Using Human-Robot Interactions to Study Human-Human Social Behavior
Education - Colloquium
Tuesday, April 2, 2013
9:00 AM-10:00 AM
Associate Professor of Computer Science
Abstract: Robots offer a unique tool in the study of human social behavior because they offer a completely controllable, and infinitely repeatable, stimulus that respond precisely to only select social cues and without observer bias. In this talk, I'll present some results from human-robot interactions on topics that include cheating and compliance, social learning and instruction, and animacy and agency. Finally, I'll offer some preliminary data on how these robots can be used as therapeutic and diagnostic tools for social deficits such as autism spectrum disorder.
Bio: Brian Scassellati is an Associate Professor of Computer Science at Yale University. His research focuses on building embodied computational models of human social behavior, especially the developmental progression of early social skills. Using computational modeling and socially interactive robots, his research evaluates models of how infants acquire social skills and assists in the diagnosis and quantification of disorders of social development (such as autism). His other interests include humanoid robots, human-robot interaction, artificial intelligence, machine perception, and social learning. Dr. Scassellati received his Ph.D. in Computer Science from the Massachusetts Institute of Technology in 2001. Dr. Scassellati's research in social robotics and assistive robotics has been recognized within the robotics community, the cognitive science community, and the broader scientific community. He was named an Alfred P. Sloan Fellow in 2007 and received an NSF CAREER award in 2003. His work has been awarded five best-paper awards. He was the chairman of the IEEE Autonomous Mental Development Technical Committee from 2006 to 2007, the program chair of the IEEE International Conference on Development and Learning (ICDL) in both 2007 and 2008, and the program chair for the IEEE/ACM International Conference on Human-Robot Interaction (HRI) in 2009.
Suggested Audiences: College
Last Modified: March 29, 2013 at 11:33 AM