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Rongqi Bei

pronounced "rong-chee bay"

PhD Student
University of Michigan
[email protected]


👋 Hello! I am a 2nd-year Ph.D. student in Information at the University of Michigan School of Information, advised by Mark Newman and Pedja Klasnja. I also work closely with Noelle Carlozzi at the Center for Clinical Outcomes Development and Application, University of Michigan Medical School. Prior to Michigan, I received my B.S. in Data Science from Duke Kunshan University/Duke University, where I worked with Xin Tong.

My research sits at the intersection of human-computer interaction (HCI) and digital health. I design and evaluate interactive systems—from personalized mobile apps to LLM-powered conversational agents—that support people’s well-being, with the goal of better aligning evolving technologies with people’s quality of life needs. I care about people’s lived experiences with technology, and much of my work applies field deployments and mixed methods to examine and design for situated, high-stakes contexts.

News

  • Paper accepted by JMIR mHealth and uHealth. (04/2026)
  • Paper accepted by Archives of Rehabilitation Research and Clinical Translation. (03/2026)
  • Position paper accepted by CHI '26 Workshop on Social and Emotional Use of AI. See you in Barcelona! (02/2026)
  • Passed Pre-Candidacy Milestone with distinction! (02/2026)
  • Received Honorable Mention Award (top 5%) 🏆 at ICHEC 2025. (11/2025)
  • Received Poster Prize (3rd place 🥉) at U-M Symposium on Human-Centered AI. (10/2025)
  • Received Best Workshop Paper Award 🥇 at 10th International Workshop on Mental Health and Well-being at UbiComp '25. Enjoyed sauna at Espoo, Finland! (10/2025)

Selected Research in AI and Digital Health

  1. Under Preparation
    Aligning LLM-Based Chatbots with Care Partners' Health-Related Quality of Life (HRQOL) Support Needs
    Rongqi Bei et al.
    Manuscripts Under Preparation, 2026
    📑 Engagement patterns, feas., accept., & well-being outcomes · Quant
    📑 Caregivers' needs vs. chatbot support: design implications · Qual
    📑 Conversational intent patterns in 13,600+ chat msgs · LLM-assisted

  2. ARCCT
    A Qualitative Analysis of User Experiences of a mHealth Self-Care Intervention for Care Partners of Individuals with Traumatic Brain Injury 🔗 Link
    Rongqi Bei, Christopher M. Graves, Sung Won Choi, Angelle M. Sander, Madison J. Fansher, Jennifer A. Miner, Zhenke Wu, Predrag Klasnja, Mark W. Newman, Noelle E. Carlozzi
    Archives of Rehabilitation Research and Clinical Translation, 2026

  3. Under Revision
    Eliciting User Feedback to Enhance Personalization of Just-in-time Adaptive Interventions (JITAIs): An Exploratory Study
    Rongqi Bei, Xinghui (Erica) Yan, Noelle E. Carlozzi, Pedja Klasnja, Mark W. Newman
    Under Revision, 2025

  4. DIS
    Proposing a Context-informed Layer-based Framework: Incorporating Context into Designing mHealth Technology for Fatigue Management 🔗 Link
    Xinghui (Erica) Yan, Loubna Baroudi, Rongqi Bei, Leila Boudalia, Stephen M. Cain, Kira Barton, K. Alex Shorter, Mark W. Newman
    ACM Designing Interactive Systems Conference (DIS), 2024

  5. CHI
    StarRescue: The Design and Evaluation of a Turn-Taking Collaborative Game for Facilitating Autistic Children's Social Skills 🔗 Link
    Rongqi Bei, Yajie Liu, Yihe Wang, Yuxuan Huang, Ming Li, Yuhang Zhao, Xin Tong
    ACM Conference on Human Factors in Computing Systems (CHI), 2024

👀 View All Publications →

Service

Conference Reviewer

Teaching

Graduate Student Instructor · University of Michigan

Teaching Assistant · Duke Kunshan University


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