Department of Computer Science and the College
Sarah Sebo’s work is focused on human-robot interaction and the development of robots that improve the performance of human-robot teams by shaping their dynamics to promote inclusion, trust, and cohesion. She uses computational models that detect relevant verbal and nonverbal social cues, predict high-level social dynamics, and generate decision-making policies for robot actions. Her papers, the most recent of which was published in the Proceedings of the National Academy of Sciences and featured on its cover, were among the first to demonstrate that robots can influence the behavior of human team members, finding that robots expressing vulnerability and support can increase trust and positively influence conversational dynamics within a team.
Sebo completed her PhD in computer science at Yale University, where she was a member of its Social Robotics Lab. She holds a BS in electrical and computer engineering from the Franklin W. Olin College of Engineering.