Tuan-He Lee
Human-Computer Interaction (HCI) researcher studying health, care work, and AI
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Hi! I’m Tuan-He. My research examines how technology reshapes the work of caring for others in health contexts. During my Ph.D., I studied how family, partners, and friends support loved ones with mental illness across distance, and how everyday technologies both enable and complicate that work. My current research focuses on how patients and clinicians come to trust or distrust AI-based clinical decision support, and the practical and ethical challenges of introducing these tools into clinical practice.
I am a postdoctoral researcher in the Department of Health Humanities and Bioethics at the University of Rochester, working with Jon Herington on the responsible implementation of AI clinical decision support. I completed my Ph.D. in Information Science at Cornell University in 2026, advised by Gilly Leshed, Dr. Drew Margolin and Dr. Elaine Wethington. I hold master's degrees in Media and Communications from the London School of Economics and in Sociology from the University of Amsterdam.
Publications
Selected projects
Remote Mental Health Support (Ongoing work)
Tuan-He Lee and Gilly Leshed
Family, partners, and close friends play a critical role in supporting individuals with mental illness, even when living at a distance. As global mobility increases alongside mental health awareness, remote supporters play a significant role in providing care for individuals in need. These remote supporters face unique challenges in providing effective support without being physically present. Through qualitative interviews, surveys, and online content analysis, I examine how supporters develop patterns of interaction, communication strategies, and technology-mediated care practices. My research aims to empower remote supporters to maintain their own wellbeing while providing remote care. Findings from this work have been published at CSCW 2025, CHI 2026, and CSCW 2026 [to appear].
Fact-checking Bot in Group Chat
Tuan-He Lee and Susan Fussell
Misinformation in private messaging platforms is difficult to challenge due to social norms, interpersonal relationships, and technological affordances. This interview study investigated users who adopted an automated fact-checking bot in their messaging groups. We explored users' motivations and perceptions of the chatbot and assessed its influence on interpersonal interactions. Findings suggest that conversational agents offer a promising approach for tackling misinformation, particularly when conversational participants disagree. This work has been published in Group 2025.
Consumer Research on Privacy Goals
Tuan-He Lee
As a research fellow at the Consumer Reports Innovation Lab (Summer 2023), I contributed to developing the app Permission Slip, a digital privacy assistant that helps consumers regain control over their personal data. The CR Innovation Lab designs, prototypes, and scales new solutions that enable consumers to make informed choices. This study examined consumer expectations of privacy tools through survey and card-sorting technique. I identified key priorities for data management and distinct privacy personas that informed the design of the app's information architecture. Check out my detailed report to learn more about this work!
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