Papers
1
Total Citations
31
H-Index
1
About
Xiaoye Fu is a rising scholar in the field of service robotics and human-robot interaction, with a focused interest in how customers perceive and tolerate service failures by humanoid robots. Her most-cited work, "Effects of human-robot interaction type on customer tolerance of humanoid robot service failure" (2024, 31 citations), provides critical insights into the nuanced dynamics of robot service encounters. Fu’s research explores how different interaction styles—such as task-oriented versus social-oriented—influence customer forgiveness and satisfaction when a robot makes a mistake. This work is foundational for designing more resilient and customer-friendly robotic systems in hospitality and retail. By bridging psychology, marketing, and robotics, Fu contributes to the growing understanding of trust and acceptance in automated service environments. Her findings help businesses and engineers anticipate customer reactions, ultimately guiding the development of more empathetic and effective service robots. As a young researcher, Fu’s work is already shaping the conversation around service failure recovery in human-robot interactions, marking her as a promising voice in the future of service automation.
Research Focus
Key Achievements
Top Papers
- 1