Ai Ren
Papers
5
Total Citations
154
H-Index
5
About
Dr. Ai Ren is a pioneering researcher at the intersection of service robotics, human-robot interaction, and service quality management. Her work fundamentally explores how the design and deployment of service robots—from their anthropomorphic features to their role as service principals—reshape customer experiences and decision-making. Ren’s most impactful study (76 citations) examines how the type of service principal (robot vs. human staff) influences perceived service quality, mediated by the attributes of the service principal. She further dissects the dimensions and internal relationships of robot anthropomorphism (43 citations), and demonstrates how appearance personification in robots affects customer choices in product recommendation contexts (18 citations). Extending traditional service theory, Ren has also revised the classic service quality gap model to account for the unique challenges posed by robotic service agents (9 citations). Notably, her research bridges service robotics with innovation economics, investigating how production structure roundaboutness drives innovation capability in high-tech enterprises (8 citations). Through her focused body of work, Dr. Ren is shaping our understanding of how to design effective, trustworthy service robots for a post-pandemic, contactless world.
Research Focus
Key Achievements
Top Papers
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- 4Understanding Impacts of Service Robots with the Revised Gap Model9 citations · 2022
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