Shin-Min Hsu
Papers
1
Total Citations
10
H-Index
1
About
Shin-Min Hsu is a pioneering researcher at the intersection of human-robot interaction, mental health, and affective computing. Her work focuses on leveraging artificial intelligence and social robotics to assess and support psychological well-being, a field she argues is critically under-served compared to physical healthcare. Her most cited study (2021, 10 citations) demonstrates a groundbreaking method for estimating personal resilience by analyzing heart rate variability and paralinguistic features during human-robot conversations. This research offers a non-invasive, real-time approach to mental health screening, moving beyond traditional self-report questionnaires. By integrating physiological signals with conversational cues, Hsu’s work opens new pathways for early detection of psychological distress and personalized interventions. Her contributions are particularly notable for advancing the use of embodied AI agents in mental healthcare, a domain where robotic applications remain scarce. Through this innovative fusion of biometrics and social robotics, Hsu is helping to build a future where technology can proactively support mental resilience, making psychological care more accessible, objective, and timely.
Research Focus
Key Achievements
Top Papers
- 1