Tong Bill Xu
Papers
2
Total Citations
11
H-Index
2
About
Tong Bill Xu is a pioneering researcher in human-robot interaction (HRI), with a focus on assistive robotics and cross-cultural user perception. His work centers on designing intelligent, user-aware systems that enhance human-robot collaboration, particularly in caregiving and domestic settings. Xu’s major contributions include developing frameworks for evaluating human-in-the-loop assistive feeding robots under varying levels of autonomy, using VR simulation and physiological sensors to measure user trust and workload—a study that has garnered 7 citations for its novel methodology. He also explores cultural differences in multi-robot interaction, as seen in his cross-cultural study on user preference for assistive multi-robot systems (4 citations), which challenges one-size-fits-all design assumptions. Xu’s research is notable for integrating real-time physiological feedback and VR to create adaptive, user-centered robotic systems. His work has implications for personalized assistive technology, particularly for individuals with motor impairments, and highlights the importance of cultural context in robot acceptance. With a growing citation record and a focus on practical, human-centric solutions, Xu is shaping the future of assistive robotics and inclusive HRI design.
Research Focus
Key Achievements
Top Papers
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- 2