Human Factors Researcher @ UMich
My research mission is
"Designing usable and accessible intelligent systems based on
a rigorous understanding of human interaction with them."
I would say my research keywords are
Human-Computer Interaction; Human-AI Interaction; Human-Agent Teaming; Trust
Human Factors, User-Centered Design; Cognitive Engineering
Accessibility; Inclusive Design; Technology Acceptance
Hyesun [h eh s uh n] Chung [ch UH ng]
Ph.D. Candidate, Industrial and Operations Engineering (IOE),
University of Michigan, Ann Arbor
Aug 2022 - May 2026 (Expected)
Dissertation Title: From Dyadic to Non-dyadic Human-Autonomy Interaction, Exploring Trust Dynamics and Human Behaviors
Since joining ICRL (Interaction and Collaboration Research Lab) directed by Dr. X. Jessie Yang, I have been deeply involved in exploring human trust in autonomy and how individual behaviors adapt based on personal characteristics, autonomy features, and system design. My primary focus is on non-dyadic human-autonomy interaction (HAI), which involves multiple humans and/or intelligent agents. My core research questions include:
-
How can team metrics (e.g., team trust, team communication effectiveness) be defined and quantified in non-dyadic HAI?
-
How do the behaviors and attitudes of others influence an individual's behavior and attitudes in HAI?
-
How can we predict the real-time trust and behavioral dynamics of individuals in HAI?
-
How can we promote and encourage active prosocial and cooperative human behaviors in HAI?
Please click here to learn more about my ongoing research studies!
M.S., Industrial Engineering
Seoul National University, South Korea
Mar 2020 - Feb 2022
Dissertation Title: Ergonomics Issues in Improving Kiosk Accessibility for Older Adults
B.S., Industrial Engineering, B.F.A., Industrial Design, B.B.A., Business Administration
Seoul National University, South Korea
Mar 2014 - Feb 2020
During my undergraduate and master's studies, I led and participated in numerous exciting projects that are fundamentally aimed at enhancing the user experience of products, services, and systems across various domains (e.g., self-service technology, transportation, mobile, AR/VR, etc.) through end-user data analysis and empirical research. Leveraging my unique interdisciplinary background in engineering, design, and business, I contributed to core project activities, which holistically encompass all phases of UX design: designing, prototyping, evaluating, and conducting data-driven analyses.
Please click here to learn more about the projects!