Hugo Cheung
Papers
2
Total Citations
108
H-Index
2
About
Hugo Cheung is a leading researcher in human-robot interaction, with a focus on how social-cognitive strategies and robot personality design shape user perceptions and trust. His work explores the psychological mechanisms that influence how people respond to robots, particularly after errors or breakdowns in interaction. Cheung’s most cited paper, "The effect of social-cognitive recovery strategies on likability, capability and trust in social robots" (2020, 100 citations), demonstrates that robots can repair damaged trust through strategic social responses, such as apologies or excuses, significantly improving user likability and perceived capability. His earlier work, "Don’t Worry, We’ll Get There: Developing Robot Personalities to Maintain User Interaction After Robot Error" (2016, 8 citations), laid the groundwork for designing robot personalities that sustain engagement even after mistakes. Cheung’s contributions are vital for creating more resilient and socially adept robots, with implications for service, healthcare, and collaborative robotics. His research bridges social psychology and robotics, offering practical insights for building trustworthy autonomous systems.
Research Focus
Key Achievements
Top Papers
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