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cs.LG2026
Pseudo-Label Augmentation for Affect Sensing in Small Collaborative Groups
Meisam Jamshidi Seikavandi, Tanya Ignatenko, Fabricio Batista Narcizo +3
Physiological affect sensing in naturalistic group interaction is often limited by sparse labels rather than sensor data: wearable devices produce many time windows, while self-rep…
cs.HC2026
AffectAI-Capture: A Reproducible Multimodal Protocol for Small-Group Meeting Research
Meisam Jamshidi Seikavandi, Alice Modica, Anna Obara +6
We present AffectAI-Capture, a protocol for collecting synchronized multimodal data in four-person meeting-like interactions, combining eye tracking, wearable physiology, close-tal…
cs.AI2026
GroupAffect-4: A Multimodal Dataset of Four-Person Collaborative Interaction
Meisam Jamshidi Seikavandi, Alice Modica, Anna Obara +10
Existing affective-computing, social-signal-processing, and meeting corpora capture important parts of human interaction, but they rarely support analysis of affect in co-located g…