Dr. Min Sook Park specializes in data-intensive, user-centered consumer health informatics, focusing on chronic conditions and their caregivers. Her research explores the relationship between information technology and health users to support individuals managing hypertension, diabetes, cancer, and dementia.

Collaborating with interdisciplinary teams, she develops innovative health applications, including a voice-activated mobile health app for chronic disease management. Utilizing computational methods, Dr. Park analyzes user-generated data from social media to uncover insights into health information needs and behaviors.

Consumer health informatics, Health information behavior, Data science, Digital Biomarkers, STEM education

Health informatics, System design, Research Methods

Selected Publications

• Park, M. (2025). Assessing citizens’ perceptions of AI adoption in healthcare: A cultural cognitive perspective. Proceedings of the 88^th Annual Conference of the American Society for Information Science & Technology (ASIS&T’25). Washington DC, Nov. 11~18, 2025.
• Park, M., Bak, H, C., Park, H. J. & Kim, H. (2023)
  Measuring citizens’ perceptions of AI adoption for instrumental and value-added tasks. Proceedings of the Association for Information Science and Technology 60(1):1099-1101. London, UK, 27-31 October 2023. doi: 10.1002/pra2.957. 1st place winner of the Best Poster Award at ASIS&T 2023
• Park, M., Upama, P. B., Anik, A. A., Ahamed, S. I., Luo, J., Tian, S., Rabbani, M., & Oh, H. (2023).
  A survey of conversational agents and their applications for self-management of chronic conditions. In 2023 IEEE Computer Society Signature Conference on Computers, Software, and Applications (IEEE COMPSAC `23). (pp. 1064–1075), Hybrid (Virtual & Torino, Italy), June 26-30, 2023. doi: 10.1109/COMPSAC57700.2023.00162. PMID: 37750107
• Park, M., Park, J., Lee, J., Kim, H., & Park, H. (2023). Measuring the impacts of trustworthiness and quantity of information on COVID-19 vaccination intent. Journal of the Association for Information Science and Technology (JASIS&T). 74(7). 846-865. doi:http://dx.doi.org/10.1002/asi.24760
• Park, M., Upama, P. B., Anik, A. A., Ahamed, S. I., Luo, J., Tian, S., Rabbani, M., & Oh, H. (2023). A survey of conversational agents and their applications for self-management of chronic conditions. IEEE Computer Society Signature Conference on Computers, Software, and Applications (COMPSAC `23). Hybrid (Virtual & Torino, Italy), June 26-30, 2023. 1064–1075. doi: 10.1109/COMPSAC57700.2023.00162. PMID: 37750107
• You, S., Park, M*., & Joo, S. (2022). Practicability of ensemble artificial neural network models for a classification task: An optimal approach for reproducing classification practices of health consumers generated text on social media. Journal of Library and Information Studies. 20(1). 1-30. doi: 10.6182/jlis.202206_20(1).001
• Lee, J. H., Park, M. & Lee, S. (2021). Spatiotemporal evolution and the diffusion pattern of COVID-19 in South Korea in three waves. The Korea Spatial Planning Review. 110, 43~62.  http://dx.doi.org/10.15793/kspr.2021.110.003. First Place Best Paper Winner at KRIHS 2021.
• Park, M.* (2019). Understanding characteristics of semantic associations between health consumer generated knowledge representation in social media. Journal of the Association for Information Science and Technology (JASIST), 70(11).1210-1222. doi: 10.1002/asi.24198

• Interdisciplinary Research Grant by the National Research Foundation of Korea. (KWR 565,803,000, # 2023S1A5A2A21087977) AI-based data visualization platform development research for regional information inequality using public library data. 2023.6-2026.5. Co-I with Dr. Jongwook Lee as PI
• Learning Labs’s AI FAST Challenge Program: Funding for Accelerated Study and Transformation, ($95,000). Collaborative AI integration in STEM education. Consultant with Dr. Hyunkyoung Yoon as PI. *Contract under development
• National Institute of Health (NIH) Exploratory/Developmental Research Grant Award ($441,152, # 1R21NR019707-01). Self-monitoring support application for adults with diabetes and hypertension. 07/28/2021-06/30/2024. Co-investigator with Dr. Hyungkyoung Oh as PI.
• National Science Foundation (NSF) DUE IUSE RAPID Response Research ($193,101, #2032688). Creating opportunities for visualization of data: Applying STEM education research. 07/09/2020 – 07/08/2022. Consultant as Cameron Byerley as PI

Selected Awards