Michelle Bak
Doctoral Student
PhD, Information Sciences, Illinois (in progress)
BA, Sociology, UCLA
Research focus
Developing a digital health solution based on using NLP and psychological theories to promote preventive health behaviors
Honors and Awards
- Honorable Mention Poster Award, IC2S2 Conference (2022)
Advisor
Publications & Papers
Bak, M. & Chin, J. (in press). Examining the Social Dynamics on Health Behavior Promotion in Online Peer Discussions about Breast Cancer Screening. Proceedings of ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW’24). ACM. https://doi.org/10.1145/3678884.3681893
Bak, M. & Chin, J. (2024). The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae057
Bak, M., Chin, C. L., & Chin, J. (2024). Use of Health Belief Model-based Deep Learning to Understand Public Health Beliefs in Breast Cancer Screening from Social Media before and during the COVID-19 Pandemic. AMIA Annual Symposium proceedings. AMIA Symposium, 2023, 280–288.
Bak, M., Chiu, C., & Chin, J. (2023). Mental Health Pandemic during the COVID-19 Outbreak: Social Media as a Window to Public Mental Health. Cyberpsychology, Behavior, and Social Networking, 26(5), 346–356. https://doi.org/10.1089/cyber.2022.0116
Bak, M., Priniski, & J.H., Chin, J. (2023). Representations of Health and Wellness on Instagram: An Analysis of Posting Behavior of Top-Ranked Health Influencers. In C. Stephanidis, M. Antona, S. Ntoa, & G. Salvendy (Eds.), HCI International 2023 Posters (pp. 10-20). Springer. https://doi.org/10.1007/978-3-031-36001-5_2