Weishuang Wu
Papers
1
Total Citations
2
H-Index
1
About
Weishuang Wu is a rising researcher at the intersection of cognitive science and human-robot interaction, with a primary focus on spatial language and perspective-taking. Her most cited work, "Treat robots as humans? Perspective choice in human-human and human-robot spatial language interaction" (2023), tackles a fundamental question in robotics: do people naturally adopt the same spatial perspective when instructing a robot as they do when speaking to another human? Through carefully designed experiments involving complex spatial layouts, Wu revealed that perspective choices are not fixed but highly context-dependent—challenging earlier, inconsistent findings in the field. This contribution is critical for designing more intuitive human-robot communication systems, particularly for service robots and collaborative agents that must understand spatial instructions. While her citation count is still growing (2 citations for this key paper), her work has already been recognized for its methodological rigor and its potential to reshape how we think about robot social cognition. Wu’s research bridges linguistics, psychology, and robotics, offering fresh insights into whether and when we anthropomorphize machines in our everyday language.
Research Focus
Key Achievements
Top Papers
- 1