5 papers
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…
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…
Model-based Speech Enhancement for Intelligibility Improvement in Binaural Hearing Aids
Mathew Shaji Kavalekalam, Jesper K. Nielsen, Jesper B. Boldt +1
Speech intelligibility is often severely degraded among hearing impaired individuals in situations such as the cocktail party scenario. The performance of the current hearing aid t…