Renlai Zhou
Papers
2
Total Citations
34
H-Index
2
About
Renlai Zhou is a pioneering researcher at the intersection of social cognition and human-robot interaction, with a primary focus on how people perceive and communicate with robotic agents. Her work fundamentally challenges assumptions about automatic anthropomorphism, demonstrating through rigorous experimental paradigms that humans do not instinctively extend social cognitive processes—such as visual perspective-taking—to humanoid robot avatars. In her highly cited 2021 study (18 citations), Zhou provided compelling evidence that level-1 visual perspective-taking is not automatically triggered by robot avatars, revealing a critical boundary in human social cognition. Her complementary work (16 citations) on spatial communication further illuminates this gap, showing that while robots are increasingly designed to understand spatial language for collaboration, human speakers may not naturally treat them as full social partners in spatial descriptions. These findings have profound implications for robotics design, human-robot teaming, and our theoretical understanding of social cognition. Zhou’s research bridges cognitive science and robotics, offering essential insights for creating more intuitive human-robot interfaces and advancing debates about the uniqueness of human social processing.
Research Focus
Key Achievements
Top Papers
- 1
- 2