Our Research

Fostering Human-Robot Rapport

We explore how robots can exhibit social skills, like building rapport, that can facilitate positive long-term human-robot interactions.

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

Sep 10, 2025

Our Work Showing Robots are Less Anxious Reading Aloud to Robots Published in Science Robotics

Work in our lab led by Lauren Wright demonstrated that children experience less anxiety when reading aloud to a robot as opposed to a human adult. Published in Science Robotics (link to the article here) demonstrates a unique advantage that robots can have in educational settings, creating safe spaces for children to make mistakes while learning without fearing judgment. This work has already been featured in UChicago News and UChicago CS News.

Social robots can mitigate reading anxiety

Aug 28, 2025

Lauren Wright Presents Work on Ingroup/Outgroup Effects in Human-Robot Interactions with Multiple Robots at the 2025 RO-MAN Conference

Lauren recently presented her work exploring how people respond to a robot's instructions that may undermine another robot, specifically in the context of ingroup and outgroup dynamics, at the 2025 RO-MAN Conference. Read more about this exciting work soon, once the conference proceedings are published!

2025 Lauren Wright RO-MAN Presentation

Jul 24, 2025

May 16, 2025

Our Work on User Perceptions of the Social Agency of Customizable Robots was Featured in UChicago CS News

Our work investigating user how users perceive robots as social agents when they have the ability to control and customize their behavior was featured in UChicago CS News — here's a link to the article. This work was published at HRI 2025 and received a best paper honorable mention award. You can read the full paper here (authors: Alex Wuqi Zhang, Rafael Queiroz, and Sarah Sebo).