Papers
9
Total Citations
33
H-Index
4
About
Xiaoxuan Hei is an emerging researcher at the intersection of human-robot interaction (HRI), educational technology, and cognitive science, whose work is steadily gaining traction in the robotics and AI communities. With a focus on designing socially intelligent and user-centered robotic systems, Hei has made notable contributions to understanding how robots can meaningfully support human cognition, communication, and learning. Among Hei's most impactful work is an investigation into cognitive load dynamics in teleoperation (7 citations), offering critical insights for safer remote operation system design in hazardous environments. In education, Hei has explored how social robots compare to human tutors in one-on-one settings and how regulatory focus theory can guide robot-assisted learning — particularly relevant in the post-pandemic shift away from videoconferencing. A standout contribution is the development of a bilingual social robot capable of both sign and natural language, advancing inclusive human-robot communication (5 citations). Hei also pushes creative boundaries by investigating robot humor through semantic gesture and conversational frameworks, and employs Dynamic Bayesian Networks to model user engagement in real time. Collectively, Hei's growing body of work signals a researcher committed to making robots more empathetic, adaptive, and genuinely useful in human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robots in education: Influence of Regulatory Focus Theory5 citations · 2023
- 3A Bilingual Social Robot with Sign Language and Natural Language5 citations · 2024
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