Papers
8
Total Citations
171
H-Index
6
About
Xin Lei is an emerging researcher whose work sits at the intersection of human-robot interaction (HRI), social cognition, and educational technology. Lei's scholarship centers on how humans perceive, evaluate, and emotionally respond to robots in collaborative and social settings, with particular expertise in responsibility attribution, robot personality, and the psychological dynamics of human-robot teams. Among Lei's most influential contributions is a body of work examining how people assign blame and credit in human-robot groups, exploring how factors such as relative status, power distance orientation, and task structure shape responsibility judgments — work that has collectively garnered nearly 100 citations. Lei has also made notable strides in educational HRI, investigating how robot tutors' feedback styles influence learner outcomes and how emotional responses during robot-mediated cooperation and competition manifest neurologically. A distinctive methodological strength in Lei's research is the use of functional near-infrared spectroscopy (fNIRS) to uncover neural correlates of robot personality perception and error responses, bridging behavioral and neuroscientific approaches. More recently, Lei has expanded into service robotics, examining how robot personality traits like extroversion facilitate user self-disclosure and intimacy. This growing portfolio marks Lei as a rigorous and innovative voice in the rapidly evolving field of human-robot social dynamics.
Research Focus
Key Achievements
Top Papers
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- 4Effect of Robot Tutor’s Feedback Valence and Attributional Style on Learners18 citations · 2021
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- 8Neural Correlates of Robot Personality Perception: An fNIRS Study3 citations · 2024