Xiaodie Ling

Capital University of Economics and Business

Papers

Total Citations

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About

Xiaodie Ling is a leading voice in the emerging field of human-robot interaction within the hospitality industry, with a specific focus on service robot acceptance. Her research critically examines the psychological and relational factors that determine whether hotel guests embrace or reject robotic service providers. In her highly cited 2023 study (50 citations), Ling demonstrated how a robot’s anthropomorphic design and perceived intelligence directly influence guests’ willingness to continue using them. Her 2024 work (36 citations) makes a pivotal contribution by extending the Service Robot Acceptance Model (sRAM), revealing that functional and social-emotional factors are not enough—trust and rapport are essential mediators for successful robot adoption. By moving beyond simple technology acceptance models, Ling’s research provides hoteliers and robot designers with actionable insights: to build lasting guest relationships, robots must not only perform tasks competently but also foster genuine interpersonal connection. Her work is foundational for anyone studying the future of automated hospitality.