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Teaching AI to Feel: A Collaborative, Full-Body Exploration of Emotive Communication

arXiv 2509.22168 ↗First posted 26 Sep 2025cs.HC cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 29 references that are in the map. First posted on arXiv 26 Sep 2025.

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References · 2

  1. 2017End-to-End Multimodal Emotion Recognition using Deep Neural Networkscited by 70
  2. 2018Multimodal Sentiment Analysis: Addressing Key Issues and Setting up the Baselinescited by 23

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