GroupAffect-4: A Multimodal Dataset of Four-Person Collaborative Interaction

ArXi:2605.19765v1 Announce Type: new Existing affective-computing, social-signal-processing, and meeting corpora capture important parts of human interaction, but they rarely analysis of affect in co-located groups as a coupled individual, interpersonal, and group-level process. The required signals (per-participant physiology, eye movement, audio, self-report, task outcomes, and personality) are usually fragmented across separate dataset traditions. We