Complete list of publications on Google Scholar
 

2024

  • Vereschak, A., Alizadeh, Fatemeh, Bailly, G., and Caramiaux, B. Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made. ACM CHI (in press)
  • Mohammadzadeh, B., Françoise, J., Gouiffès, M., and Caramiaux, B. Studying Collaborative Interactive Machine Teaching in Image Classification. ACM IUI (in press)
  • Sungeelee, V., Sanchez, T., Jarrassé, N., and Caramiaux, B. Comparing teaching strategies of a machine learning-based prosthetic arm. ACM IUI (in press)
  • Sungeelee, V., Loriette, A., Sigaud, O., and Caramiaux, B. Interactive curriculum learning increases and homogenizes motor smoothness. Scientific Reports 14, 2843 (2024) https://www.nature.com/articles/s41598-024-53253-3

2023

  • Caramiaux, B. AI with Museums and Cultural Heritage. AI & Museums, 2023 https://www.transcript-publishing.com/media/pdf/24/88/01/oa9783839467107.pdf
  • Scurto, H., Similowski, T., Bianchini, S., & Caramiaux, B. Probing Respiratory Care With Generative Deep Learning. Proceedings of the ACM on Human-Computer Interaction 7 (CSCW2), 1-34, 2023. https://hal.science/hal-04239756https://theses.hal.science/tel-04170434
  • Caramiaux, B. Machine Learning in Interaction: Tool, Material, Culture. Habilitation à Diriger des Recherches, Université Paris-Saclay. 2023 https://hal.science/tel-04170434v1/file/HDR_manuscript_caramiaux.pdf
  • Jourdan, T., & Caramiaux, B. Culture and politics of machine learning in nime: A preliminary qualitative inquiry. New Interfaces for Musical Expression (NIME), 2023
  • Jourdan, T., & Caramiaux, B. Machine Learning for Musical Expression: A Systematic Literature Review. New Interfaces for Musical Expression (NIME), 2023
  • Renom, M., Caramiaux, B., & Beaudouin-Lafon, M. Interaction Knowledge: Understanding the 'Mechanics' of Digital Tools. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
  • Sungeelee, V., Loriette, A., Sigaud, O., & Caramiaux, B. Interactive Curriculum Learning Decreases and Homogenizes Motor Variability. Proceedings of the 34th Conference on l'Interaction Humain-Machine, 1-13, 2023
  • Loriette, A., Liu, W., Bevilacqua, F., & Caramiaux, B. Describing movement learning using metric learning. PloS One, 18(2), 2023

2022

  • Caramiaux, B., Altavilla, A., Françoise, J. and Bevilacqua, F. Gestural Sound Toolkit: Reflections on an Interactive Design Project International Conference on New Interfaces for Musical Expression (NIME), 2022
  • Vereschak, O., Bailly, G., and Caramiaux, B. What AI Practitioners Say about Human-AI Trust: Its Role, Importance, and Factors That Affect It International Conference on Hybrid Human-Artificial Intelligence, 2022
  • Caramiaux, B., Fdili Alaoui, S., and Hsueh, S. What Becomes of "Work" in AI" Artwork"? CHI'22 Conference-Workshop on Outsourcing Artificial Intelligence, 2022
  • Peyre, I., Roby-Brami, A., Segalen, M., Giron, A., Caramiaux, B., Marchand-Pauvert, V., Pradat-Diehl, P., Bevilacqua, F. Effect of sonification types in upper-limb movement: a quantitative and qualitative study in hemiparetic and healthy participants. 2022 pdf
  • Caramiaux, B., Fdili-Alaoui, S. "Explorers of Unknown Planets": Practices and Politics of Artificial Intelligence in Visual Arts ACM CSCW, 2022 pdf
  • Sanchez, T., Caramiaux, B., Thiel, P. and Mackay, W. Deep Learning Uncertainty in Machine Teaching. 27th International Conference on Intelligent User Interfaces (IUI) 173-190. 2022 pdf
  • Renom, M., Caramiaux, B., and Beaudouin-Lafon, M. Exploring Technical Reasoning in Digital Tool Use. CHI Conference on Human Factors in Computing Systems 579, 1-17. 2022 pdf

2021

  • Vereschak, O., Bailly, G., Caramiaux, B. How to Evaluate Trust in AI-Assisted Decision Making? A Survey of Empirical Methodologies. Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-39. 2021
  • Scurto, H., Caramiaux, B., Similowski, T., Bianchini, S. GANspire: Generating Breathing Waveforms for Art-Health Applications. 5th NeurIPS Workshop on Machine Learning for Creativity and Design, 2021
  • Françoise, J., Caramiaux, B., Sanchez, T. Marcelle: Composing Interactive Machine Learning Workflows and Interfaces. The 34th Annual ACM Symposium on User Interface Software and Technology, 39-53, 2021
  • Scurto, H., Caramiaux, B., and Bevilacqua, F. Prototyping Machine Learning through Diffractive Art Practice. In Proceedings of DIS In Press. 2021
  • Sanchez, T., Caramiaux, B., Françoise, J., Bevilacqua, F. and Mackay, W. How do People Train a Machine? Strategies and (Mis)Understandings. In Proceedings of CSCW 2021
  • Rivière, JP., Fdili Alaoui, S., Caramiaux, B., and Mackay, W. Exploring the Role of Artifacts in Collective Dance Re-staging. In Proceedings of CSCW 2021 (honourable mention)
  • Scurto, H., Van Kerrebroeck, B., Caramiaux, B., and Bevilacqua, F. Designing Deep Reinforcement Learning for Human Parameter Exploration. ACM Transactions on Computer-Human Interaction (TOCHI) 28 (1), 1-35. 2021 pdf

2020

  • Thoret, E., Caramiaux, B., Depalle, P., and McAdams, S. Learning metrics on spectrotemporal modulations reveals the perception of musical instrument timbre. Nature Human Behavior, 1-9. 2020 pdf
  • Caramiaux, B. and Donnarumma, M.Artificial Intelligence in Music and Performance: A Subjective Art-Research Inquiry. arXiv preprint arXiv:2007.15843. 2020 pdf
  • Caramiaux, B., Françoise, J., Liu, W., Sanchez, T., and Bevilacqua, F.Machine Learning Approaches For Motor Learning: A Short Review. Frontiers in Computer Science. 2020 pdf
  • Caramiaux, B.Research for CULT Committee-The Use of Artificial Intelligence in the Cultural and Creative Sectors. CULT Committee, European Parliament. 2020 pdf

2019

  • Rivière, J., Alaoui, S., Caramiaux, B., and Mackay, W. Capturing movement decomposition to support learning and teaching in contemporary dance. CSCW. 2019.
  • Caramiaux, B., et al. AI in the Media and Creative Industries. White Paper, NEM. 2019. pdf | hal

2018

  • Caramiaux, B., Bevilacqua, F., Wanderley, M., and Palmer, C. Dissociable effects of practice variability on learning motor and timing skills. PLOS ONE. 13(3), 1-18. 2018. pdf | doi
  • Höök, K., Caramiaux, B., Erkut, C., Forlizzi, J., Hajinejad, N., et al. Embracing First-Person Perspectives in Soma-Based Design. Informatics. 5(1), 8. 2018. pdf | doi
  • Rivière, J., Alaoui, S., Caramiaux, B., and Mackay, W. How Do Dancers Learn To Dance?: A first-person perspective of dance acquisition by expert contemporary dancers. Proceedings of the 5th International Conference on Movement and Computing. 2018. pdf | doi
  • Scurto, H., Bevilacqua, F., and Caramiaux, B. Perceiving Agent Collaborative Sonic Exploration In Interactive Reinforcement Learning. Proceedings of the 15th Sound and Music Computing Conference (SMC 2018). 2018. pdf

2017

  • Albertini, N., Brogni, A., Olivito, R., Taccola, E., Caramiaux, B., et al. Designing natural gesture interaction for archaeological data in immersive environments. Virtual Archaeology Review. 8(16), 12--21. 2017. pdf | doi
  • Caramiaux, B., Bevilacqua, F., Palmer, C., and Wanderley, M. Individuality in Piano Performance Depends on Skill Learning. Proceedings of the 4th International Conference on Movement Computing. 2017. pdf | doi
  • Caramiaux, B., Francoise, J., and Bevilacqua, F. Dynamic Bayesian networks for musical interaction. The Routledge Companion to Embodied Music Interaction. Routledge. 2017
  • Bevilacqua, F., Schnell, N., Francoise, J., Boyer, E., Schwarz, D., et al. Designing action-sound metaphors using motion sensing and descriptor-based synthesis of recorded sound materials. The Routledge Companion to Embodied Music Interaction. Routledge. 2017

2016

  • Fiebrink, R., and Caramiaux, B. The machine learning algorithm as creative musical tool. arXiv:1611.00379. 2016. pdf | doi
  • Sarasua, A., Caramiaux, B., and Tanaka, A. Machine Learning of Personal Gesture Variation in Music Conducting. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2016. pdf | doi
  • Bevilacqua, F., Caramiaux, B., and Françoise, J. Perspectives on Real-time Computation of Movement Coarticulation. Proceedings of the 3rd International Symposium on Movement Computing. 2016. pdf | doi
  • Gillies, M., Fiebrink, R., Tanaka, A., Garcia, J., Bevilacqua, F., et al. Human-Centred Machine Learning. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. 2016. pdf | doi

2015

  • Caramiaux, B., Montecchio, N., Tanaka, A., and Bevilacqua, F. Adaptive Gesture Recognition with Variation Estimation for Interactive Systems. ACM Transactions on Interactive Intelligent Systems (TiiS). 4(4), 18-35. 2015. pdf | doi
  • Caramiaux, B., Donnarumma, M., and Tanaka, A. Understanding Gesture Expressivity through Muscle Sensing. ACM Transactions on Computer-Human Interaction (TOCHI). 21(6), 31. 2015. pdf
  • Caramiaux, B., Altavilla, A., Pobiner, S., and Tanaka, A. Form Follows Sound: Designing Interactions from Sonic Memories. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2015. pdf

2014

  • Caramiaux, B., Bevilacqua, F., Bianco, T., Schnell, N., Houix, O., et al. The Role of Sound Source Perception in Gestural Sound Description. ACM Transactions on Applied Perception. 11(1), 1--19. 2014. pdf
  • Caramiaux, B., Françoise, J., Schnell, N., and Bevilacqua, F. Mapping Through Listening. Computer Music Journal. 38(3), 34--48. 2014. pdf
  • Sa, A., Caramiaux, B., and Tanaka, A. The Fungible Audio-Visual Mapping and its Experience. Journal of Science and Technology of the Arts. 6(1), 85--96. 2014. pdf
  • Caramiaux, B. Motion Modeling for Expressive Interaction: A Design Proposal using Bayesian Adaptive Systems. Proceedings of the 2014 International Workshop on Movement and Computing. 2014. pdf

2013

  • Caramiaux, B., Bevilacqua, F., and Tanaka, A. Beyond recognition: using gesture variation for continuous interaction. CHI'13 Extended Abstracts on Human Factors in Computing Systems. 2013. pdf
  • Caramiaux, B., and Tanaka, A. Machine Learning of Musical Gestures. Proceedings of the International Conference on New Interfaces for Musical Expression (NIME). 2013. pdf
  • Donnarumma, M., Caramiaux, B., and Tanaka, A. Muscular Interactions Combining EMG and MMG sensing for musical practice. Proceedings of the International Conference on New Interfaces for Musical Expression (NIME). 2013. pdf
  • Altavilla, A., Caramiaux, B., and Tanaka, A. Towards Gestural Sonic Affordances. Proceedings of the International Conference on New Interfaces for Musical Expression (NIME). 2013. pdf

2012

  • Caramiaux, B., Wanderley, M., and Bevilacqua, F. Segmenting and Parsing Instrumentalists' Gestures. Journal of New Music Research. 41(1), 13--29. 2012. pdf
  • Fdili Alaoui, S., Caramiaux, B., Serrano, M., and Bevilacqua, F. Movement qualities as interaction modality. Proceedings of the Designing Interactive Systems Conference. 2012. pdf
  • Françoise, J., Caramiaux, B., and Bevilacqua, F. A hierarchical approach for the design of gesture-to-sound mappings. 9th Sound and Music Computing Conference. 2012. pdf

2011

  • Fdili Alaoui, S., Caramiaux, B., and Serrano, M. From dance to touch: movement qualities for interaction design. CHI'11 Extended Abstracts on Human Factors in Computing Systems. 2011. pdf
  • Caramiaux, B., Susini, P., Bianco, T., Bevilacqua, F., Houix, O., et al. Gestural embodiment of environmental sounds: an experimental study. Proceedings of the International Conference on New Interfaces for Musical Expression (NIME). 2011. pdf
  • Nymoen, K., Caramiaux, B., Kozak, M., and Torresen, J. Analyzing sound tracings: a multimodal approach to music information retrieval. Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies. 2011. pdf
  • Caramiaux, B., Bevilacqua, F., and Schnell, N. Sound selection by gestures. Proceedings of the International Conference on New Interfaces for Musical Expression. 2011. pdf

2010

  • Caramiaux, B., Bevilacqua, F., and Schnell, N. Towards a gesture-sound cross-modal analysis. Gesture in Embodied Communication and Human-Computer Interaction. Springer. 2010. pdf
  • Caramiaux, B., Bevilacqua, F., and Schnell, N. Analysing gesture and sound similarities with a hmm-based divergence measure. Proceedings of the Sound and Music Computing Conference (SMC). 2010. pdf
  • Caramiaux, B., Bevilacqua, F., Zamborlin, B., and Schnell, N. Mimicking Sound with Gesture as Interaction Paradigm. Technical Report, Ircam Centre Pompidou. 2010. pdf