Shin-Min Hsu
Papers
1
Total Citations
5
H-Index
1
About
Shin-Min Hsu is a pioneering researcher at the intersection of social robotics and psychological assessment, whose work focuses on embedding psychometric evaluations into natural human–robot interactions. His most notable contribution, "Asynchronously Embedding Psychological Test Questions into Human–Robot Conversations for User Profiling" (2020), introduces a novel framework for seamlessly integrating psychological test items into dialogue—enabling robots to infer latent variables like cognitive abilities, personality traits, and emotional states without disrupting conversational flow. This approach has garnered 5 citations, establishing a foundation for non-intrusive user profiling in socially assistive robotics. Hsu’s research addresses a critical challenge: making social robots perceptive of users’ psychological nuances to deliver truly personalized interactions. By bridging psychometrics and human–robot dialogue, his work has implications for mental health support, education, and companion robotics. Hsu’s innovative methodology—combining asynchronous test embedding with conversational AI—positions him as a key figure in advancing empathetic, context-aware robotic systems that adapt to individual user needs.
Research Focus
Key Achievements
Top Papers
- 1