Huijun Yang
Papers
7
Total Citations
250
H-Index
7
About
Huijun Yang is a prominent hospitality and technology researcher whose work sits at the intersection of service robotics, customer experience, and restaurant management. Best known for pioneering investigations into how robotic employees shape customer perceptions, Yang has made substantial contributions to understanding the psychological and behavioral dimensions of human-robot interactions in food service contexts. Their highly cited studies — including research on technology readiness (58 citations), robotic versus human employee authenticity (52 citations), and cognitive appraisal theory applied to robotic service quality (42 citations) — have collectively advanced scholarly understanding of how customers evaluate and respond to automated service environments. By drawing on diverse theoretical frameworks including person-environment fit theory, affordance theory, and similarity-attraction theory, Yang's research reveals nuanced distinctions between utilitarian and hedonic robotic roles, as well as the complex interplay between service quality, authenticity, and revisit intentions. Their work notably bridges psychological theory with practical hospitality management implications, offering actionable insights for restaurant operators navigating digital transformation. With a growing body of work accumulating over 250 citations in just a few years, Huijun Yang has rapidly established themselves as an influential voice shaping the future of service robotics scholarship.
Research Focus
Key Achievements
Top Papers
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- 6Point-line feature fusion based field real-time RGB-D SLAM20 citations · 2022
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