Soobin Park
I am an HCI researcher and a Ph.D. student in Industrial Design at KAIST, advised by Prof. Youn-kyung Lim. My research interests focus on exploring the opportunities and challenges of designing human-AI interactions centered around self-reflection and personal data. I aim to design and study new technologies in everyday life, employing a reflective, human-centered approach.
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Daejeon Artience
Human-AI Co-Interpretation Interaction Design
AI as Reflective Resources
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2026-03
2026-02
2026-02
2026-02
2025-04
2025-04
Our paper has been accepted to DIS 2026!
Our position paper got accepted to Herding CATs: Making Sense of Creative Activity Traces workshop!
Attending CHI 2026 as a Student Volunteer!
Our paper has been accepted to TOCHI 2026!
Our paper received an Honorable Mention Award at CHI 2025!
Our paper has been accepted to CHI 2025!
AI as Reflective Resources
2024-2025
With the increasing availability of personal data in everyday life, supporting people’s meaning-making from personal data has become an important topic in HCI research. Prior work has explored alternative ways of representing personal data, such as data visualization or data physicalization, to facilitate more meaningful and reflective engagement with personal data. Recently, generative AI has introduced new opportunities to transform personal data into alternative visual forms. In particular, image-generative AI can represent personal data in more subjective, abstract, and imaginative visual forms, which may encourage users to reflect on and interpret their data through imagination and speculation. Based on this background, we aim to explore new possibilities of how image-generative AI can be leveraged to design for personal data meaning-making.
Publication: CHI 2025 Paper