Computational Behavior Modeling for Personalized Health
Computational Behavior Modeling for Personalized Health
Guest Speaker: Dr. Afsaneh Doryab, Assistant Professor of Computer Science and Systems Engineering at the University of Virginia
Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science, Boston University Metropolitan College
Friday, February 2 at 10:00 AM EST
Abstract: Humans interact extensively with a wide range of computing devices, generating data streams that can be analyzed to extract cues about their physical and mental states. This latent information can be used to create more intelligent systems that can anticipate users’ needs and provide personalized services and interventions. However, this capability also poses new technical challenges. In this talk, I will present my research in modeling human behavior from multimodal data streams to address some of those challenges. I will showcase how we integrate behavior models into music melodies and social robots for personalized intervention.
Bio: Afsaneh Doryab is an Assistant Professor of Computer Science and Systems Engineering at the University of Virginia. Prior to joining UVA, she was a Systems Scientist at Carnegie Mellon University’s School of Computer Science. Her research lies at the intersection of Ubiquitous Computing, Artificial Intelligence, Human-Computer Interaction, and Digital Health. Dr. Doryab’s work revolves around creating computational models of human behavior using data streams collected through mobile, wearable, and embedded sensors. She applies her research to various domains, including health, social, and economic sectors. Her work has received funding from the National Science Foundation and the National Institutes of Health and has been published in top-tier conferences and journals such as IMWUT, CHI, CSCW, and JMIR.