COSI-Lab: Conference Living Lab for Modeling Multi-Perspective Multimodal Social Intention
COSI-Lab presents a multimodal multi-sensor dataset of a real interdisciplinary scientific workshop with 32 academics at an international conference. It captures ecologically valid social interactions in a weakly scripted setting consisting of two 30-minute mingling sessions with real professional and social consequences. We argue that intelligent systems could better handle subjective perceptions by modeling their multiplicity not as label noise but as an explainable perspective-driven reasoning process. We focus on the Apparent Intent Inference (AII) problem as determined by ex-situ observers and conceptualize intentions to be independent of the future. We contribute a novel annotation ...
| Authors | Zonghuan Li, Litian Li, Arthur Mercier et al. |
|---|---|
| Primary category | cs.HC |
| Published | 2 June 2026 |
| Last updated at source | 11 October 2026 |
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