Research Areas
The Affective Computing Lab conducts pioneering research at the intersection of computer science, psychology, neuroscience, and artificial intelligence. The primary mission of the laboratory is to develop and apply affective computing technologies that enable machines and social robots to effectively perceive, interpret, and respond to human emotions, particularly in the context of child-robot interaction.
Our research group specializes in affect-aware socially assistive robotic platforms designed for children with disabilities and neurodevelopmental disorders. The laboratory carries out interdisciplinary research in areas such as human-robot interaction, multimodal emotion recognition, digital biomarkers, AI-supported educational systems, and wearable sensing technologies.
In addition to research activities, the laboratory supports the development of innovative technologies that provide social benefit in healthcare, rehabilitation, and education while offering students and researchers a collaborative and hands-on research environment.
- Affective Computing
- Socially Assistive Robotics
- Human-Robot Interaction (HRI)
- Digital Biomarkers
- Multimodal Emotion Recognition
- Social Robotics
- Neurodevelopmental Disorders
- Hearing Impaired Children
- Autism Spectrum Disorder (ASD)
- Early Detection and Monitoring
- AI-supported Education
- Sign Language Recognition / Generation
- Wearable Sensors
- Serious Games / Gamification
Affiliated Faculty Members