Papers
1
Total Citations
6
H-Index
1
About
Qiqi Yang is a rising scholar at the intersection of artificial intelligence, human-computer interaction, and service management. Her research centers on understanding how users perceive and trust AI applications, particularly in service industry contexts. In her most cited work, "To Be Human-like or Machine-like? An Empirical Research on User Trust in AI Applications in Service Industry" (2022, 6 citations), Yang investigates the critical balance between human-like and machine-like design in intelligent service robots. She demonstrates that the anthropomorphic features of AI robots significantly influence users' perceptions of intelligence and trustworthiness, offering empirical insights into how service firms can optimize AI design to foster user acceptance. This contribution is especially timely as businesses increasingly deploy AI in customer-facing roles. Though early in her career, Yang's work addresses a foundational question in human-AI interaction: how much humanity should machines display? Her findings have practical implications for service robot developers and managers seeking to build trust without crossing into the "uncanny valley." As AI becomes ubiquitous, Yang's research provides essential guidance for designing technologies that feel both competent and comfortable to users.
Research Focus
Key Achievements
Top Papers
- 1