The Affective Computing research group aims to bridge the gap between computational systems and human emotions. Our research addresses machine recognition and modeling of human emotional expression, machine learning of human preferences as communicated by user affect, intelligent computer handling of human emotions, computer communication of affective information between people, affective expression in machines and computational toys, emotion modeling for intelligent machine behavior; tools to help develop human social-emotional skills, and new sensors and devices to help gather, communicate, and express emotional information.
