Designing Computational Tools for Behavioral and Clinical Science

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 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 examples from the growing literature, I 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.