HUMAN-AI INTERACTION ∙ INTERACTION DESIGN ∙ DIGITAL HEALTHCARE ∙ AI FOR MENTAL HEALTH ∙ UX RESEARCH
Human-AI interaction researcher exploring how
to design equitable, human-centered AI technologies
that can empower healthcare and humanity alike.
RESEARCH APPROACH
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Toward Mental Wellbeing
How can we advance chatbots, or conversational agents, for mental health?
How can we consider different experiences to create effective conversational agents
for mental health?
By combining user research and iterative design, my goal is to critically examine the potential harms and guide the responsible development of AI technologies that promote trust and individual agency in mental health contexts.
Ultimately, I wish to develop companions for mental health, grounding my work in lived experiences, especially those of marginalized populations.
[Potential PhD Thesis Topic Idea]
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By Guaranteeing AI Trust and Ethics
How can we design AI to guarantee user trust and efficiency?
How can we design AI transparency practices that center the agency and dignity of underrepresented populations?
So far, I have worked on projects related to fields such as medicine and education to see how trust could impact different user groups, as well as to make social impact.
I aim to design systems that include thoughtfully designed AI with clear, honest communication about capabilities and limitations to ensure user trust. Especially, I am interested in investigating use case scenarios where AI trust is crucial, and designing ideas for such situations.
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Through Desiging Empathetic, Accessible AI
How can we lower barriers to those who are not used to using AI (e.g., older generations)?
How can we guarantee user trust and explainability, as well as communicate AI failure to such users?
South Korea officially became a "super-aged" society in 2024, with one in five people aged 65 or older.
If older adults are excluded from AI technologies, there may be a serious digital divide. They may suffer due to systems designed on biased data.
My goal is to investigate how to communicate AI's role in ways that preserve human dignity and autonomy while building genuine AI literacy, through participatory design with marginalized groups and related stakeholders.
FEATURED
Designing Digital Healthcare with AI
for Marginalized Populations
Designing a pre-screening application that helps undetected teenage autistic individuals check
their likelihood of having autism
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Current Research Initiatives
(Human and Artificial Intelligence Research Lab, Yonsei University)
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Total Funding: 247,180,000 KRW
(approx. $172,986 USD)
Meta-research on human responsibility and agency in producing data as well as AI systems
Exploring Ways to Augment
User Thinking and Experience with AI
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Korean Institute of Industrial Engineers
Autumn Conference 2025
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