Fostering Human-Robot Rapport
We explore how robots can exhibit social skills, like building rapport, that can facilitate positive long-term human-robot interactions.
Our Research
Robots as Social Agents
We examine how factors such as robot personality, customizability, and autonomy can influence human-robot interactions.
Interaction-Shaping Robotics
We study how robots can shape human-to-human interactions in groups to improve group outcomes such as trust and inclusion.
Recent News
May 8, 2025
Visit from Jodi Forlizzi
We hosted a visit from Jodi Forlizzi, Herbert A. Simon Professor in Computer Science and the Human-Computer Interaction Institute at Carnegie Mellon University. Jodi's visit included a talk on "The Role of Design in Purposeful and Pragmatic AI" as well as discussions with our lab members about our ongoing projects. We are grateful for her time and insights!
Apr 4, 2025
HRI Lab Participation at Museum of Science and Industry Robot Block Party
UChicago's HRI lab participated in the Museum of Science and Industry's annual Robot Block Party this past weekend, where we were able to showcase our robots and talk about human-robot interaction research with the Chicago community. It was fantastic to participate in such a fantastic event with other amazing roboticists in the Chicago area! During the event, our lab members and robots were also featured on local Chicago TV station Fox 32.
Mar 6, 2025
🏆 Best Paper Nomination at HRI 2025
Our paper Balancing User Control and Perceived Robot Social Agency through the Design of End-User Robot Programming Interfaces (authors: Alex Wuqi Zhang, Rafael Queiroz, and Sarah Sebo) to be presented at HRI 2025 by Alex Wuqi Zhang has been nominated for best paper!
Mar 6, 2025
Four Papers Presented at HRI 2025
Our group presented four papers at the ACM/IEEE International Conference on Human Robot Interaction (HRI 2025):
- Balancing User Control and Perceived Robot Social Agency through the Design of End-User Robot Programming Interfaces by Alex Wuqi Zhang, Rafael Queiroz, and Sarah Sebo
- Connection-Coordination Rapport (CCR) Scale: A Dual-Factor Scale to Measure Human-Robot Rapport by Ting-Han Lin, Hannah Dinner, Tsz Long Leung, Bilge Mutlu, J. Gregory Trafton, and Sarah Sebo
- Enabling End Users to Program Robots Using Reinforcement Learning by Tewodros W. Ayalew*, Jennifer Wang*, Michael L. Littman, Blase Ur, and Sarah Sebo
- Exploring Robot Personality Traits and Their Influence on User Affect and Experience by Alex Wuqi Zhang, Clark Kovacs, Liberto de Pablo, Justin Zhang, Maggie Bai, Sooyeon Jeong, and Sarah Sebo