GroupAffect-4: A Multimodal Dataset of Four-Person Collaborative Interaction (Subset Release — No Audio, <4 GB)

GroupAffect-4 is a multimodal corpus of co-located four-person group interaction across five structured tasks: T0 resting baseline, T1 hidden-profile decision, T2 mini-negotiation, T3 nominal-group idea generation, and T4 public-goods micro-game. The dataset contains 40 participants in 10 groups with per-participant EmotiBit wrist physiology (PPG, EDA, skin temperature, IMU at ~25 Hz), Tobii Pro Glasses 3 egocentric eye-tracking (~50 Hz), DPA close-talk lapel audio (48 kHz), segment-level and word-level speech transcripts, tablet SAM self-reports (valence, arousal, dominance), task outcome records, demographics, and BFI-44 Big Five personality scores. All signals are synchronised via Lab Streaming Layer (LSL). Room video is excluded from this release.

THIS RECORD — SUBSET RELEASE (<4 GB)This record contains all tabular and time-series modalities except raw audio WAV files. It is the recommended starting point for most users.

Files in this record:• affectai_metadata.zip — JSON/TSV sidecars, Croissant 1.1 metadata, README (~1 MB)• affectai_physio.zip — EmotiBit physiology TSV.GZ, all 10 sessions (~175 MB)• affectai_beh.zip — Self-report and task TSV, all sessions (~7 MB)• affectai_transcripts.zip — Transcript and word-level TSV/TXT, all sessions (~5 MB)• affectai_annot.zip — Session sync and annotation files (~2.2 GB)• affectai_et_grp07to15.zip — Tobii Pro Glasses 3 ET TSV.GZ, 7 of 10 sessions (~1.3 GB)  Sessions grp-11, grp-12, and grp-16 ET data are in the full release record.

FULL RELEASE (~30 GB)A companion Zenodo record contains the complete dataset including raw audio WAV files (DPA lapel + room mics, 48 kHz) for all 10 sessions and Tobii ET for all 10 sessions. Link will be added to Related Works once published.

Modality coverage (200 expected participant-task units):• EmotiBit physiology: 182/200 (91.0%)• Tobii eye tracking (this record): 140/200 (70.0%) — full record: 196/200 (98.0%)• Valence/arousal self-report: 171/200 (85.5%)• BFI-44 personality: 40/40 (100%)

Eight benchmarkable evaluation targets (B0–B7) cover task-label classification, affective and cognitive state estimation, personality inference, and group-level interaction metrics. Evaluation uses leave-one-group-out cross-validation (split key: group_id).

Processing code and documentation: https://github.com/meisamjam/GroupAffect-4

Responsible AI fields (data limitations, biases, sensitive information, usage restrictions) are documented in croissant_metadata.json (Croissant 1.1) inside affectai_metadata.zip and in the companion NeurIPS 2026 paper.

GroupAffect-4 is a multimodal corpus of co-located four-person group interaction across five structured tasks: T0 resting baseline, T1 hidden-profile decision, T2 mini-negotiation, T3 nominal-group idea generation, and T4 public-goods micro-game. The dataset contains 40 participants in 10 groups with per-participant EmotiBit wrist physiology (PPG, EDA, skin temperature, IMU at ~25 Hz), Tobii Pro Glasses 3 egocentric eye-tracking (~50 Hz), DPA close-talk lapel audio (48 kHz), segment-level and word-level speech transcripts, tablet SAM self-reports (valence, arousal, dominance), task outcome records, demographics, and BFI-44 Big Five personality scores. All signals are synchronised via Lab Streaming Layer (LSL). Room video is excluded from this release.

THIS RECORD — SUBSET RELEASE (<4 GB)This record contains all tabular and time-series modalities except raw audio WAV files. It is the recommended starting point for most users.

Files in this record:• affectai_metadata.zip — JSON/TSV sidecars, Croissant 1.1 metadata, README (~1 MB)• affectai_physio.zip — EmotiBit physiology TSV.GZ, all 10 sessions (~175 MB)• affectai_beh.zip — Self-report and task TSV, all sessions (~7 MB)• affectai_transcripts.zip — Transcript and word-level TSV/TXT, all sessions (~5 MB)• affectai_annot.zip — Session sync and annotation files (~2.2 GB)• affectai_et_grp07to15.zip — Tobii Pro Glasses 3 ET TSV.GZ, 7 of 10 sessions (~1.3 GB)  Sessions grp-11, grp-12, and grp-16 ET data are in the full release record.

FULL RELEASE (~30 GB)A companion Zenodo record contains the complete dataset including raw audio WAV files (DPA lapel + room mics, 48 kHz) for all 10 sessions and Tobii ET for all 10 sessions. Link will be added to Related Works once published.

Modality coverage (200 expected participant-task units):• EmotiBit physiology: 182/200 (91.0%)• Tobii eye tracking (this record): 140/200 (70.0%) — full record: 196/200 (98.0%)• Valence/arousal self-report: 171/200 (85.5%)• BFI-44 personality: 40/40 (100%)

Eight benchmarkable evaluation targets (B0–B7) cover task-label classification, affective and cognitive state estimation, personality inference, and group-level interaction metrics. Evaluation uses leave-one-group-out cross-validation (split key: group_id).

Processing code and documentation: https://github.com/meisamjam/GroupAffect-4

Responsible AI fields (data limitations, biases, sensitive information, usage restrictions) are documented in croissant_metadata.json (Croissant 1.1) inside affectai_metadata.zip and in the companion NeurIPS 2026 paper.