Xi Shen
Papers
1
Total Citations
5
H-Index
1
About
Xi Shen is an emerging researcher whose work sits at the dynamic intersection of human-robot interaction, social cognition, and technology perception. Their most notable contribution examines how people form both implicit and explicit judgments about robot competence — a timely and consequential question as robots become increasingly embedded in everyday life. Through an impressive six-study program involving 2,660 participants, Shen investigates the psychological mechanisms underlying competence evaluation, exploring how humans assess machine capability through competitive interaction and behavioral observation. This rigorous, large-scale empirical approach reflects a commitment to methodological depth and ecological validity. Although early in their career, Shen's 2024 work has already garnered five citations, signaling growing scholarly interest in this line of inquiry. Their research carries meaningful implications for robotics design, human-AI trust, and the broader challenge of ensuring people can accurately calibrate their reliance on automated systems. As artificial intelligence and robotics continue to reshape professional and domestic environments, Shen's focus on the cognitive and social dimensions of human-robot relationships positions them as a promising voice in an increasingly critical field.
Research Focus
Key Achievements
Top Papers
- 1