Xianmei Wu
Papers
1
Total Citations
30
H-Index
1
About
Xianmei Wu is a pioneering researcher at the intersection of human-robot interaction, gender studies, and service marketing. Her work critically examines how the perceived gender of service robots influences customer experiences, trust, and satisfaction—a rapidly growing field as AI-powered assistants become ubiquitous in retail, hospitality, and healthcare. Wu’s most cited study, “Is her (his) gender matched or not matched with me? Gender (dis)match effect between customers and gendered service robots” (2024, 30 citations), provides groundbreaking empirical evidence that customers respond more favorably to robots whose gender aligns with their own, revealing deep-seated psychological biases in human-robot dynamics. This research has immediate implications for robot design, customer segmentation, and ethical AI deployment. By bridging social psychology with robotics, Wu challenges simplistic assumptions about neutral technology, showing that even machine interfaces carry gendered expectations. Her work is essential reading for scholars in human-computer interaction, service management, and gender studies, and it offers practical guidance for companies seeking to optimize user engagement while avoiding reinforcement of harmful stereotypes.
Research Focus
Key Achievements
Top Papers
- 1