Xiaoxiao Song

Capital University of Economics and Business, Beijing Union University, University of International Business and Economics

Papers

Total Citations

147

H-Index

About

Xiaoxiao Song is a leading voice in hospitality technology, exploring how service robots reshape guest experiences. Her research centers on the psychological dynamics of human-robot interaction, particularly how anthropomorphism and perceived intelligence influence guest perceptions. Song’s most-cited work (2023, 61 citations) applies anthropomorphism theory and the stereotype content model to reveal that robot warmth and competence drive word-of-mouth and continued usage intentions. A companion study (2023, 50 citations) further demonstrates that perceived intelligence amplifies these effects. In her 2024 paper (36 citations), Song extends the Service Robot Acceptance Model, showing that trust and rapport are critical mediators between functional/social-emotional antecedents and robot adoption in hotels. Her contributions bridge robotics, social psychology, and service management, offering actionable insights for designing robots that feel both capable and relatable. With over 150 combined citations, Song is shaping how the hospitality industry understands and implements automation, ensuring technology enhances rather than alienates the human touch.