Mei‐Hua Lin
Papers
1
Total Citations
14
H-Index
1
About
Mei-Hua Lin is a leading researcher in human-robot interaction (HRI), with a specific focus on the psychological and behavioral mechanisms that underpin trust between humans and autonomous systems. Her most cited work, "Determinants of trust in human-robot interaction: Modeling, measuring, and predicting" (2020), has garnered 14 citations and stands as a foundational contribution to the field. In this study, Lin developed a comprehensive framework that identifies key factors—such as robot performance, transparency, and anthropomorphism—that influence trust, and proposed novel methods for measuring and predicting it in real-time interactions. This work has significant implications for the design of more reliable and socially acceptable robots in healthcare, manufacturing, and service settings. Beyond this landmark paper, Lin’s research continues to bridge engineering and social science, advancing our understanding of how humans calibrate trust in increasingly autonomous technologies. Her contributions are shaping the next generation of human-centered robotics, making her a vital voice in the ongoing dialogue about safe and effective human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1