Sarah Sebo
Sarah Sebo is an Assistant Professor of Computer Science at the University of Chicago. She received my PhD in Computer Science from Yale University in 2020.
Her current research explores how robots and artificial agents can positively shape human-to-human interactions. During her PhD, she focused on developing robots that improve the performance of human-robot teams by shaping team dynamics to promote inclusion, trust, and cohesion. Her work investigating how vulnerability shapes human-to-human social dynamics in human-robot teams has demonstrated that the vulnerable utterances of a robot increases the likelihood that human team members express trust-related behavior towards one another (HRI 2018) and also positively shapes the conversational dynamics of the human members of the human-robot team (PNAS 2020). This work is among the first to show that in human-robot teams the actions of a robot can influence how humans in the group interact with each other.