4 papers
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…
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…
Modelling the Interplay of Eye-Tracking Temporal Dynamics and Personality for Emotion Detection in Face-to-Face Settings
Meisam J. Seikavandi, Jostein Fimland, Fabricio Batista Narcizo +5
Accurate recognition of human emotions is critical for adaptive human-computer interaction, yet remains challenging in dynamic, conversation-like settings. This work presents a per…
MuMTAffect: A Multimodal Multitask Affective Framework for Personality and Emotion Recognition from Physiological Signals
Meisam Jamshidi Seikavandi, Fabricio Batista Narcizo, Ted Vucurevich +2
We present MuMTAffect, a novel Multimodal Multitask Affective Embedding Network designed for joint emotion classification and personality prediction (re-identification) from short…