Sue‐Huei Chen
Papers
1
Total Citations
10
H-Index
1
About
Sue-Huei Chen is a pioneering researcher at the intersection of clinical psychology, human–robot interaction, and digital mental health. Her work focuses on leveraging artificial intelligence and physiological signals to assess and enhance psychological well-being, with a particular emphasis on personal resilience. In her highly cited 2021 study, Chen demonstrated that resilience can be reliably estimated from heart rate variability and paralinguistic features during human–robot conversations, achieving 10 citations and opening new pathways for non-invasive mental health screening. This research addresses a critical gap: while AI and robotics have transformed physical healthcare, their application in mental healthcare remains limited. Chen’s contributions are notable for bridging engineering and clinical science, offering scalable tools for early detection of mental health vulnerabilities. Her work underscores the importance of integrating objective biometrics with conversational AI to destigmatize and democratize mental health support. By advancing methods that make resilience assessment more accessible, Chen is shaping a future where technology complements traditional therapy, empowering individuals to monitor and strengthen their psychological health.
Research Focus
Key Achievements
Top Papers
- 1