AI RESEARCH
AffectAI-Capture: A Reproducible Multimodal Protocol for Small-Group Meeting Research
arXiv CS.AI
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ArXi:2605.19794v1 Announce Type: cross We present AffectAI-Capture, a protocol for collecting synchronized multimodal data in four-person meeting-like interactions, combining eye tracking, wearable physiology, close-talk and room audio, multi-view video, event logging, and structured self-report. Sessions use fixed task blocks grounded in established group-interaction paradigms, while acquisition and post-processing are organized around a single authoritative event timeline and standardized outputs.