Robots that Enhance Human-to-Human Interactions
We explore how robots can enhance human-to-human interactions to improve collaborative team outcomes by promoting inclusion, trust, and cohesion.
We explore how robots can enhance human-to-human interactions to improve collaborative team outcomes by promoting inclusion, trust, and cohesion.
We seek to build computational models that can detect important group dynamics to inform decision-making policies for robot actions.
We are committed to making real world impact. We develop robots that provide personalized one-on-one tutoring help to students.
HRI lab meetings will be held during the 2024 Spring quarter on Tuesdays from 3:30pm - 4:30pm in JCL 354 starting Tuesday, March 19. If you’re a current UChicago student and interested in learning more about our research and/or how to get involved with our research, please feel free to join our weekly lab meetings. Feel free to email sarahsebo@uchicago.edu if you have any questions.
Our paper A Taxonomy of Robot Autonomy for Human-Robot Interaction (authors: Stephanie Kim, Jacy Reese Anthis, and Sarah Sebo) presented at HRI 2024 by Stephanie Kim was given an honorable mention for best paper!
Stephanie Kim, Spenger Ng, Jacy Anthis, and Sarah Sebo attended the ACM/IEEE International Conference on Human Robot Interaction (HRI 2024) in Boulder Colorado. Stephanie and Spencer both presented their papers:
PI Sarah Sebo is a joint author of the paper RoSI A Model for Predicting Robot Social Influence that was just accepted for publication at THRI. This paper proposes a new conceptual model that predicts the level of social influence a robot has in a human-robot interaction based on two factors: violation of expectation and a person's social belonging with the robot. To learn more, please read the paper:
PI Sarah Sebo is a member of a collaborative team that has just published a paper in the THRI journal defining the sub-field of HRI called Interaction-Shaping Robotics (ISR). ISR investigates robots that influence the behaviors and attitudes exchanged between two (or more) other agents. To learn more, please read the paper: