Taewan Kim, Ph.D.
HCI researcher and designer working at the intersection of human-AI interaction and AI-driven service design. Currently an HCI Research Scientist at TwelveLabs, with prior industry experience at Samsung Electronics and NAVER AI Lab. I earned my Ph.D. from KAIST under the guidance of Professor Hwajung Hong, where my research explored how large language models and multimodal AI can be meaningfully applied to real-world services in healthcare and mental wellbeing, with a focus on bridging academic research and real-world practice.
News
Jockey Research Preview publicly launched! I contributed the interaction language and surface design for human-video AI interaction.
Paper on LLM-generated patient-friendly clinical notes published in Scientific Reports.
Joined Twelve Labs as an HCI Research Scientist, focusing on human-AI interaction and multimodal video understanding.
Paper on exploring design spaces to facilitate household collaboration accepted to CHI 2025.
Invited talk at Korean Neuropsychiatric Association Spring Conference.
Two papers accepted to CHI 2024 Workshop on Human-centered Evaluation and Auditing of Language Models (HEAL).
DIS 2024 paper on LLM for research promotion accepted.
Invited talk at Korean Neuropsychiatric Association Jeonbuk Branch.
Two first-authored papers on LLM × Well-being accepted to CHI 2024.
Invited talk at HAI LAB seminar, SEOULTECH.
Panel talk at NAVER UX Designer Workshop.
Internship at NAVER AI Lab, working with Dr. Young-Ho Kim.
Invited talk at NAVER AI Lab.
MindScope featured in KAIST Breakthroughs.
Two CHI 2022 papers conditionally accepted.
Co-authored paper accepted to CSCW 2022.
Paper on mental health disclosure on SNS accepted to JMIR Mental Health.
Started Ph.D. at Industrial Design, KAIST.
Research
Designing AI as an Interactive Layer of Human Interpretation
AI is becoming the layer through which people perceive, navigate, and act in the world. It is no longer just generating static information, but increasingly shaping human interpretation through interaction.
AI mediates how humans understand themselves.
Exploring how AI can support mental well-being through everyday interaction and reflection.
AI mediates how humans understand the world.
Exploring how AI can help people navigate and interpret complex, multimodal information such as video.
Publications
Journal & Conference Papers
- Scientific Reports 2026
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CHI 2025
Exploring Design Spaces to Facilitate Household Collaboration for Cohabiting Couples
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CHI 2024
MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling
- CHI 2024
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DIS 2024
Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion
- JMIR Formative Research 2024
- CHI 2022
- CHI 2022
- CSCW 2022
- VRST 2022
- JMIR Mental Health 2021
- CHI 2020
- Archives of Design Research 2018
Extended Abstracts & Workshop Papers
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CHI 2024 Workshop
Workshop on Human-centered Evaluation and Auditing of Language Models (HEAL)
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CHI 2024 Workshop
Towards an Evaluation of LLM-Generated Inspiration by Developing and Validating Inspiration Scale
Workshop on Human-centered Evaluation and Auditing of Language Models (HEAL)
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CHI 2023 Workshop
DiaryMate: Exploring the Roles of Large Language Models in Facilitating AI-mediated Journaling
Workshop on Intelligent and Interactive Writing Assistants (In2Writing)
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IEEE BIGCOMP 2023
Designing a Personalized Stress Management System for Call Center Workers
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CHI 2021 Workshop
Leveraging Challenges of an Algorithm-Based Symptom Checker on User Trust through Explainable AI
Workshop on Realizing AI in Healthcare: Challenges Appearing in the Wild
- HCI Korea 2021
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CSCW 2018 Workshop
Studying Students Experiencing Mental Health Problems
Workshop on Conducting Research with Stigmatized Populations
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DIS 2017 Demo
Calm Station: An Interactive Perpetual Desk Object that Reduces Digital Distractions
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CHI 2015
Student Design Competition