Tuan-He Lee
Human-Computer Interaction (HCI) researcher, PhD candidate @ Cornell Info Sci
Human-Computer Interaction (HCI) researcher, PhD candidate @ Cornell Info Sci
Hi! I’m Tuan-He. I'm a PhD candidate in Information Science at Cornell University, where I study Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW), advised by Dr. Gilly Leshed. My research is guided by my committee members, Dr. Drew Margolin and Dr. Elaine Wethington.
Currently, I am researching how families support loved ones with mental illness, focusing on how they interact, communicate with each other, and provide support through technology. I view technology as a mechanism to enhance the well-being of family supporters. My broader interest lies in digital mental healthcare and technology-mediated social support, as I firmly believe strengthening the support system is essential for promoting well-being at both individual and community levels.
Previously, I worked at market research firms, where I developed skills in qualitative research, product and brand strategy, and consumer behavior. I received my Master degrees from Media and Communications at London School of Economics and Political Science, and Sociology at the University of Amsterdam.
Remote Mental Health Support (Ongoing work)
Tuan-He Lee, Jenny Wong, 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.
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 at 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 surveys 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!
Lee, T. H., & Fussell, S. R. (2025). Countering Misinformation in Private Messaging Groups: Insights From a Fact-checking Chatbot. Proceedings of the ACM on Human-Computer Interaction, 9(1), 1-30. doi: 10.1145/3701189
Tseng, Y. C., Jarupreechachan, W., and Lee, T. H. (2023). Understanding the Benefits and Design of Chatbots to Meet the Healthcare Needs of Migrant Workers. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2), 1-34. doi:10.1145/3610106
Lee, T. H., Jarupreechachan, W., and Tseng, Y. C. (2022). Exploring low-income migrant workers’ health information-seeking behavior during COVID-19 in Taiwan: A qualitative study. Digital Health, 8. doi:10.1177/20552076221133764