Teaching AI to Feel: A Collaborative, Full-Body Exploration of Emotive Communication
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3746027.3758186.pdf
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73.38 MB
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Adobe PDF
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Author(s)
Lemus, Lissette
Pilcher, Kris
Sprengel, Holger
Sabater-Mir, Jordi
Tütüncü, Esen K.
Date Issued
October 27, 2025
Publisher
ACM|Proceedings of the 33rd ACM International Conference on Multimedia
Citation
Esen K. Tütüncü, Lissette Lemus, Kris Pilcher, Holger Sprengel, and Jordi Sabater-Mir. 2025. Teaching AI to Feel: A Collaborative, Full-Body Exploration of Emotive Communication. In Proceedings of the 33rd ACM International Conference on Multimedia (MM '25). Association for Computing Machinery, New York, NY, USA, 12170–12178.
Version
Final published version
Abstract
Commonaiverse is an interactive installation exploring human emotions through full-body motion tracking and real-time AI feedback. Participants engage in three phases: Teaching, Exploration and the Cosmos Phase, collaboratively expressing and interpreting emotions with the system. The installation integrates MoveNet for precise motion tracking and a multi-recommender AI system to analyze emotional states dynamically, responding with adaptive audiovisual outputs. By shifting from top-down emotion classification to participant-driven, culturally diverse definitions, we highlight new pathways for inclusive, ethical affective computing. We discuss how this collaborative, out-of-the-box approach pushes multimedia research beyond single-user facial analysis toward a more embodied, co-created paradigm of emotional AI. Furthermore, we reflect on how this reimagined framework fosters user agency, reduces bias, and opens avenues for advanced interactive applications.
Description
MM ’25, October 27–31, 2025, Dublin, Ireland
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1145/3746027.3758186
