Electronically detecting the mood of a computer user via sensors, cameras, keystroke rhythm detection and other physical means. Affective computing implies that the emotional state of the user can be ...

As the healthcare system continues to come under increased pressure to maximize throughput and treat patients more efficiently, there is a growing body of work in Artificial Intelligence (AI) to ...

With the exception of the occasional “Are you happy to continue with installation?” type pop-up message, computers haven’t classically cared much about how we feel. That’s all set to change with the ...

Affective computing, proposed by Picard in 1997, aims to endow computational systems with the ability to recognize, interpret, and respond to human emotions. Early studies relied primarily on ...

Affective computing, a field focused on understanding and emulating human emotions, has seen significant advancements thanks to deep learning. However, researchers at the Technical University of ...

Professor of Business & Economics at Harvard University and Grenoble École de Management, Grenoble École de Management (GEM) Grenoble École de Management (GEM) provides funding as a founding partner ...

Affective computing represents a broad, interdisciplinary research and practice area focusing on a range of topics, including: affect-adaptive human-computer interaction, affective user modeling, ...

Affective computing is an interdisciplinary domain merging computer science, psychology, neuroscience and engineering to create systems that detect, interpret and respond to human emotions. By ...