtering, transkribering og analyse av musikkarkiver. Show summary

  Jeg presenterer en rekke verkt?y utviklet i 澳门葡京手机版app下载 med Nasjonalbiblioteket. AudioSegmentor deler automatisk b?ndopptak i individuelle musikkstykker. Dette verkt?yet forenklet digitaliseringen av Norsk folkemusikksamling. Vi bruker avanserte dyp l?ringsmetoder for ? skape et banebrytende automatisk musikktranskriberingssystem, MusScribe, f?rst finjustert for Hardingfele, og n? gjort tilgjengelig for musikkarkivprofesjonelle for et bredt spekter av musikk. Jeg diskuterer ogs? v?re p?g?ende fremskritt innen den automatiserte musikologiske analysen av folkemusikkstykker og omfattende samlinger.

• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Llorens, Ana?s; Lin, Jack J.; Chang, Edward & Brunner, Peter [Show all 12 contributors for this article] (2024). Novel tools for the anatomical registration of intracranial electrodes.
• G?ks¨¹l¨¹k, Bilge Serdar (2024). Remote Dance Improvisation Through Advanced Telematic Technologies.
• Jensenius, Alexander Refsum (2024). Muskelmusikk. Show summary

  Hva skjer i musklene n?r vi fors?ker ? st? stille? Hvordan kan men lage musikk fra kroppen. I pausen p? Forsker Grand Prix vil jeg underholde med et sceneshow hvor jeg utforsker interaktive muskelarmb?nd og en musikkhanske.

• G?ks¨¹l¨¹k, Bilge Serdar (2024). Immersive Technologies in TYA: Bodily Concerns, Challenges and Opportunities.
• G?ks¨¹l¨¹k, Bilge Serdar (2024). Immersive Technologies and Their Implications in Theatre for Young Audiences.
• T?rresen, Jim (2024). Kunstig intelligens og forskningsetiske vurderinger.
• Jensenius, Alexander Refsum (2024). Hvorfor trenger vi lisenser p? data? Show summary

  QualiFAIR huben inviterer til en presentasjon og en diskusjon om rettighetene til data og behov for lisenser for data og annet forskningsmateriale.

• Ziegler, Michelle; Sudo, Marina; Akkermann, Miriam & Lartillot, Olivier (2024). Towards Collaborative Analysis: Kaija Saariaho¡¯s IO.
• Vestre, Katharina; Mossige, Joachim; L?vvik, Ole Martin & Jemterud, Torkild (2024). Abels t?rn 12.1.2024. [Radio]. Abels t?rn NRK P2.
• Polak, Rainer; Lara, Pearson & Samuel, Horlor (2024). Audiency Beyond the Concert Hall: An Interaction-Based, Music-Theoretical Approach.
• Bucio, Diego Antonio Mar¨ªn & Polak, Rainer (2024). Exploring motion capture systems in dance research: a case study of djembe dance from West Africa.
• Jensenius, Alexander Refsum & Lilleeng, Sverre (2024). Professor stillstand. [Internet]. NRK.
• Polak, Rainer; Holzapfel, Andre & Paschalidou, Stella (2024). Motion capture in the field: three reports of hardships in data collection and processing.
• Kwak, Dongho; Baselizadeh, Adel; Otterdijk, Marieke van; Saplacan, Diana & Torresen, Jim (2024). "Noisy" Matching of Motion Velocity of an Assistive Robot to the Users' Walking Velocity.
• Riaz, Maham (2024). Comparing Spatial Audio Recordings from Commercially Available 360-degree Video Cameras. Show summary

  This paper investigates the spatial audio recording capabilities of various commercially available 360-degree cameras (GoPro MAX, Insta360 X3, Garmin VIRB 360, and Ricoh Theta S). A dedicated ambisonics audio recorder (Zoom H3VR) was used for comparison. Six action sequences were performed around the recording setup, including impulsive and continuous vocal and non-vocal stimuli. The audio streams were extracted from the videos and compared using spectrograms and anglegrams. The anglegrams show adequate localization in ambisonic recordings from the GoPro MAX and Zoom H3VR. All cameras feature undocumented noise reduction and audio enhancement algorithms, use different types of audio compression, and have limited audio export options. This makes it challenging to use the spatial audio data reliably for research purposes.

• Riaz, Maham & Theodoridis, Ioannis (2024). Ventilation hacking. Show summary

  We examine innovative approaches to mitigate the issue of unwanted ventilation noise, transforming it from a disruptive element into a source of ambient or musical sound. We propose a range of solutions, from mechanical adjustments to acoustic treatments and digital interventions.

• T?rresen, Jim (2024). Tutorial: AI Ethical challenges and considerations.
• T?rresen, Jim; Baselizadeh, Adel; Mahler, Tobias & Bygrave, Lee Andrew (2024). Machine Performance Tradeoffs to Ethical and Legal Perspectives.
• Jensenius, Alexander Refsum (2024). Stod stille hver dag i 10 minutter. [TV]. NRK Helgemorgen.
• Br?vig, Ragnhild & Aareskjold-Drecker, Jon Marius (2024). Hey Siri, what are the royalty splits of the song you wrote for me?
• Carvalho, Vinicius Rezende; Collavini, Santiago; Kochen, Silvia; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2024). Single-neuron responses to a multifeature oddball paradigm.
• T?rresen, Jim (2024). Ethical considerations for robots supporting independent living of older people.
• T?rresen, Jim (2024). AI Ethics ¨C Challenges and Opportunities ¨C Keynote talk.
• T?rresen, Jim (2024). Ethical, Legal and User Perspectives on Research in Assistive Robots.
• Jensenius, Alexander Refsum (2024). Hvordan kan ?pen forskning lede til ?pen utdanning? Og omvendt? Show summary

  ?penhet og akademisk frihet er hj?rnesteiner i et velfungerende forskningssystem. Dette m? vi bevare n?r vi skal bygge et helhetlig nasjonalt forskningssystem som ogs? inkluderer skjermet og gradert forskning. Hvordan skal vi klare ? bygge et forskningssystem som er s? ?pent som mulig og s? lukket som n?dvendig? ?pen forskning inneb?rer at forskningen gj?res tilgjengelig og deles av forskere, institusjoner, sektorer og over landegrenser. Det har v?rt lite fokus p? de positive sidene ?pen forskning kan ha innen utdanning. Hvordan kan vi motivere til mer forskningsn?r utdanning, men ogs? ?ke kvaliteten p? forskningen?

• Guo, Jinyue (2024). Comparing Four 360-Degree Cameras for Spatial Video Recording and Analysis. Show summary

  This paper reports on a desktop investigation and a lab experiment comparing the video recording capabilities of four commercially available 360-degree cameras: GoPro MAX, Insta360 X3, Garmin VIRB 360, and Ricoh Theta S. The four cameras all use different recording formats and settings and have varying video quality and software support. This makes it difficult to conduct analyses and compare between devices. We have implemented new functions in the Musical Gestures Toolbox (MGT) for reading and merging files from the different platforms. Using the capabilities of FFmpeg, we have also made a new function for converting between different 360-degree video projections and formats. This allows (music) researchers to exploit 360-degree video recordings using regular videobased analysis pipelines.

• S?yseth, Vegard; Bergfl?dt, Adrian Anderson; Glette, Kyrre; Watanabe, Shin & Otterdijk, Marieke van (2024). Utstilling av roboter p? SENT @ Teknisk museum.
• Br?vig, Ragnhild (2024). Exploring the Intersection of AI, Ethics, and Music.
• T?rresen, Jim (2024). From Adaptation of the Robot Body and Control Using Rapid-Prototyping to Human¨CRobot Interaction with TIAGo.
• Br?vig, Ragnhild & Grydeland, Ivar (2024). Love your Latency and the Glitching Spatiotemporal Condition.
• Jensenius, Alexander Refsum (2024). Can doing nothing tell us everything? Show summary

  Can doing nothing tell us everything? Meet Professor Alexander Refsum Jensenius, a music researcher exploring the deep connections between sound, space, and the human body. Through his fascinating studies on stillness and motion, Alexander has discovered surprising insights into how we interact with our environment.

• Jensenius, Alexander Refsum (2024). The assessment of researchers is changing ¨C how will it impact your career? Show summary

  Changes are happening in the world of research assessment, for example by recognizing several competencies as merits and a better balance between quantitative and qualitative goals. In Norway, for example, Universities Norway presented the NOR-CAM report in 2021 which sparked a movement for reform. As an early career researcher, it's crucial to understand how these changes may impact your research career. In this talk, Jensenius will discuss the evolving landscape of research assessment and what it means for you.

• Jensenius, Alexander Refsum; Edwards, Peter; Klungnes, Kristina Mariell Dulsrud; Berg, Anna & Jenssen, Kjell Runar (2024). Musikksnakk: Filmmusikk. Show summary

  Musikk skaper stemning i filmer. Men hvordan klarer filmmusikken ? bevege oss s? mye? Og hva er starten p? fortellingen om hvorfor man bruker musikk for ? skape en viss stemning? Se for deg en hai komme sv?mmende mot en uviten bader ¨C i stillhet. Hva med Frodo og Sam som karrer seg opp Mount Doom til lyden av... ingenting? Eller Katniss Everdeen som kj?rer i en vogn i flammer gjennom Capitol, uten trommer som dr?nner og majestetiske horn? Litt kjedelig, ikkesant? Musikk er viktig i film for ? lage en viss stemning. Men hvordan ble det s?nn? Er det bare for ? f? oss til ? f?le, eller ligger det en historie bak filmmusikken?

• Jensenius, Alexander Refsum & Jerve, Karoline Ruderaas (2024). Verdens st?rste musikkeksperiment. [Journal]. Ballade. Show summary

  I kveld m?tes NRKs popul?rvitenskapelige radioprogram Abels t?rn, KORK og forskningsprosjektet MusicLab for ? m?le hva som skjer mellom musikere og publikum n?r de utsettes for musikk.

• Jensenius, Alexander Refsum; R?nning, Anne-Birgitte; Haug, Dag Trygve Truslew & S?ther, Steinar Andreas (2024). Frokostm?te: Humaniora og infrastruktur. Show summary

  Heller ikke en humanistisk forsker klarer seg helt p? egenh?nd. Men hvilken infrastruktur trenger vi for humanistisk forskning? Infrastrukturer kommer i mange st?rrelser og former, og vi snakker stadig mer om dem - s?rlig n?r samtalen dreier seg om det digitale skiftet. Derfor sp?r vi: hva er humanioras infrastrukturer? Hvilke forskjeller og likheter er det mellom de forskjellige fagene p? HF? Hvordan kan vi best s?rge for at n?dvendig infrastruktur er p? plass? For ? gi seg i kast med disse sp?rsm?lene har vi samlet et panel med erfarne forskere og undervisere fra ulike HF-fag som alle i tillegg har erfaring fra lederroller og verv med betydning for hvordan HF og UiO forholder seg til infrastruktur.

• Jemterud, Torkild; Jensenius, Alexander Refsum; L?seth, Guro Engvig & Holthe, Kolbj?rn (2024). ABELS KORK - Verdens st?rste(?) musikkeksperiment. [Radio]. NRK. Show summary

  Hvordan p?virker musikk oss? Hva skjer i hjernen v?r n?r vi h?rer en melodi vi liker ¨C eller misliker? Hvorfor reagerer vi forskjellig p? ulike typer musikk? Og hvordan klarer et helt orkester ? spille plettfritt sammen? Og forresten: trenger de egentlig ? ha en dirigent? Hver fredag svarer panelet i Abels t?rn p? alle slags vitenskapelige sp?rsm?l, store og sm?, fra lytterne. Noen vil langt ut i verdensrommet, og andre er mer opptatt av hva som skjer p? kj?kkenbenken. Men musikk er noe vi alle har et forhold til. Den er rundt oss hele tiden, og det er mye ? undre seg over n?r det gjelder musikk og hvordan den taler til oss p? dype personlige plan. Derfor har Abels t?rn og KORK g?tt sammen med RITMO og Universitetsbiblioteket for ? lage en musikalsk utgave av det popul?re vitenskapsprogrammet. Vi introduserer: Abels KORK!

• Jensenius, Alexander Refsum; Riaz, Maham; Oldfield, Thomas L & Juarez, Karenina (2024). RITMO-studenter presenterer nye installasjoner. Show summary

  Studenter tilknyttet RITMO stiller ut prosjektene sine p? Popsenteret: en interaktiv symaskin fra 1911, et lyttende og snakkende speil, og et interaktivt maleri. Hvordan kan slike objekter gi musikalske opplevelser?

• J¨®nsson, Bj?rn Th¨®r; Erdem, ?a?ri; Fasciani, Stefano & Glette, Kyrre (2024). Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs. Show summary

  This study draws on the challenges that composers and sound designers face in creating and refining new tools to achieve their musical goals. Utilising evolutionary processes to promote diversity and foster serendipitous discoveries, we propose to automate the search through uncharted sonic spaces for sound discovery. We argue that such diversity promoting algorithms can bridge a technological gap between the theoretical realisation and practical accessibility of sounds. Specifically, in this paper we describe a system for generative sound synthesis using a combination of Quality Diversity (QD) algorithms and a discriminative model, inspired by the Innovation Engine algorithm. The study explores different configurations of the generative system and investigates the interplay between the chosen sound synthesis approach and the discriminative model. The results indicate that a combination of Compositional Pattern Producing Network (CPPN) + Digital Signal Processing (DSP) graphs coupled with Multi-dimensional Archive of Phenotypic Elites (MAP-Elites) and a deep learning classifier can generate a substantial variety of synthetic sounds. The study concludes by presenting the generated sound objects through an online explorer and as rendered sound files. Furthermore, in the context of music composition, we present an experimental application that showcases the creative potential of our discovered sounds.

• Jensenius, Alexander Refsum (2024). Challenges and Possibilities of Open Music Data. Show summary

  The Sempre Autumn conference was an online student study day, held on Friday 8th November 2024, with a combination of student presentations, research speed dating, and a special session on open research featuring Professor Iain Brennan (University of Hull), Professor Tuomas Eerola (Durham University), and Professor Alexander Refsum Jensenius (University of Oslo). The event was open to doctoral students at any stage of their research and those thinking of applying for doctoral study. We invited proposals for short presentations (10 minutes + 5 for Q&A) from doctoral students, on any aspect of music psychology or music education.

• Glette, Kyrre (2024). Bio-inspiration and divergent search algorithms for robotics and sound exploration.
• Solbakk, Anne-Kristin; Hope, Mikael; Solli, Sandra; Leske, Sabine Liliana; Foldal, Maja Dyhre & Blenkmann, Alejandro Omar (2024). Research seminar.
• J¨®nsson, Bj?rn Th¨®r (2024). Phytobenthos 1. Show summary

  A playlist of livestream recordings during several nights of stochastic sequencing through sets of sounds found during runs with different configurations of quality diversity search.

• Norstein, Emma Stensby; Yasui, Kotaro; Kano, Takeshi; Glette, Kyrre & Ishiguro, Akio (2024). A bio-inspired decentralized approach to multi-morphology control. Show summary

  Traditional robot controllers are usually optimized for a specific robot design, and will often fail if the robot¡¯s morphology is changed. This can be a challenge for robustness to damage, self-reconfiguring robots, or in the case of morphology design search algorithms, where each new robot design dictates re-learning the controller. Here, we take on a highly bio-inspired approach, taking inspiration from the versatility of myriapod locomotion, to create a multi-morphology controller. We propose a simple decentralized controller model, which can, without change in parameters, adapt to various centipede-like morphologies and display different behaviors based on changes in the morphology and environment. The approach shows potential for robot design and could potentially be useful for understanding mechanisms of animal locomotion.

• C?mara, Guilherme Schmidt (2024). Looking for the perfect JND: In search of more ecological thresholds for the perception of microrhytm in groove-based music. Show summary

  There is currently a gap in microrhythm research regarding to what extent we perceive nuances in the timing of complex acoustic stimuli in realistic musical contexts. Classic studies tend to investigate the so-called just-noticeable difference (JND) thresholds of timing discrimination in non- or quasi-rhythmic contexts, and generally use non-musical sound stimuli such as clicks or sine waves. Findings from these studies show that we can discriminate minute timing irregularities between such simple sounds with a high degree of precision ¨C as low as 2 milliseconds for onset asynchronies between tones (Hirsh 1959, Zera & Green 1993). In more recent decades, studies have incorporated musical sounds into discrimination experiments, though these are often still synthesized, and at best tend to resemble quasimusical/rhythmic contexts. Even so, these have revealed similar impressive acuity results, as well as further revealing important effects of tempo (IOI) and degree of musical training on timing JNDs (Frane & Shams 2017; Friberg & Sundberg 1995). To our knowledge, however, none have yet focused attention towards JND thresholds in more realistic musical contexts. As such, the extent to which results derived from non- or quasi-musical experimental settings translate to our perception of microrhythmic nuances in real groove-based music ¨C that is, highly multilayered ensembles featuring a range of complex instrumental sounds and rhythmic patterns ¨C remains somewhat poorly understood. In this talk, I will present an overview of some of the abovementioned salient literature on perceptual thresholds of microtiming, with focus on asynchrony (beat delay/anticipation) and anisochrony (swing). In addition, I will present some preliminary results from our own ongoing series of JND experiments which seek to generate more ecologically valid perceptual heuristics for microrhythm in simple, yet realistic, groove-based musical contexts. Results from pilot experiments on a standard funk pattern (modelled on James Brown¡¯s Soul Power) already indicate that JNDs for simple detection of asynchrony in a given instrument layer (guitar, bass, drums [hi-hat, kick, snare]) exceed those predicted by the previous literature. This suggests that perhaps we are not as sensitive to certain forms of microrhythmic nuances in realistic musical contexts as previously thought. They also point to important differences in JND thresholds between musicians and non-musicians ¨C individuals without musical training appear to be significantly less sensitive to microrhythmic nuances than musicians ¨C as well as between percussive and stringed instruments ¨C we appear to be more sensitive to asynchronies produced by sharper, impulsive drum sounds, as opposed to wider, smoother ones such as those of the electric bass and guitar. These latter findings in particular add to the growing awareness in the field of microrhythm studies that sound-related features related to timbre are fundamental to the perception and production of timing in groove-based contexts (C?mara et al. 2020a; 2020b). Different methodological approaches and challenges will also be discussed, with focus on how different procedures/tasks (e.g. directly comparing two grooves ¨C one with, and one without, asynchrony ¨C then identifying the one with asynchrony [2AFC], as opposed to simply listening to one groove, then identifying whether asynchronies were present or not [Yes/No]) can further affect JND timing thresholds and ultimately provide quite different answers as to what extent ¡®microrhythm matters¡¯ perceptually to us as listeners.

• Nielsen, Nanette (2024). Enacting musical aesthetics: the embodied experience of live music.
• Oddekalv, Kjell Andreas; Bj?rkheim, Terje; S?rli, Anders Ruud; Ugstad, Magnus; Hole, Erik & Walderhaug, Bendik (2024). Sinsenfist p? Carls.
• Oddekalv, Kjell Andreas (2024). Humaniorafestivalen 2024, Inn i historien: Dr. Kjell presenterer: 40 ?r med norsk hiphop | Stovner.
• Oddekalv, Kjell Andreas & Laeng, Bruno (2024). LAB.prat #2: Professor Bruno Laeng - Vi lytter med ?ynene.
• Oddekalv, Kjell Andreas & Swarbrick, Dana (2024). LAB.prat #1: Dr. Dana Swarbrick || Dana & The Monsters.
• Blenkmann, Alejandro Omar (2024). The role of the Orbitofrontal Cortex in building predictions and detecting violations.
• Vuoskoski, Jonna Katariina; Treider, John Melvin Gudnyson & Huron, David (2024). The attribution of virtual agency to music predicts liking.
• Thedens, Hans-Hinrich & Lartillot, Olivier (2024). The Norwegian Catalogue of Folk Music Online.
• Monstad, Lars L?berg & Lartillot, Olivier (2024). muScribe: a new transcription service for music professionals.
• Oddekalv, Kjell Andreas & Jensenius, Alexander Refsum (2024). LAB.prat #3 og "NM i stillstand": Kan man st? stille til musikk?
• Oddekalv, Kjell Andreas (2024). Vi skriv p? tog, og vi skriv p? tog - pitch.
• Johansson, Mats Sigvard & Lartillot, Olivier (2024). Automated transcription of Hardanger fiddle music: Tracking the beats.
• Oddekalv, Kjell Andreas (2024). The Sound of the crew in rap: Rapping chimeras, illusory posses and other fantastical creatures summoned in the studio and cipher.
• Oddekalv, Kjell Andreas (2024). Humaniorafestivalen 2024, Inn i historien: Dr. Kjell presenterer: 40 ?r med norsk hiphop | Bj?rnholt.
• Grane, Venke Arntsberg; Endestad, Tor; St?ver, Isak Elling August; Leske, Sabine Liliana & Solbakk, Anne-Kristin (2024). Executive Function in a Treatment-Naive ADHD Cohort Diagnosed in Adulthood. Show summary

  Background: Attention Deficit Hyperactivity Disorder (ADHD) is an early onset neurodevelopmental condition presenting with diverse cognitive/behavioral impairments that persist into adulthood for half of those affected. Objective: To examine whether unmedicated adults show general- or specific reductions in core executive functions (EFs). Method: Performance on EF-tasks was assessed in adult patients with ADHD, Combined type (n=36) and in healthy controls (n=34), matched on gender, age, and education level. The tasks tapped memory span/working memory (Digit Span), interference control/response inhibition (Color Word Interference Test; CWIT-Inhibition), set-shifting/switching (CWIT-Switching; Trail Making Test [TMT]), and abstract reasoning (Wisconsin Card Sorting Test; [WCST]). Results: There was no group difference in immediate memory span, but the patients performed significantly worse than controls when there was an additional demand on working memory. Statistically controlling for individual differences in information processing speed (using an independent reaction time measure) did not alter the result. Patients performed inferiorly on basic psychomotor speed conditions of the TMT, but the most pronounced group difference appeared on the set-shifting condition. The CWIT-Inhibition condition did not distinguish the groups, but patients had a near-significant tendency to perform more poorly when a concurrent demand on rapid set-switching was introduced. They completed fewer card-sorting categories on the WCST than controls, with more errors overall. There was no significant difference in perseverative errors, but patients committed more non- perseverative errors and failures to maintain set, indicating more random choices and/or losing track of the current sorting principle. Conclusion: ADHD-related reductions of attention maintenance, switching, and working memory, but not inhibitory control, support the literature indicating that ADHD in adulthood is neither associated with specific deficits in inhibitory control, and nor with a general executive impairment. Accordingly, clinical assessment should span a range of EF tests, including the core control functions studied here.

• Vuoskoski, Jonna Katariina & Stupacher, Jan (2024). Investigating internal motor simulation in response to music stimuli with varying degrees of rhythmic complexity.
• Monstad, Lars L?berg & Lartillot, Olivier (2024). Automated transcription of Hardanger fiddle music: Detecting the notes.
• Lartillot, Olivier (2024). MIRAGE Closing Seminar: Digitisation and computer-aided music analysis of folk music. Show summary

  One aim of the MIRAGE project is to conceive new technologies allowing to better access, understand and appreciate music, with a particular focus on Norwegian folk music. This seminar presents what has been achieved during the four years of the project, leading in particular to the digital version of the Norwegian Catalogue of Folk Music. We are also conceiving tools to automatically transcribe audio recordings of folk music. More advanced musicological applications are discussed as well. To conclude, we introduce the new spinoff project, called muScribe, aimed at the development of transcription services, for a broad range of music, besides folk music, in a first stage tailored to professional organisations such as archives, publishers and producers.

• Lartillot, Olivier (2024). Overview of the MIRAGE project.
• Jensenius, Alexander Refsum (2024). Mock PhD Interview. Show summary

  The objective of the interview mockup is to provide an example of what a PhD interview looks like. We want to provide a safe space to ask questions to an experient interviewer and to understand how to better prepare for the interview if you're applying to PhD positions in other countries. LatAm BISH Bash is a series of meetings and networking events that connect engineers, researchers, students, and companies working on speech, acoustics, and audio processing. This time, we will have a PhD mockup interview conducted by Alexander Jensenius, who is a professor of music technology and Director of RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion.

• Volehaugen, Vegard Akselsson; Leske, Sabine Liliana; Funderud, Ingerid; Carvalho, Vinicius Rezende; Endestad, Tor & Solbakk, Anne-Kristin [Show all 7 contributors for this article] (2024). Unheard Surprises: Attention-Dependent Neocortical Dynamics Following Unexpected Omissions Revealed by Intracranial EEG.
• Nielsen, Nanette & Martin, Remy Richard (2024). Affective framing, care, and (en)action in musical encounters.
• T?rresen, Jim (2024). Ethical and Regulatory Perspectives of Robotics and Automation.
• Jensenius, Alexander Refsum (2024). Some Challenges in Musical Artificial Intelligence. Show summary

  In this presentation, I highlight RITMO's interdisciplinary approach, combining musicology, psychology, and informatics to study rhythm as a fundamental human property. I emphasise the intersection of humans and machines in AI, advocating for a balanced approach that incorporates both rule-based and learning-based systems, especially in music. I also address critical aspects like code sharing, data accessibility (FAIR principles), privacy, copyright, and ethical considerations within the AI landscape. Finally, I call for the development of AI for creative use, considering its impact on knowledge, ethics, and human experience, while also examining policy and societal rights.

• Solbakk, Anne-Kristin & Jensenius, Alexander Refsum (2024). Research Ethics and Legal Perspectives.
• Marin-Bucio, Diego (2024). Aproximaciones a la inteligencia artificial en la creaci¨®n de danza: la IA como herramienta, t¨ªtere o colaborador. Show summary

  This presentation reported the research outcomes of incorporating generative AI in the creation of concert dance, evaluating its role as a tool, puppet, or collaborator. Employing an interdisciplinary theoretical framework encompassing 4E cognition, phenomenology of perception, Actor-network theory and Entrainment theory, human-AI interactions are examined. Ethnographic methodologies and phenomenological analysis reveal power dynamics and modes of creative interrelation in dance creation with AI and other technologies. The results present a taxonomy and conceptual model, highlighting how AI can transcend from a mere creative catalyst to an active agent in producing aesthetic works. This structured approach facilitates the understanding, differentiation and application of emerging technologies in dance, proposing new paradigms for human-machine creative collaboration.

• Leske, Sabine Liliana; Endestad, Tor; Volehaugen, Vegard Akselsson; Foldal, Maja Dyhre; Blenkmann, Alejandro Omar & Solbakk, Anne-Kristin [Show all 7 contributors for this article] (2024). Predicting the Beat Bin: Beta Oscillations Predict the Envelope Sharpness in a Rhythmic Sequence.
• Leske, Sabine Liliana; St?ver, Isak Elling August; Solbakk, Anne-Kristin; Endestad, Tor; Kam, Julia & Grane, Venke Arntsberg (2024). Behavioral and Electrophysiological Markers of Altered Mind Wandering and Sustained Attention in Adult ADHD. Show summary

  Background: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that often persists into adulthood. Difficulties with executive control and sustained attention are key characteristics of the disorder that often lead to thoughts that are unrelated to the current task, i.e., mind wandering. Objective: Investigate behavioral and neurophysiological correlates of sustained attention and mind wandering in adults with ADHD not on medication when examined. Method: Sustained attention and propensity to mind-wander was investigated in ADHD patients (n=17) and in healthy controls (n=17), matched on gender, age, and IQ. Participants performed an auditory oddball task (participant feedback: On or Off Task), which required continuous manual responses to standard and target tones, while Electroencephalography (EEG) was measured. Sustained attentional control was additionally examined with the Test of Variables of Attention (T.O.V.A.). General IQ was estimated with a reduced version of the Wechsler Adult Intelligence Scale, 4th edition (WAIS-IV). Results: ADHD patients reported significantly more episodes of mind wandering (Off Task), exhibited reduced target detection accuracy and more Off Task impulsive responses compared to controls. Patients showed a significantly reduced P300 for the target-standard difference components, for both On and Off Task conditions. This target-standard P300 difference was less modulated between On versus Off Task conditions in patients compared to controls. In the T.O.V.A. test, patients committed significantly more Commission Errors, but did not differ from controls on other variables (Attention Comparison score, Reaction Time variability and latency, Omission Errors). Conclusion: In comparison to controls, patients showed deteriorated behavioral performance, more episodes of mind wandering, and reduced P300 in a sustained attention task. The P300 decrease likely reflects impaired control of attentional resources allocated to the task, which has an impact on high-level cognitive processing abilities, while early sensory-related stimulus processing is intact.

• Nielsen, Nanette (2024). Improvisation as praxis: music as a form-of-life.
• T?rresen, Jim (2024). Invited talk: Sensing and Understanding Humans by a Robot ¨C and vice versa.
• Jensenius, Alexander Refsum & Jemterud, Torkild (2024). Hva er verdens mest klissete substans? [Radio]. NRK P2 - Abels t?rn. Show summary

  Har menneske rytme? Hvorfor l?ter to toner med ulik grunntone forskjellig? Hvorfor grynter pianister?

• Upham, Finn (2024). Heart Rate consistency and Heart Rate Variability constraints in orchestral musicians across performances.
• Br?vig, Ragnhild & Aareskjold-Drecker, Jon Marius (2024). Hey Siri, can you write me a chipmunk soul track? A snapshot of AI tools currently used in music production.
• Vuoskoski, Jonna Katariina (2024). Some of our favourite songs make us sad, which may be why we like them. [Internet]. https://www.newscientist.com/article/2426284-some-of-our-fav.
• Lartillot, Olivier (2024). Harmonizing Tradition with Technology: Enhancing Norwegian Folk Music through Computational Innovation. Show summary

  My work involves developing computational tools to safeguard and elevate the cultural significance of music repertoires, with a focus on a cooperative project with the National Library of Norway related to their collection of Norwegian folk music. Our first phase centered on transforming unstructured audio tapes into a systematic dataset of melodies while ensuring its access and longevity through efficient data management and linking with other catalogues. Our core activity involves transcribing audio recordings into scores, comparing the traditional manual method with our modern attempts towards automation. Providing detailed performance notation, the close alignment between scores and audio recordings will help improve comprehension and overall accessibility, as well as a more advanced structuring of the collection. Challenges arose when incorporating this music into the International Inventory of Musical Sources (RISM) database due to the incompatible 'incipit' concept, unfitting genres like Hardanger fiddle folk music. We suggest innovative generalisations for this concept. Moreover, we're creating techniques to digitally dissect the musical corpus, aiming to extract key features of each tune. This initiative not only serves as an alternative to incipits but also provides novel metadata formats, increasing the usability and connectivity within its content and with other databases.

• Laczko, Balint & Jensenius, Alexander Refsum (2024). Poster for "Synth Maps: Mapping The Non-Proportional Relationships Between Synthesizer Parameters and Synthesized Sound". Show summary

  Parameter Mapping (PM) is probably the most used design approach in sonification. However, the relationship between a synthesizer¡¯s input parameters and the perceptual distribution of its output sounds might not be proportional, limiting its ability to convey relationships within the source data in the sound. This study evaluates a basic Frequency Modulation (FM) synthesis module with perceptually motivated descriptors, measures of spectral energy distribution, and latent embeddings of pre-trained audio representation models. We demonstrate how these metrics do not indicate straightforward relationships between synthesis parameters and perceived sound. This is done using interactive audiovisual scatter plots¡ªSynth Maps¡ªthat can be used to explore the sound distribution of the synthesizer and qualitatively evaluate how well the different representations align with human perception. Link to the code and the interactive Synth Maps are available.

• Jensenius, Alexander Refsum (2024). Sound Actions: Conceptualizing Musical Instruments. Show summary

  El martes 6 de agosto, a las 14:30 horas, se realizar¨¢ la charla "Sound Actions: Conceptualizing Musical Instruments" que impartir¨¢ Alexander Refsum Jensenius, profesor de Tecnolog¨ªa Musical y Director del Centro RITMO para Estudios Interdisciplinarios en Ritmo, Tiempo y Movimiento en la Universidad de Oslo. Alexander Refsum Jensenius es profesor de Tecnolog¨ªa Musical y Director del Centro RITMO para Estudios Interdisciplinarios en Ritmo, Tiempo y Movimiento en la Universidad de Oslo. En la charla, que se realizar¨¢ en idioma ingl¨¦s, el acad¨¦mico presentar¨¢ algunos aspectos destacados de su libro "Sound Actions: Conceptualizing Musical Instruments". Esto incluye una discusi¨®n sobre las diferencias entre los instrumentos ac¨²sticos y electroac¨²sticos y c¨®mo los instrumentos de hoy en d¨ªa no son solo "creadores de sonido", sino que cada vez m¨¢s son "creadores de m¨²sica". Ejemplificar¨¢ este cambio con varios de sus propios nuevos instrumentos para la expresi¨®n musical (NIME).

• D'Amario, Sara & Bishop, Laura (2024). Self-Reported Experiences of Musical Togetherness in Music Ensembles.
• Bravo, Pedro Pablo Lucas (2024). Self-Assembly and Synchronization: Crafting Music with Multi-Agent Embodied Oscillators. Show summary

  This paper proposes a self-assembly algorithm that generates rhythmic music. It uses multiple pulsed oscillators embedded in cube-shaped agents in a virtual 3D space. When these units connect with each other, their oscillators synchronize, triggering regular sound events that produce musical notes whose sound dynamics change based on the size of the structures formed. This study examines the synchronization time of these oscillators and the emergent properties of the structures formed during the algorithm's execution. Moreover, the resulting sound, determined by multiple interactions among agents, is analyzed in the time and frequency domains from its signal. The results show that the synchronization time slightly increases when more agents participate, although with high variability. Also, a quasi-regular pattern of increase and decrease in the number of structures over time is observed. Additionally, the signal analysis illustrates the effect of the self-assembly strategy in terms of rhythmical patterns and sound energy over time. We discuss these results and the potential applications of this multi-agent approach in the sound and music field.

• Blenkmann, Alejandro Omar (2024). Electrophysiological correlates of auditory regularity expectations and violations at short and long temporal scales: Studies in intracranial EEG and prefrontal cortex lesion patients.
• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Llorens, Anais; Lin, Jack J.; Chang, Edward & Brunner, Peter [Show all 12 contributors for this article] (2024). Anatomical registration of intracranial electrodes.
• Glette, Kyrre; Ellefsen, Kai Olav; Norstein, Emma Stensby & Bruin, Ege de (2024). Automatic Design of Robot Bodies and Brains with Evolutionary Algorithms - Tutorial. Show summary

  The evolution of robot bodies and brains allows researchers to investigate which building blocks are interesting for evolving Artificial Life, and how controllers and morphologies can be shaped together for automated robot design. This tutorial aims to introduce evolution of robot body and control, and some of the key challenges one faces when doing experiments in Evolutionary Robotics. These include finding good ways to represent robots (genotypic encodings), challenges related to co-optimizing morphology and control, how environments shape body and control, and selecting the right physical substrate for evolving robots. After introducing these challenges and showing relevant examples from our own and other labs¡¯ research, we will present a short demo of how to run Evolutionary Robotics experiments in practice, with the Unity ML-Agents framework.

• G?ks¨¹l¨¹k, Bilge Serdar; Tidemann, Aleksander & Jensenius, Alexander Refsum (2024). Telematic Testing: One Performance in Three Locations.
• Bravo, Pedro Pablo Lucas (2024). Csound vs. ChucK: Sound Generation for XR Multi-Agent Audio Systems in the Meta Quest 3 using the Unity Game Engine. Show summary

  Extended Reality (XR) technologies, particularly headsets like the Meta Quest 3, are revolutionizing the field of immersive sound and music applications by offering new depths of user experience. As such, the Unity game engine emerges as a preferred platform for building such auditory environments. As part of its capabilities, Unity allows the programming of sound generation through a low-level digital signal processing API, which requires specialized knowledge and significant effort for development. However, wrappers that integrate Unity with programming languages for sound synthesis can facilitate the implementation of this task. In this work, we focus on applications for the Meta Quest 3 involving multiple spatialized audio sources; such applications can be framed as XR multi-agent audio systems. We consider two wrappers, CsoundUnity and Chunity, featuring Csound and ChucK programming languages. We test and analyze these wrappers in a minimal XR application, varying the number of audio sources to measure the performance of both tools in two device environments: the development machine and the Meta Quest 3. We found that CsoundUnity performs better in the headset, but Chunity performs better in the development machine. We discuss the advantages, limitations, and computational issues found on both wrappers, as well as the criteria for choosing them to develop XR multi-agent audio applications in Unity.

• Vrasdonk, Atilla Juliana; Keller, Peter E.; Endestad, Tor & Vuoskoski, Jonna Katariina (2024). The influence of improvisational freedom on flow in flamenco duos.
• Otterdijk, Maria Theodorus Henricus van & Pileberg, Silje (2024). Humans have one characteristic that AI and robots are far from having. [Internet]. Science Norway.
• D'Amario, Sara & Bishop, Laura (2024). Self-Reported Experiences of Musical Togetherness in Music Ensembles.
• Bravo, Pedro Pablo Lucas (2024). Interactive Sonification of 3D Swarmalators. Show summary

  This paper explores the sound and music possibilities obtained from the sonification of a swarm of coupled oscillators moving in a virtual space called "Swarmalators". We describe the design and implementation of a Human-Swarm Interactive Music System based on the 3D version of the Swarmalator model, which is used for signal analysis of the overall sound output in terms of scalability; that is, the effect of varying the number of agents in a swarm system. We also study the behaviour of autonomous swarmalators in the presence of one user-controlled agent, which we call the interactive swarmalator. We observed that sound frequencies barely deviate from their initial values when there are few agents, but they diverge significantly in a highly dense swarm. Additionally, with the inclusion of the interactive swarmalator, the group's behaviour tends to adjust towards it. We use these results to explore the potential of swarmalators in music performance under various scenarios. Finally, we discuss opportunities and challenges to use the Swarmalator model for sound and music systems.

• D'Amario, Sara (2024). Cardiac coupling of orchestral musicians and audience members during orchestra performances.
• Jensenius, Alexander Refsum; Vo, Synne; Kelkar, Tejaswinee & Kjus, Yngvar (2024). Musikksnakk: Musikk p? Spotify - hvordan funker algoritmene? Show summary

  Hvorfor er det slik at plateselskaper ?nsker at artister skal lage TikTok?er for ? promotere musikken sin? Hva bestemmer hvilke musikkanbefalinger du f?r i Spotify? Og hvordan bruker plateselskapene dataene dine til ? generere klikk og lytt? Bli med p? en samtale om algoritmer p? apper som TikTok og Spotify - og hvordan de p?virker musikksmaken din! Til ? diskutere dette kommer: - Synne Vo. Hun er en artist som slo igjennom p? TikTok, og bruker plattformen aktivt for ? promotere musikken sin. Hun kommer til panelet for ? dele sine erfaringer med bransjen og appene. - Yngvar Kjus. Han er professor i musikk og medier p? UiO, og har forsket mye p? popul?rmusikk, musikkproduksjon og musikkbransjen. - Tejaswinee Kelkar. Hun er er en sanger og forsker innen musikk og bevegelse. Hun har tidligere jobbet som dataanalytiker i Universal Music Norway og ved RITMO Center of Excellence ved Universitetet i Oslo. Samtalen ledes av Alexander Refsum Jensenius. Han er professor i musikk ved Universitetet i Oslo, og leder av RITMO - Senter for tverrfaglig forskning p? rytme, tid og bevegelse. Han pr?ver hele tiden ? forst? mer om hvordan og hvorfor mennesker beveger seg til musikk.

• Danielsen, Anne (2024). There¡¯s more to timing than time: P-centers, beat bins and groove in musical microrhythm. Show summary

  How does the dynamic shape of a sound affect its perceived microtiming? In the TIME project, we studied basic aspects of musical microrhythm, exploring both stimulus features and the participants¡¯ enculturated expertise via perception experiments, observational studies of how musicians produce particular microrhythms, and ethnographic studies of musicians¡¯ descriptions of microrhythm. Collectively, we show that altering the microstructure of a sound (¡°what¡± the sound is) changes its perceived temporal location (¡°when¡± it occurs). Specifically, there are systematic effects of core acoustic factors (duration, attack) on perceived timing. Microrhythmic features in longer and more complex sounds can also give rise to different perceptions of the same sound. Our results shed light on conflicting results regarding the effect of microtiming on the ¡°grooviness¡± of a rhythm.

• Glette, Kyrre (2024). Evolution of morphology and control - from simulation to reality.
• Jensenius, Alexander Refsum (2024). Interdisiplin?ritet - et musikkperspektiv. Show summary

  Skal snakke om skj?ringspunktet mellom psykologi, informatikk og musikk og arbeidet som foreg?r p? instituttet han leder: RITMO, Senter for Interdisiplin?re studier i rytme, tid og bevegelse ved Universitetet i Oslo. Alexander er b?de forsker og musiker. Han har en sammensatt bakgrunn best?ende av musikk, informatikk, fysikk og matematikk og hans praktisk rettede forskning har bredt nedslagsfelt. Digitale verkt?y som har blitt utviklet ved RITMO blir n? ogs? brukt innen medisinsk forskning p? ADHD og Cerebral Parese.

• Laczko, Balint (2024). Two-part guest lecture about spatial audio and Ambisonics for MCT students.
• Blenkmann, Alejandro Omar (2024). Audiopred Project: Neurophysiological mechanisms of auditory predictions.
• Karbasi, Seyed Mojtaba; Pileberg, Silje & Jensenius, Alexander Refsum (2024). A newly developed robot can play the drums, listen, and learn. [Internet]. Science Norway.
• Jensenius, Alexander Refsum (2024). 20 Years of Piano Research at the University of Oslo. Show summary

  In this lecture-recital, I will present piano-related research from the Department of Musicology over the last twenty years. I will also reflect on my role in this history, both as an artist and scientist. Finally, I will scrutinize the department's new Disklavier while performing various exploratory etudes.

• T?rresen, Jim (2024). Invited talk: Interdisciplinary AI and robotics research spanning from psychology to law.
• Jensenius, Alexander Refsum (2024). NOR-CAM as an enabler for flexible academic career paths in and out of Norway. Show summary

  Dette webinaret er det fjerde i rekka og vil handla om forslaget om attraktive karrierar i akademia. Europakommisjonen sitt utgangspunkt er at internasjonalt utdannings澳门葡京手机版app下载 og kvalitetsutvikling i h?gare utdanning ikkje blir st?tta og verdsett i s? stor grad som naudsynt i dei akademiske karrierane, og at dette er eit hinder for utvikling av europeisk h?gare utdanning. Kva inneber dette forslaget, og korleis ser det ut fr? perspektivet til europeiske og norske universitet? Korleis heng den europeiske prosessen for utvikling av akademiske karrierar saman med det som skjer i Noreg?

• Jensenius, Alexander Refsum (2024). Musikk og kunstig intelligens.
• Jensenius, Alexander Refsum (2024). Mock PhD Interview. Show summary

  The objective of the interview mockup is to provide an example of what a PhD interview looks like. We want to provide a safe space to ask questions to an experient interviewer and to understand how to better prepare for the interview if you're applying to PhD positions in other countries.

• Danielsen, Anne (2024). There¡¯s more to timing than time: shaping microrhythm in groove-based music.
• Jensenius, Alexander Refsum (2024). Tverr faglighet? Muligheter og utfordringer med fler- og tverrfaglighet. Show summary

  Tverrfaglighet nevnes gjerne i festtaler og s?knadstekster, men hvordan er virkeligheten? I denne presentasjonen vil professor Alexander Refsum Jensenius diskutere egne erfaringer med fler- og tverrfaglige forskningsprosjekter. Han vil ogs? presentere hvordan RITMO jobber med ? utvikle en forskningskultur og prosjekts?knader p? kryss og tvers av gjeldende fagdisipliner.

• Jensenius, Alexander Refsum & Bochynska, Agata (2024). Opphavsrettslige utfordringer ved overgangen til FAIR forskningsdata ved UiO.
• Jensenius, Alexander Refsum (2024). Hjernen i sentrum: Kunst. Show summary

  Hvorfor er noen musikalske og andre ikke? Hvordan har det seg at kunst kan treffe oss s? voldsomt - og s? ulikt! Ulike kunstneriske uttrykk som musikk, malerkunst, litteratur, dans og teater kommer uten fasit og tolkes vidt forskjellig fra person til person. Er det hjernen som styrer dette? Det er ?penbart at hjernen v?r er aktiv og ikke passiv n?r vi opplever kunst. Hvorfor er det s?nn? Gir kunstneriske opplevelser god hjernetrim? Er kunst viktig for hjernehelsen?

• Jensenius, Alexander Refsum (2024). Vurderinger i akademiske karrierel?p. Show summary

  UHRs arbeidsgruppe for ?pen vurdering utarbeidet i 2021 en veileder for vurdering i akademiske karrierel?p ¨C NOR-CAM. Det finnes ogs? andre initiativer for vurdering av akademiske karrierer, deriblant det europeiske Coalition for Advancing Research Assessment (CoARA). Men hva er verdien av disse vurderingsveilederne? Hvem er de for og hva er de ment ? f? til? Og hvilke vurderingsveiledere er det som blir viktig i tiden som kommer?

• Jensenius, Alexander Refsum (2024). MusicLab as an Open Science innovation project between a research centre and the University library.
• Jensenius, Alexander Refsum (2024). Fostering the emergence of new research data careers. Show summary

  Equipping future graduates, researchers, and society at large with the skills needed to support the digital transition is becoming a priority on European, national, and institutional agendas. Research data management (RDM) and FAIR data are part of this skillset, and research data careers are increasingly in demand in both the public and private sectors. At organisational level, the availability of staff with data competencies is crucial to support the implementation of FAIR RDM practices and, ultimately, to foster the transition towards Open Science. Data collected by the European University Association show for example how universities are creating dedicated research data support services and hiring specific support staff, but significant disparities exist between countries and institutions. RDM responsibilities still fall to existing members of staff. In many cases, technical skills are only partially available and new dedicated staff is required. Universities who have hired specific research data support roles may still have problems meeting the growing demand for research data expertise. Within this context, a major challenge is represented by the absence of a shared recognition and definition of research management professional profiles, despite recent progress being made at European level through ERA Action 17 on research management. This session will address needs, challenges and opportunities related to the emergence of new research data careers, including the identification of key skills, clear career paths and their integration into research assessment systems. It will do so by showcasing best practices and reflecting on ways forward with a panel of experts representing different actors, i.e. university leaders, research data practitioners and policymakers.

• Jensenius, Alexander Refsum; S?rb?, Solveig & Bergstr?m, Rebecca Josefine Five (2024). ?ndsverk, ?penhet, kunstnerisk forskning og forskningsbasert kunst: Erfaringer med MusicLab.
• Jensenius, Alexander Refsum (2024). Interdisciplinarity.
• Jensenius, Alexander Refsum (2024). Musikk, Data og KI. Show summary

  Musikk er en av de mest komplekse menneskelige kommunikasjonsformene som finnes og egner seg derfor godt for ? utforske kunstig intelligens. Presentasjonen beskriver hvordan musikkforskere, psykologer og informatikere jobber sammen ved RITMO for ? forst? mer om rytme, tid og bevegelse hos mennesker og maskiner.

• J¨®nsson, Bj?rn Th¨®r; Erdem, Cagri; Fasciani, Stefano & Glette, Kyrre (2024). Cultivating Open-Earedness with Sound Objects discovered by Open-Ended Evolutionary Systems. Show summary

  Interaction with generative systems can face the choice of generalising towards a middle ground or diverging towards novelty. Efforts have been made in the domain of sounds to enable divergent exploration in search of interesting discoveries. Those efforts have been confined by pre-trained models and single environments. We are building on those efforts to enable autonomous discovery of sonic landscapes. Furthermore, we draw inspiration from research on open-ended evolution to continuously provide evolutionary processes with new opportunities for sonic discoveries. Exposure to autonomously discovered sound objects can elevate openness to sonic experiences, which in turn offers inspiring opportunities for creative work involving sounds.

• Abrahamsson, Liv Merve Akca; Bishop, Laura; Vuoskoski, Jonna Katariina & Laeng, Bruno (2024). Are human voices ¡®special¡¯ in the way we attend to them?
• Nordg?rd, Daniel; Danielsen, Anne; Eriksen, Torun; Antonsen, Ole Henrik & Kolst?, Hanne (2024). Musikk og teknologi: venn eller fiende?
• Danielsen, Anne (2024). Musikalsk rytme, rytmeforskning og hva den kan brukes til.
• God?y, Rolf Inge (2024). Motormimetic cognition of sound-motion objects in music. Show summary

  Motormimetic cognition of sound-motion objects in music The focus in my talk is on how experiences of body motion contribute to listeners¡¯ perception of meaning in music. The term ¡®meaning¡¯ can here be understood as sensations of distinct and significant events evoked in our minds in listening to (or imagining) music, events that may range from the unremarkable and immediately forgotten everyday happenings to the highly remarkable and engaging, i.e. extending from basic sound features (e.g. identifying a sound as made by strumming on a guitar) to high-level affective and/or narrative associations (e.g. identifying a sound made on a guitar as the James Bond chord). However, the ambition of this talk is limited to some basic features of meaning perception, and to fragments of music in the approximately 0.5 to 5 seconds duration range, to what we call sound-motion objects, and correlated motor sensations in this perceptual process, what we call motormimetic cognition. The duration range of sound-motion objects is optimal for focus on significant features such as overall ¡®sound¡¯, style, sense of motion and affect, and is a compromise between local and more global occurrences of meaning in music. There can be little doubt that music can make listeners move, or evoke motion sensations in the minds of listeners. In the past couple of decades, we have seen a surge of publications on music-related body motion, predominantly on whole-body motion such as in dance, walking, and sports, as well as on musicians¡¯ communicative motion, but less on the smaller-scale sound-producing effector motion, e.g. that of fingers, hands, arms, and the vocal apparatus, in various contexts of performance, of expressivity, and of articulation. The contention in this talk is that such smaller-scale sound-producing effector motion is not only crucial in shaping the output sound, but is actually integral to our perceptions of music, and hence, focusing on such motion could help us understand some basic workings of meaning formation in music. We may call the approach presented here concrete in the sense of focusing on actual sound-producing motion and on actual resultant output sound features, rather than on the abstract Western music notation concepts. The inherited notation-oriented conceptual apparatus posits discrete pitches and durations as the point of departure for meaning formation, whereas the motormimetic approach posits the more holistic sound-producing motion and the resultant holistic sound events as primordial. It means that any sound event will be embedded in some sound-producing motion trajectory, and also that such motion trajectories are integral to our images of the music (e.g. hearing a ferocious drum fill evoking imagery of energetic hand and mallet motion, or hearing soft and slow string music evoking imagery of slow bow motion). Using available technologies and methods for motion capture, motion analysis, and motion features representation, as well as means for analysis and representation of continuous, non-symbolic sound features, it is now possible to gain more detail knowledge of the relationships between sound-producing motion and salient perceptual features of both sound and motion. It is also possible to make holistic representations of temporally distributed features such as dynamic, timbral, pitch-related, textural, and articulatory features as shapes, given the fact that shapes are holistic and concrete, whereas symbols are punctual and abstract.

• Jensenius, Alexander Refsum (2024). Musikk og kunstig intelligens.
• Br?vig, Ragnhild & Stevenson, Alex (2024). Performing Experimental Hip-Hop: Abstract Orchestra's Cover of Madvillain's "Meat Grinder".
• Br?vig, Ragnhild (2024). Boklansering: Parody in the Age of Remix: Mashups vs. the Takedown (MIT Press).
• Br?vig, Ragnhild (2024). Boklansering: Parody in the Age of Remix: Mashups vs. the Takedown (MIT Press).
• Christodoulou, Anna-Maria; Dutta, Sagar; Lartillot, Olivier; Glette, Kyrre & Jensenius, Alexander Refsum (2024). Exploring Convolutional Neural Network Models for Multimodal Classification of Expressive Piano Performance.
• Christodoulou, Anna-Maria & Jensenius, Alexander Refsum (2024). Navigating Challenges in Multimodal Music Data Management for AI Systems. Show summary

  The responsible management of multimodal music datasets plays a crucial role in the development and evaluation of music processing systems. However, navigating the landscape of legal and ethical considerations can be a complex and challenging task due to the magnitude and diversity of such. This paper clarifies these divergent legal and ethical considerations and highlights the challenges associated with multimodality and AI systems. Focusing on the most crucial stages of multimodal music data management, we provide recommendations for tackling legal and ethical challenges. We emphasize the importance of establishing an inclusive and accessible music data environment, encouraging researchers and data users to adopt responsible approaches towards managing multimodal music data collections.

• Bishop, Laura & D'Amario, Sara (2024). Methods tracking four-hand piano performances.
• Bishop, Laura & Kwak, Dongho (2024). Ignoring a noisy metronome during dyadic drumming.
• Jensenius, Alexander Refsum (2023). Wishful thinking about CVs: Perspectives from a researcher.
• Jensenius, Alexander Refsum (2023). Sound Actions: An Embodied approach to a Digital Organology. Show summary

  What is an instrument in our increasingly electrified world? In this talk I will present a set of theoretical building blocks from my forthcoming book on "musicking in an electronic world". At the core of the argument is the observation that the introduction of new music technologies has led to an increased separation between action and sound in musical performance. This has happened gradually, with pianos and organs being important early examples of instruments that introduced mechanical components between the performer and resonating objects. Today's network-based instruments represent an extreme case of a spatiotemporal dislocation between action and sound. They challenge our ideas of what an instrument can be, who can perform on them, and how they should be analyzed. In the lecture I will explain how we can use the concepts of action-sound couplings and mappings to structure our thinking about such instruments. This will be used at the heart of a new organology that embraces the qualities of both acoustic and electroacoustic instruments.

• Jensenius, Alexander Refsum (2023). Conceptualizing Musical Instruments. Show summary

  What is an instrument in our increasingly electrified world? In this talk I will present a set of theoretical building blocks from my recent book "Sound Actions". At the core of the argument is the observation that the introduction of new music technologies has led to an increased separation between action and sound in musical performance. This has happened gradually, with pianos and organs being important early examples of instruments that introduced mechanical components between the performer and resonating objects. Today's network-based instruments represent an extreme case of a spatiotemporal dislocation between action and sound. They challenge our ideas of what an instrument can be, who can perform on them, and how they should be analyzed. In the lecture I will explain how we can use the concepts of action-sound couplings and mappings to structure our thinking about such instruments.

• Jensenius, Alexander Refsum (2023). Career Assessment Matrix in Norway and how to adapt your CV to OS practices. Show summary

  The Norwegian Career Assessment Matrix (NOR-CAM) is a toolbox for recognition and rewards in academic careers.

• Jensenius, Alexander Refsum (2023). Explorations of human micromotion through standing still. Show summary

  Throughout 2023, I will stand still for ten minutes around noon every day, in a different room each day. The aim is to collect data about my micromotion and compare it to the qualities of the environment. This project follows a decade-long exploration of human micromotion from both artistic and scientific perspectives. In the talk, I will present results from the annual Norwegian Championships of Standstill, where we have studied the influence of music on people's micromotion. I will also talk about how micromotion can be used in interactive music systems, allowing for conscious and unconscious control of musical sounds.

• Jensenius, Alexander Refsum (2023). Conceptualizing Musical Instruments. Show summary

  What is an instrument in our increasingly electrified world? In this talk I will present a set of theoretical building blocks from my forthcoming book on "musicking in an electronic world". At the core of the argument is the observation that the introduction of new music technologies has led to an increased separation between action and sound in musical performance. This has happened gradually, with pianos and organs being important early examples of instruments that introduced mechanical components between the performer and resonating objects. Today's network-based instruments represent an extreme case of a spatiotemporal dislocation between action and sound. They challenge our ideas of what an instrument can be, who can perform on them, and how they should be analyzed. In the lecture I will explain how we can use the concepts of action-sound couplings and mappings to structure our thinking about such instruments. This will be used at the heart of a new organology that embraces the qualities of both acoustic and electroacoustic instruments.

• Jensenius, Alexander Refsum (2023). Sound Actions: Conceptualizing Musical Instruments. Show summary

  How do new technologies change how we perform and perceive music? What happens when composers build instruments, performers write code, perceivers become producers, and instruments play themselves? These are questions addressed in the new book by Professor Alexander Refsum Jensenius: Sound Actions: Conceptualizing Musical Instruments published by the MIT Press.

• Jensenius, Alexander Refsum (2023). Explorations of human micromotion through standing still. Show summary

  Throughout 2023, I will stand still for ten minutes around noon every day, in a different room each day. The aim is to collect data about my micromotion and compare it to the qualities of the environment. This project follows a decade-long exploration of human micromotion from both artistic and scientific perspectives. In the talk, I will present results from the annual Norwegian Championships of Standstill, where we have studied the influence of music on people's micromotion. I will also talk about how micromotion can be used in interactive music systems, allowing for conscious and unconscious control of musical sounds.

• Jensenius, Alexander Refsum (2023). Sound Actions - Conceptualizing Musical Instruments.
• Danielsen, Anne; Br?vig, Ragnhild; C?mara, Guilherme Schmidt; Haugen, Mari Romarheim; Johansson, Mats Sigvard & London, Justin (2023). There¡¯s more to timing than time: Investigating sound¨Ctiming interaction across disciplines and cultures.
• Jensenius, Alexander Refsum & Hagen, Knut-?yvind (2023). Stoler du p? stemmer? Det m? du slutte med. N? kan kunstig intelligens f? hvem som helst til ? si hva som helst. [Radio]. NRK P1 - Ukeslutt.
• Jensenius, Alexander Refsum (2023). Forskarperspektivet. Show summary

  Denne hausten har Utkast til strategi for norsk vitenskapelig publisering etter 2024 vore ute til h?yring. Strategien skildrar tilr?dingar til b?de forskarar, forskingsutf?rande institusjonar, forskingsfinansi?rar og myndigheiter. I dette seminaret inviterer vi ein av dei som har utarbeidd strategien, Vidar R?eggen fr? Universitets- og H?gskoler?det, til ? fortelje om arbeidet med rapporten, innspel som har komme inn og korleis han ser for seg det framtidige publiseringslandskapet. Deretter g?r ordet til Alexander Jensenius (UiO, NOR-CAM), Johanne Raade (UiT) og Marte Qvenild (NFR), til ? diskutere korleis dei ser framtida for open publisering etter 2024, fr? perspektivet til ein forskar, institusjon og finansi?r, h?vesvis. Ser dei andre utfordringar enn dei som er fors?kt m?tt i den nye strategien?

• Br?vig, Ragnhild (2023). Digitalisering i musikkutdanningen.
• Br?vig, Ragnhild & Furunes, Marit Johanne (2023). Karrierel?psprogrammet p? RITMO med mentorordning.
• Jensenius, Alexander Refsum (2023). Exploring Human Micromotion Through Standing Still. Show summary

  Moving slowly likely puts us into a special state of mind. Subjective reports from various practices including dance, Tai Chi and walking meditation suggest that slow movements can bring participants into a special state involving increased relaxation and awareness. Interestingly, relatively little research has been performed specifically to understand the underlying mechanisms and the possible applications of human slow movement. One reason might be that slow movements are not common in day-to-day life: when we want to move ¨C for example to pick up our cup of coffee - we usually want to do it now. Some evidence suggests that humans tend to avoid moving slowly in different tasks, for example, when improvising movements together. The goal of this meeting is to bring together scholars and practitioners interested in slow movement, and to foster interdisciplinary research on this somewhat neglected topic.

• Jensenius, Alexander Refsum (2023). Tverrfaglig forskning p? rytme, tid og bevegelse. Show summary

  RITMO er et unikt SFF p? grunn av sin radikalt tverrfaglige oppbygning. Hvordan fungerer det i praksis?

• Asko, Olgerta; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Meling, Torstein Ragnar; Knight, Robert T. & Endestad, Tor [Show all 7 contributors for this article] (2023). The orbitofrontal cortex (OFC) has a critical role in the generation of high-level expectations.
• Br?vig, Ragnhild (2023). My way to becoming a full professor.
• Br?vig, Ragnhild (2023). Crises affecting the economy, production, and consumption of music: Perspectives from remixers.
• Br?vig, Ragnhild (2023). Presentation of the book Parody in the Age of Remix.
• Br?vig, Ragnhild & Stevenson, Alex (2023). Machine Aesthetics: An Analytical Framework.
• Br?vig, Ragnhild (2023). Crisis in the Flow of Remixes and in the Maintenance of Copyright Exceptions.
• Br?vig, Ragnhild (2023). Users¡¯ Freedom of Expression in the Digital Era.
• Br?vig, Ragnhild (2023). You¡¯re not supposed to sample and rely on copyright exceptions.
• Br?vig, Ragnhild (2023). Publishing Panel (on the publishing of Parody in the Age of Remix).
• Br?vig, Ragnhild (2023). Wakeful Sleep and Sleepy wakefulness in EDM.
• Danielsen, Anne (2023). Ain¡¯t that a groove! Musicological, philosophical and psychological perspectives on groove (keynote). Show summary

  The notion of groove is key to both musicians¡¯ and academics¡¯ discourses on musical rhythm. In this keynote, I will present groove¡¯s historical grounding in African American musical practices and explore its current implications by addressing three distinct understandings of groove: as pattern and performance; as pleasure and ¡°wanting to move¡±; and as a state of being. I will point out some musical features that seem to be shared among a wide range of groove-based styles, including syncopation and counterrhythm, swing and subdivision, and microrhythmic qualities. Ultimately, I will look at the ways in which the groove experience has been approached in different disciplines, drawing on examples from musicology / ethnomusicology, philosophy, psychology and neuroscience.

• Riaz, Maham (2023). Sound Design in Unity: Immersive Audio for Virtual Reality Storytelling. Show summary

  Research talk on sound design for games and immersive environments. The Unity game engine is used for environmental modeling. The Oculus Spatializer plugin provides control over binaural spatialization with native head related transfer functions (HRTF). Game scenes included C# scripts, which accounted for intermittent emitters (randomly triggered sounds of nature, critters and birds), crossfades, occlusion and raycasting. In the mixing stage, mixer groups, mixer snapshsots, snapshot triggers, SFX reverb sends, and low/high-pass filters were some of the tools demonstrated.

• Swarbrick, Dana (2023). Les Effets du Musique sur Grimper.
• Upham, Finn (2023). Using Metrically-entrained Tapping to Align Mobile phone sensor measurements from In-person and Livestream Concert Attendees. Show summary

  Music is often made and enjoyed in large groups, but simultaneously capturing measurements from dozens or hundreds of people is technically difficult. When measurements are not constrained to wired or continuous connected wireless systems, we can record much bigger groups, potentially taking advantage of the wearable sensors in our phones, watches, and more dedicated devices. However, aligning measurements captured by independent devices is not always possible, particularly to a precision relevant for music research. Phone clocks differ and update sporadically, wearable device clocks drift, and for online broadcast performances, exposure times can vary by tens of seconds across the remote audience. Many measurement devices that are not open to digital synchronisation triggers still include accelerometers; with a suitable protocol, participant movement can be used to imbed synchronisation cues in accelerometry measurements for alignment regardless of clock times. In this paper, we present a tapping synchronisation protocol that has been used to align measurements from phones worn by audience members and a variety sensors worn by a symphony orchestra. Alignment with the embedded cues demonstrate the necessity of such a protocol, correcting offsets of more than 700 ms for devices supposedly initialised with the same computer clock, and over 10 s for online audience participants. Audience tapping performance improved cell phone measurement alignment to a median of 100 ms offset, and professional musicians tappings improved alignment precision to around 40 ms. While the temporal precision achieved with entrained tapping is not quite good enough for some types of analyses, this improvement over uncorrected measurements opens a new range of group coordination measurement and analysis options.

• Swarbrick, Dana (2023). The Effects of Music on Climbing.
• Danielsen, Anne (2023). Decolonizing groove (panel discussion).
• Monstad, Lars L?berg (2023). Kunstig Intelligens i kunst og kultur. [TV]. NRK Dagsrevyen.
• Monstad, Lars L?berg; Larsen, Borgan Silje & Vegard, Waske (2023). AI i musikken: konsekvenser og muligheter.
• Glette, Kyrre (2023). Adaptive robots through evolutionary algorithms and machine learning.
• Blenkmann, Alejandro Omar & Agrawal, Rahul Omprakash (2023). Intracranial Electrode Localization workshop.
• Upham, Finn (2023). Breathing Together in Music, a RESPY Workshop. Show summary

  Respiration is a subtle but inescapable element of real time musical experiences, sometimes casually accompanying whatever we are hearing, other times directly involved in the actions of sound generation. This workshop explores respiratory coordination in music listeners and ensemble musicians with respy, a new python library for evaluating respiration information from single belt chest stretch recordings. Following an introduction to the human respiratory system and breathing in music, the workshop demonstrates how the respy algorithms evaluate phase and breath type, and presents statistical tools for assessing shared information in these features of people listening to or making music together. Rather than only use aggregate statistics such as respiration rate, respy aims to elevate the details of the respiratory sequence to facilitate our exploration of how breathing is involved in musical experiences, second-by-second. Measurable coordination of the respiratory system to musical activities challenges our expectations for interacting oscillatory systems. This session will conclude with a discussion on the different categories of relationships possible between people breathing together in music.

• Upham, Finn & Oddekalv, Kjell Andreas (2023). Fingers and Tongues: Appreciating Rap Flows through Proprioceptive Interaction in Rhythm Hive. Show summary

  Rhythm games have been studied for their potential to develop interest in music making (Cassidy and Paisley, 2013) and transferable musicianship skills (Richardson and Kim, 2011), but how might they influence players appreciation for specific musical works? Proprioceptive interaction, a concept by game designer Matt Bloch (Miller, 2017), refers to changes in a game player's perception of music as they practice specific movements to it. By drawing attention to coincidental sounds, players can develop their hearing and appreciation for nuances of production and performance. Many fans of rap enjoy performances in languages they do not speak themselves. Without specific language skills, expertise in rap performance, and/or time to learn lyrics phonetically, their experience of a rap flow is hampered by an inability to imitate and imagine the generative action of performance. Rhythm Hive is a mobile rhythm game based on the music of BTS, Enhyphen, and TXT, Kpop groups with substantial followings outside of Korea. Game play presents players with finger choreographies to these groups¡¯ hit songs, tapping sequences to the vocal performances across four to seven positions in a line. For these groups¡¯ many non-rapping and non- Korean-speaking fans, playing Rhythm Hive may offer deeper understanding of performances by rappers like RM, Suga, and J-Hope. Through expert analysis of rap performance, transcriptions of game play, and reflections on the experience of playing Rhythm Hive, we consider shared structure between the prescribed finger choreographies and the rap flows they accompany. We studied rap verses from four BTS songs along side their Easy and Hard level tapping sequences (vocal versions only) to identify parallels in rhythm, segmentation, repetition, and accents. Easy mode choreographies tend to mark their relationship to rap vocals by hitting the start of lines and then articulating structure with repeated contours tapped on quarter and eighth notes. Hard mode choreographies tend to hit every rapped syllable and incorporate more gestural flourishes to mark pitch changes, ending and internal rhymes, and interesting breaks from a steady 16th note flow. Both Easy and Hard tappings sequences consistently follow the rap track when it deviates from a quantized beat. The finger choreographies of Rhythm Hive illuminate rap performances by directing and rewarding players¡¯ attention to details of flows that may otherwise be missed. Game feedback pushes players to replicate delivery microtiming, while spatial patterns underline linguistic and rhythmic structure. Hard mode tapping sequences articulate distinguishing characteristics of specific rap styles, given players tangible sensitivity to degrees of technicality and nuances of genre. While fans may be motivated to play rhythm games like Rhythm Hive out of a preexisting love of the music and bands, tapping along offers them a chance to attend to, appreciate, and even rehearse key aspects of these rappers¡¯ expert performance choices, regardless of how well they might follow by ear.

• Ellefsen, Kai Olav (2023). Hva er Kunstig Intelligens?
• Bernhardt, Emil (2023). Hva er musikk?
• C?mara, Guilherme Schmidt; Spiech, Connor & Danielsen, Anne (2023). To asynchrony and beyond: In search of more ecological perceptual heuristics for microrhythmic structures in groove-based music. Show summary

  There is currently a gap in rhythm and timing research regarding how we perceive complex acoustic stimuli in musical contexts. Many studies have investigated timing acuity in non-musical contexts involving simple rhythmic sequences comprised of clicks or sine waves. However, the extent to which these results transfer to our perception of microrhythmic nuances in multilayered musical contexts rife with complex instrumental sounds remains poorly understood. In this talk we will present an overview of a planned series of just-noticeable difference (JND) experiments that will generate ecologically valid perceptual heuristics regarding timing discrimination thresholds. The aim is to investigate the extent to which microrhythmic timing and sonic nuances are perceived in groove-based music and connect these heuristics to the pleasurable urge to move in groove-based contexts, as well as acoustic (e.g., intensity, duration, frequency) and musical features (e.g., tempo, genre), and listener factors (e.g. musical training, stylistic familiarity). Overall, we expect timing thresholds to be higher for polyphonic/musical than for monotonic/non-musical stimuli/contexts and higher for pulse attribution (whether one can perceive a ¡°beat¡±; Madison & Merker 2002, Psychol Res) than for simple detection of asynchrony and anisochrony (whether one can perceive ¡°rhythmic irregularities¡±). Thresholds will likely be modulated by intensity (Goebl & Parncutt 2002, ICMPC7), tempo (Friberg & Sundberg 1995, J Acous Soc Am), instrumentation (Danielsen et al. 2019, J Exp Psychol), and genre/stylistic conventions (C?mara & Danielsen 2019, Oxford). Musically trained/stylistically familiar listeners may also display style-typical sensitivity to microrhythmic manipulations (Danielsen et al. 2021 Atten Percept Psychophys; Jakubowski et al. 2022; Cogn). In terms of subjective experience, we expect that onset asynchrony exaggerations will likely elicit lower pleasure and movement ratings compared to performances with idiomatic timing profiles (Senn et al. 2018, PLoS One). Higher ratings should also be biased in favor of familiar styles (Senn et al. 2021) and rhythmic patterns that do not engender excessive metrical ambiguity are likely to elicit higher ratings (Spiech et al. 2022, preprint; Witek et al. 2014, PLoS One).

• Upham, Finn & Christophersen, Bj?rn Morten (2023). Bodies in Concert: RITMO project with the Stavanger symfoniorkester.
• Ellefsen, Kai Olav (2023). Evolutionary Robotics.
• Jensenius, Alexander Refsum & Tytko, James (2023). Emerging tech creates music from dance movements. [Internet]. The Naked Scientists. Show summary

  Listen to the melodies composed with the help of motion capture body suits...

• Upham, Finn (2023). Insight into human respiration through the study of orchestras and audiences.
• Bishop, Laura & Upham, Finn (2023). Bodies in Concert. Show summary

  Increasingly, research on music performance is moving out of controlled laboratory settings and into concert halls, where there are opportunities to explore how performance unfolds in high-arousal conditions and how performers and audiences interact. In this session, we will present findings from a series of live research concerts that we carried out with the Stavanger Symphony Orchestra. The orchestra performed the same program of classical repertoire for four audiences of schoolchildren and an audience of families. Orchestra members wore sensors that collected cardiac activity, respiration, and body motion data, and the conductor additionally wore a full-body motion capture suit and eye-tracking glasses. Audience members in some of the concerts were invited to wear reflective wristbands, and wristband motion was captured using infrared video recording. We will begin the session with a discussion of the scientific and methodological challenges that arose during the project, in particular relating to the large scale of data capture (>50 musicians and hundreds of audience members), the visible nature of research that is carried out on a concert stage, and the development of procedures for aligning data from different recording modalities. Next, we will present findings from two lines of analysis that investigate different aspects of behavioural and physiological coordination within the orchestra. One analysis investigates the effects of audience noise and musical roles on coherence in (i) cardiac rate and variability and (ii) respiratory phase and rate. The second analysis investigates the effects of musical demands on synchronization of body sway, bowing, and respiration in string sections. We will conclude the session with an open discussion of how live concert research might be optimized.

• Lartillot, Olivier & Sudo, Marina (2025). AcousMuScope: Users' Guide. Universitetet i Oslo. doi: https:/www.uio.no/ritmo/english/projects/mirage/software/AcousMuScope/index.html. Show summary

  AcousMuScope is a new software for music analysis of audio recordings, focusing on the graphical interface to browse into the analyses.

• Lindblom, Diana Saplacan; T?rresen, Jim & Hakimi, Nina (2024). Dynamic Dimensions of Safety - How robot height and velocity affect human-robot interaction: An explorative study on the concept of perceived safety. University of Oslo.
• Upham, Finn (2024). Peer Review Report For: Is Taylor Swift leading a new Pop revolution? A cross-generation analysis of Pop/Rock cover songs [version 3; peer review: 1 approved with reservations, 3 not approved]. Taylor & Francis Group. Show summary

  Open review of an study on patterns in cover songs reported in the website SecondHandSongs. Review covers he contemporary cultural context of cover songs and the structure of this database, its linguistic, geographic, legal, and technical biases in this database, besides making specific recommendations for the paper.

• Joachimiak, Grzegorz; Ahrendt, Rebekah & Lartillot, Olivier (2024). Endangered Musical Sources: Strategies for Safeguarding, Digitization, and International Collaboration. Report of Working Group 2 SOURCES, Wroc?aw, 22¨C24 May 2024. Zenodo.
• Lindblom, Diana Saplacan; T?rresen, Jim & Meijer, Frida (2023). In Safe Hands: Contribution of gripper material on HRI and perceived safety: An explorative study. University of Oslo.
• Kocan, Danielius & Ellefsen, Kai Olav (2023). Attention-Guided Explainable Reinforcement Learning: Key State Memorization and Experience-Based Prediction. Universitetet i Oslo.
• Taye, Eyosiyas Bisrat & Ellefsen, Kai Olav (2023). Accountability Module: Increasing Trust in Reinforcement Learning Agents. Universitetet i Oslo. Show summary

  Artificial Intelligence requires trust to be fully utilised by users and for them to feel safe while using them. Trust, and indirectly, a sense of safety, has been overlooked in the pursuit of more accurate or better-performing black box models. The field of Explainable Artificial Intelligence and the current recommendations and regulations around Artificial Intelligence require more transparency and accountability from governmental and private institutes. Creating a self-explainable AI that can be used to solve a problem while explaining its reasoning is challenging to develop. Still, it would be unable to explain all the other AIs without self-explainable abilities. It would likely not function for different problem domains and tasks without extensive knowledge about the model. The solution proposed in this thesis is the Accountability Module. It is meant to function as an external explanatory module, which would be able to function with different AI models in different problem domains. The prototype was inspired by accident investigations regarding autonomous vehicles but was created and implemented for a simplified simulation of vehicles driving on a highway. The prototype's goal was to attempt to assist an investigator in understanding why the vehicle crashed. The Accountability Module found the main factors in the decision that resulted in an accident. It was also able to facilitate the answering of whether the outcome was avoidable and if there were inconsistencies with the agent's logic by examining different cases against each other. The prototype managed to provide useful explanations and assist investigators in understanding and troubleshooting agents. The thesis and the Accountability Module indicate that a similar explanatory module is a robust direction to explore further. The chosen explainability methods and techniques were highly connected to the problem domain and limited by the scope of the thesis. Therefore, a more extensive test of the prototype with different problems needs to be performed to check the system's rigidity and versatility as well as the significance of the results. Nevertheless, in a collaboration between an Accountability Module expert and a domain expert, I expect a modular explainability solution to create more insight into an AI model and its significant incidents.

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