Guyue Tang
Papers
1
Total Citations
3
H-Index
1
About
Guyue Tang is a researcher at the forefront of human-robot interaction, with a particular focus on the psychological and perceptual boundaries that define our relationship with artificial beings. Her work centers on the Uncanny Valley hypothesis, exploring how people categorize and perceive the line between human and robot faces. In her most-cited paper, "Robot occupations affect the categorization border between human and robot faces" (2023), Tang demonstrates that the perceived anthropomorphism of a robot is not fixed—it shifts depending on the robot's assigned occupation. This finding challenges static models of the Uncanny Valley, revealing that context and social role significantly influence how human-like a robot is judged to be. By showing that the robot-human border is malleable, Tang’s research has important implications for robot design and social robotics, suggesting that a robot’s function can be as critical as its appearance in shaping user acceptance. Though her citation count is still growing, her work is already sparking discussion in cognitive science and human-robot interaction circles. Tang’s contributions are helping to build a more nuanced, socially-aware framework for understanding how humans perceive and interact with increasingly lifelike machines.
Research Focus
Key Achievements
Top Papers
- 1