Research on virtual reality–based approaches to anxiety, spanning clinical acceptance, intervention development, and physiological, cognitive, and behavioral responses during repeated virtual reality sessions.
Min Jeon, RN
KAIST
UNIST
Drawing on my background in nursing and training in engineering, I study how mental health experiences such as anxiety, depression, and distress vary across individuals and over time. I am interested in how these experiences are reflected in subjective reports, behavior, physiology, and everyday life, and in the patterns that emerge across these different sources of information.
I use digital technologies and longitudinal data to better capture these patterns and understand what they may mean for individual care. By bringing together different forms of information, I hope to contribute to healthcare systems that can respond more meaningfully to individual needs. Ultimately, I hope this work can support more precise and human-centered decision-making in healthcare.
Education
Combined M.S. & Ph.D, Health Science and Technology QE Passed 2025.11
Ulsan National Institute of Science and Technology
- Graduate Student Council (2024–2025)
Bachelor of Science in Nursing
Keimyung University
- Nursing College Student Council (2020)
Certification & Training
Primary Course for Clinical Research Coordinator
Korea National Enterprise for Clinical Trial
Registered Nurse
Korean Ministry of Health and Welfare
Projects
A 24-week longitudinal study using repeated clinical assessments and smartphone-based lifelog data to investigate changes in mood and mental health over time.
Development and evaluation of a conversational patient education system designed to support patients’ understanding of AI-assisted mammography, including the role and limitations of artificial intelligence and informed decision-making.
A longitudinal digital mental health project using smartphone and wearable data to investigate behavioral signals associated with mental health and their potential use in ongoing monitoring.
Research examining how psychiatrists encounter and interpret generative artificial intelligence in clinical practice, with a focus on its appropriate roles, limitations, safety, governance, and implementation priorities in mental health care.
Publications
Methods
Let's connect
I welcome correspondence from researchers, clinicians, and engineers working at the intersection of digital technology and mental health.