Abstract: Automatic analysis of human affective and social signals brought computer science closer to social sciences and, in particular, enabled collaborations between computer scientists and behavioral scientists. In this talk, I will highlight the main research areas in this burgeoning interdisciplinary area, and provide an overview of the opportunities and challenges. Drawing on examples from our recent research, such as automatic analysis of interactive play therapy sessions with children and diagnosis of bipolar disorder from multimodal cues, as well as relying on recent examples from the growing literature, I will explore the potential of human-AI collaboration, where AI systems do not replace, but support monitoring and human decision making in behavioral and clinical sciences.

Albert Ali Salah is Professor of Social and Affective Computing at Utrecht University and Adjunct Professor with the Computer Engineering Department at Boğaziçi University. He works on computer analysis of human behaviour, multimodal interaction, and affective computing. He has written over 200 scientific works in these areas, including an edited book "Computer Analysis of Human Behavior". He is an associate editor of IEEE Trans. on Affective Computing, IEEE Trans. on Cognitive and Developmental Systems, Pattern Recognition, and Int. Journal of Human-Computer Studies, serves on the steering board of eNTERFACE, ACM ICMI, and IEEE FG, and is a senior member of IEEE and ACM.