Wenjie Fan
Papers
1
Total Citations
10
H-Index
1
About
Dr. Wenjie Fan is a pioneering researcher at the intersection of service technology, artificial intelligence, and consumer behavior. Her work primarily investigates how customers psychologically respond to robotic service encounters, drawing on established theories like Uncertainty Reduction Theory to explain adoption and resistance patterns. In her highly cited 2021 study, Dr. Fan demonstrated that service robots can create uncertainty for customers, which in turn shapes their trust and willingness to engage—a finding that has garnered 10 citations and growing attention from both academics and industry practitioners. This research is particularly notable for its scenario-based methodology, offering actionable insights for businesses deploying AI in hospitality, retail, and healthcare settings. Dr. Fan’s contributions are helping to bridge the gap between technological capability and human experience, making her a key voice in the evolving dialogue on human-robot interaction. Her work not only advances theoretical frameworks but also provides practical guidance for designing more customer-friendly robotic services, positioning her as a rising scholar in the field of service innovation and consumer psychology.
Research Focus
Key Achievements
Top Papers
- 1