Papers
4
Total Citations
160
H-Index
3
About
Yu-Shan Huang is a leading researcher in service robotics and consumer behavior, focusing on how customers interact with and respond to robots in hospitality and retail settings. Her work bridges technology acceptance and emotional psychology, offering critical insights for designing effective robotic assistants. Huang’s most influential paper, “Service robots in full- and limited-service restaurants: Extending technology acceptance model” (2022, 145 citations), redefines how restaurants can integrate robots by accounting for service context and customer perceptions. She further explores robotic shopping assistants (RSAs) in “Pepper, just show me the way! How robotic shopping assistants should look and act” (2023), examining how humanoid versus non-humanoid designs and utilitarian versus hedonic features influence consumer acceptance. Her recent study, “Witnessing robot mistreatment: A dual-path model of behavioral contagion and empathy in customer observers” (2025), uncovers how observing robot abuse triggers either mimicry or empathy in bystanders, with implications for ethical robot deployment. With a growing citation record and work appearing in top-tier journals, Huang is shaping the future of human-robot interaction, helping businesses design robots that are not only functional but emotionally intelligent.
Research Focus
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