Advancing wellbeing using new ways to communicate, understand, and respond to emotion

The Affective Computing group aims to bridge the gap between human emotions and computational technology. Current research addresses machine recognition and modeling of human emotional expression, including the invention of new software and hardware tools to help people gather, communicate, and express emotional information, together with tools to help people better manage and understand the ways emotion impacts health, social interaction, learning, memory, and behavior. Our projects are diverse: from inventing ways to help people who face communication and emotion regulation challenges; to enabling customers to give rich emotional feedback; to quantifying patterns of autonomic activity (core emotional physiology) during seizures, stress-related disorders, and sleep.

The Affective Computing group aims to bridge the gap between human emotions and computational technology. Current research addresses machine recognition and modeling of human emotional expression, including the invention of new software and hardware tools to help people gather, communicate, and express emotional information, together with tools to help people better manage and understand the ways emotion impacts health, social interaction, learning, memory, and behavior. Our projects are diverse: from inventing ways to help people who face communication and emotion regulation challenges; to enabling customers to give rich emotional feedback; to quantifying patterns of autonomic activity (core emotional physiology) during seizures, stress-related disorders, and sleep.

Group at a glance