Understandable and Actionable Information for All

Projects

Current Projects

  • Improving large language models (LLMs) to generate motivational, persuasive, and actionable information

    • The research program aims at improving LLMs to recognize and respond to individuals with different motivations or readiness, and generate appropriate persuasive and actionable information through multiple strategies, including motivational interviewing, storytelling, and nudging, etc.
      • 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, 31(9), 2047-2053. https://doi.org/10.1093/jamia/ocae057

  • Refining large language models to improve comprehension and promote health literacy of older adults

    • The research program aims at bridging theories in reading comprehension, health literacy, and cognitive aging to design AI-based intervention to improve comprehension and cultivate health literacy of older adults.

Past Projects

  • Health Misinformation, underlying mechanisms, and its Impacts

      • Tomaszewski, T., Morales, A., Lourentzou, I., Caskey, R., Liu, B., Schwartz, A., & Chin, J. (2021). Identifying the false human papillomavirus vaccine information and corresponding risk perceptions from Twitter using advanced predicted models. Journal of Medical Internet Research, 23(9), e30451. https://doi.org/10.2196/30451, PMID:34499043

  • Health promotion theories, infoveillance, and public health perceptions

      • 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. PMID: 37057976. https://doi.org/10.1089/cyber.2022.0116
      • Bak, M., Chin, C. L., & Chin, J. (2023). 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. In AMIA Annual Symposium Proceedings(Vol. 2023, p. 280-288). American Medical Informatics Association. PMID: 38222395; PMCID: PMC10785880.

      • Bak, M., & Chin, J. (2024). Examining the Social Dynamics on Health Behavior Promotion in Online Peer Discussions about Breast Cancer Screening. Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing (CSCW Companion ’24). (pp. 472–477). Association for Computing Machinery. https://doi.org/10.1145/3678884.3681893

  • Health literacy, comprehension, actionable information

      • Chin, J., Wang, H., Awwad, A. W., Graumlich, J. F., Wolf, M. S., & Morrow, D. G. (2021). Health literacy, processing capacity, illness knowledge and actionable memory for medication taking in type 2 diabetes: cross-sectional analysis. Journal of General Internal Medicine, 36, 1921-1927. https://doi.org/10.1007/s11606-020-06472-z, PMID: 33507479
      • Rodon, C., Chin, J., & Chevalier, J. (2022). Assessing Covid-19 Health literacy (CoHL) and its relationships with socio-demographic features, locus of control and compliance with social distancing rules during the first lockdown in France. Health Education Research, 37(3), 143-154. https://doi.org/10.1093/her/cyac009
      • Chin, J., Moller, D. D., Johnson, J., Duwe, E., Graumlich, J. F., Murray, M. D. & Morrow, D.G. (2018). A multi-faceted approach to promote comprehension of online health information among older adults. The Gerontologist, 58 (4), 686-695. https://doi.org/10.1093/geront/gnw254
      • Chin, J., Madison, A., Gao, X., Graumlich, J. F., Conner-Garcia, T., Murray, M. D., Stine-Morrow, E. A. L. & Morrow, D. G. (2017). Cognition and health literacy in older adults’ recall of self-care information. The Gerontologist, 57(2), 261-268. https://doi.org/10.1093/geront/gnv091, PMCID: PMC5881765
      • Chin, J., Payne, B., Gao, X., Conner-Garcia, T., Graumlich, J., Murray, M. D., Morrow, D. G. & Stine-Morrow, E. A. L. (2015). Memory and comprehension for health information among older adults: Distinguishing the effects of domain-general and domain-specific knowledge, Memory, 23, 577-589.https://doi.org/10.1080/09658211.2014.912331
      • Chin, J., Morrow, D. G., Stine-Morrow, E. A. L., Conner-Garcia, T., Graumlich, J. F. & Murray, M. D. (2011). The process-knowledge model of health literacy: Evidence from a componential analysis of two commonly used measures. Journal of Health Communication, 16 (Suppl3), 222-241. https://doi.org/10.1080/10810730.2011.604702

Ongoing and Completed Funding

  • Jump ARCHES 
  • National Cancer Institute 
  • CHAD Pilot Grant 

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