GroupAffect-4 is a new multimodal corpus of four-person collaborative interactions with synchronized physiological, eye-tracking, audio, and affective self-report data from 40 participants across 10 groups and 15 benchmark targets.
Grivich, Fiorenzo Artoni, Tim Mullen, Arnaud Delorme, and Scott Makeig
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
GroupAffect-4: A Multimodal Dataset of Four-Person Collaborative Interaction
GroupAffect-4 is a new multimodal corpus of four-person collaborative interactions with synchronized physiological, eye-tracking, audio, and affective self-report data from 40 participants across 10 groups and 15 benchmark targets.