Xiaoang Wan
Papers
6
Total Citations
55
H-Index
4
About
Xiaoang Wan is a pioneering researcher at the intersection of human-robot interaction, consumer psychology, and sustainable food behavior. Her work investigates how robotic companions and anthropomorphic design influence human decision-making, particularly in dining and social contexts. Wan’s major contributions include demonstrating that robot anthropomorphism significantly shapes consumer attitudes toward restaurants and service providers (31 citations), and that robotic companions can encourage sustainable food choices by nudging individuals toward vegetable-forward meals over meat-heavy options. Her studies reveal that the mere presence or choice of a robot can alter people’s food preferences, with anthropomorphism moderating this effect. Wan has also explored the neural underpinnings of human-robot relationships, using ERP methods to study inequity perception during solo and joint experiences. Her work extends to the influence of robot musicians on food choices through music-induced mental imagery. With a growing citation record and publications spanning 2024–2026, Wan is at the forefront of understanding how AI and robotics reshape social bonding, empathy, and health-related behaviors, offering critical insights for designing more effective and ethical human-robot interactions.
Research Focus
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Top Papers
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