Brett Stoll
Papers
7
Total Citations
555
H-Index
7
About
Brett Stoll is a leading researcher in human-robot interaction (HRI), with a focus on how robots function within groups and teams rather than in one-on-one settings. His work explores the social dynamics of robots as group members, mediators, and collaborators, drawing on social identity theory and interpersonal communication. Stoll’s most cited paper (2018, 261 citations) examines how an AI instructor’s voice influences human-robot interactions through the lens of social identity, revealing critical insights for robot design in educational and team contexts. His 2020 paper “Robots in Groups and Teams” (142 citations) is a foundational review that identifies the unique challenges robots face when embedded in multi-human environments, such as resource allocation and group cohesion. Stoll also developed the Robot-Assisted Tower Construction paradigm (55 and 14 citations), a novel method for studying how a robot’s allocation behavior affects collaboration and interpersonal dynamics in groups. His work on telepresence robots (45 citations) and robot-enacted guilt trips in negotiations (29 citations) further demonstrates his breadth, from remote teamwork to persuasive robotics. Stoll’s research is pivotal for designing robots that can effectively navigate the complexities of real-world group interactions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robots in Groups and Teams142 citations · 2020
- 3
- 4Wait, Can You Move the Robot?45 citations · 2018
- 5
- 6
- 7Keeping it Light9 citations · 2018