Mingwei Tang
Papers
1
Total Citations
26
H-Index
1
About
Dr. Mingwei Tang is a rising scholar at the forefront of human–robot interaction (HRI), specializing in the psychological and computational mechanisms that underpin trust in collaborative AI systems. In her landmark 2023 study, "Complexity-Driven Trust Dynamics in Human–Robot Interactions," Dr. Tang bridges interpersonal trust theory with modern AI-enhanced robotics, revealing how dynamic, context-dependent factors—such as task complexity and robot transparency—shape human trust calibration. This work, already garnering 26 citations, provides a foundational framework for designing robots that earn and maintain user confidence in real-world settings. Her research addresses a critical gap: moving beyond static trust models to capture the fluid, adaptive nature of trust in increasingly autonomous systems. By integrating insights from social psychology, cognitive science, and AI, Dr. Tang’s contributions are directly informing the next generation of collaborative robots in healthcare, manufacturing, and service industries. Her rigorous, interdisciplinary approach positions her as a key voice in ensuring that as robots become more capable, they also become more trustworthy partners.
Research Focus
Key Achievements
Top Papers
- 1