Rafael Queiroz
Papers
1
Total Citations
9
H-Index
1
About
Rafael Queiroz is a leading researcher at the intersection of human-robot interaction (HRI) and end-user programming (EUP), with a core focus on how design choices shape perceived robot social agency. His most-cited work, “Balancing User Control and Perceived Robot Social Agency Through the Design of End-User Robot Programming Interfaces” (2025, 9 citations), tackles a fundamental tension in robotics: enabling users to program robots while preserving the robot’s autonomy and social presence. Queiroz demonstrates that EUP interfaces can inadvertently reduce a robot’s perceived intelligence and social agency, and he proposes design strategies—such as maintaining user control without stripping away autonomous behaviors—to preserve meaningful, engaging interactions. This contribution is pivotal for creating robots that are both customizable and socially compelling, with implications for assistive, educational, and domestic robotics. Though early in his career, Queiroz’s work is already shaping how designers think about the balance between user agency and robot autonomy. His research is essential reading for students and practitioners aiming to build robots that are not just tools, but social partners.
Research Focus
Key Achievements
Top Papers
- 1