Innovative and Accessible Health Care for All

This research theme is to leverage behavioral sciences and data sciences to establish novel generalizable user models of information behavior to support the development of personalized digital health innovation for promoting health behavior (such as self-management or behavior change) in the naturalistic environment.

Projects

  • Developing Motivational Interviewing Conversational Agents to Support Short- or Long-term Behavior Change

  • Bridging digital phenotype and behavioral promotion models to address evolving needs across the cancer continuum

    • Funded by Campus Research Board grant

Selected Publications

  • 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
  • Chin, J., Bak, M., Campbell, J., Sridharan, V., Lai, S., Imam, M., Bhat, S. & Chiu, C-Y (Oct, 2023). Examining the Acceptance of Motivational Interviewing Chatbots (MintBot): A Pilot Study. Presentation at the 10th Year Anniversary Health Care Engineering Systems Symposium, Urbana, IL.

Completed Grants

  • Jump ARCHES 2021 – 2024
  • Cancer Center at Illinois
  • NIH CCTS Pilot Grant UL1TR002003 from the Center for Clinical and Translational Science (CCTS) at the University of Illinois at Chicago (2018/11/16 – 2020/11/15)

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