Department of Industrial Design, KAIST
Bldg. N25, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
taewan@kaist.ac.kr, GitHub
My name is Taewan Kim, and I am a Ph.D. candidate in the Department of Industrial Design at KAIST, under the guidance of Prof. Hwajung Hong. I am currently a member of the DxD Lab. Before joining KAIST, I earned my M.E. in Creative Design Engineering from UNIST and my B.S. in Industrial Design from Handong University.
As a researcher in Human-Computer Interaction (HCI) with a design background, my focus is on Human-Centered AI Interaction design. This approach is based on a profound understanding of people's needs, with a particular emphasis on designing AI systems that promote mental well-being. My work has been showcased at prominent HCI conferences such as ACM CHI, CSCW, and DIS.
Currently, my research explores the role of Large Language Models (LLM) in fostering reflective behaviors among individuals. I am particularly interested in leveraging LLMs to support self-reflection and mental well-being.
By combining my strengths in mixed-method research and human-centered design, I develop artifacts, methodologies, and frameworks that inspire meaningful and positive algorithmic experiences for both HCI researchers and practitioners.
I'm actively seeking a new opportunity
๐ฐ NewsPrediction for Retrospection: Integrating Algorithmic Stress Prediction into Personal Informatics Systems
for College Students' Mental Health
Taewan Kim, Haesoo Kim, Hayeon Lee, Hwarang Goh, Shakhboz Abdigapporov, Mingon Jeong, Hyunsung Cho,
Kyungsik Han, Youngtae Noh, Sung-Ju Lee and Hwajung Hong
ACM CHI 2022 - DOI, PDF
Sad or just jealous? Using Experience Sampling to Understand and Detect Negative Affective Experiences on
Instagram
Mintra Ruensuk, Taewan Kim, Hwajung Hong, and Ian Oakley
ACM CHI 2022 - DOI, PDF
The Workplace Playbook VR: Exploring the Design Space of Virtual Reality to Foster Understanding and
Support of Autistic People in the Workplace
Jennifer G. Kim, Taewan Kim, Sungin Kim, Soyeon Jang, Stephanie Lee, Heejung Yoo, Kyungsik Han, and
Hwajung Hong
ACM CSCW 2022 - DOI, PDF
VISTA: Understanding Characteristics of Autistic People through a VR-based Interactive Social Skills
Training System
Bogoan Kim, Dayoung Jeong, Mingon Jeong, Taehyung Noh, Sung-In Kim, Taewan Kim, So-youn Jang, Hee
Jeong Yoo, Jennifer G Kim, Hwajung Hong, and Kyungsik Han
ACM VRST 2022 - DOI, PDF
Understanding University Studentsโ Experiences, Perceptions, and Attitudes Toward Peers Displaying Mental
Health-related Problems on Social Network Sites: Online Survey and Interview Study
Taewan Kim, and Hwajung Hong
JMIR Mental Health 2021 - DOI, PDF
In Helping a Vulnerable Bot, You Help Yourself: Designing a Social Bot as a Care-Receiver to Promote
Mental Health and Reduce Stigma
Taewan Kim, Mintra Ruensuk, and Hwajung Hong
ACM CHI 2020 - DOI, PDF
Design Constraints and Their Influence upon Design Outcome
Taewan Kim, James Andrew Self, and Hwajung Hong
Archives of Design Research 2018 - DOI, PDF
DiaryMate: Exploring the Roles of Large Language Models in Facilitating AI-mediated Journaling
Taewan Kim, Donghoon Shin, Young-Ho Kim, and Hwajung Hong
ACM CHI 2023 Workshop on Intelligent and Interactive Writing Assistants(In2Writing) - PDF
Leveraging challenges of an algorithm-based symptom checker on user trust through explainable AI
Youjin Hwang, Taewan Kim, Junhan Kim, Joonhwan Lee, and Hwajung Hong
ACM CHI 2021 Workshop on Realizing AI in Healthcare: Challenges Appearing in the Wild - PDF
์ง๋ณ์ ์๊ฐ ์ง๋จ์ ์ํ ์๊ณ ๋ฆฌ์ฆ ๊ธฐ๋ฐ ์ฆ์ ํ์ธ ์ ํ๋ฆฌ์ผ์ด์
์ ์ฌ์ฉ์ ๊ฒฝํ์ ๊ดํ ํ์์ ์ฐ๊ตฌ (An exploratory study on the algorithm user
experience of a symptom checker application for self-diagnosis)
Taewan Kim, Youjin Hwang, Junhan Kim, Joonhwan Lee, and Hwajung Hong
The Proceedings of HCI KOREA 2021 - PDF
Studying Students Experiencing Mental Health Problems
Taewan Kim, and Hwajung Hong
CSCW 2018 Workshop on Conducting Research with Stigmatized Populations - PDF
Calm Station: An Interactive Perpetual Desk Object that Reduces Digital Distractions
Taewan Kim, Young-Woo Park, and Hwajung Hong
ACM DIS 2017 DEMO - DOI, PDF, Video
FamCom: A Communication Service Enhancing Conversation Quality Between Elders Residing in Care Hospital
and Their Family Member
Mingu Kanng, Taewan Kim, Youngjae Kim, and Junghwan Ahn
ACM CHI 2015 Student Design Competition - DOI,
PDF, Video
Design of Human-Ai Interaction for Diary Writing With Large Language Model
In this study, we designed a technology probe to explore the opportunities and challenges of using the
Large-language model in journaling to facilitate reflection on one's past experience.
Ongoing project(Extended
Abstract)
Prediction for Retrospection: Integrating Algorithmic Stress Prediction into Personal Informatics Systems for Mental Health
In this study, we developed MindScope, an algorithm-assisted stress management system that determines user
stress levels and explains how the stress level was computed based on the user's everyday activities
captured by a smartphone. We discuss the implications of exploiting prediction algorithms and explainability
that facilitate retrospection.
ACM CHI2022
Paper
Designing Social Bot as a Care-Receiver to Promote Mental Health and Reduce Stigma
In this study, we explored design space of human-social bot interaction for assisting users on revisit their
past experiences by support-giving experience with the bot. We investigated how 55 college students
interacted with the social bot for three weeks and how these support-giving experiences affected their
mental health and stigma.
ACM CHI2020
paper
The Workplace Playbook VR: Exploring the Design Space of Virtual Reality to Foster Understanding and Support of Autistic People in the Workplace
Virtual Reality (VR) provides various opportunities for people with disabilities to improve their quality of
life. I am researching the possibilities that VR can play as a medium to promote interaction between people
with autism and neurotypical people and better understand each other. This research covers the process from
user research to VR system development and evaluation.
ACM
CSCW 2022 Paper, ACM VRST 2022 Paper
Understanding University Studentsโ Experiences, Perceptions, and Attitudes Toward Peers Displaying Mental Health-related Problems on Social Network Sites
In this paper, we investigate how students recognize, perceive, and react to peers who display mental health
related challenges on SNSs in South Korea, where young adults are the age group that is most at risk for
suicide. We discuss design implications for SNSs that would help platforms facilitate support exchanges
among peers.
JMIR Mental Health 2021 Paper
Understanding Algorithmic User Experience of Symptom Checker
An algorithm-based symptom checker is a service that predicts and informs the expected disease name based on
the symptoms entered by users and informs the user of actions to be taken afterward. In this study, we
conduct an empirical study defining challenges that prevent user trust toward algorithm-based symptom
checkers.
ACM
CHI2021 Workshop position paper
Calm Station: An Interactive Perpetual Desk Object that Reduces Digital Distractions
In this work, we present Calm Station, an interactive desk object which generate dynamic motions of a metal
marble on a wooden tray. Calm Station is designed to convey daily notifications with abstract, poetic
movements.
ACM DIS2018 Demo, Video
FamCom: A Communication Service Enhancing Conversation Quality Between Elders Residing in Care Hospital and Their Family Member
FamCom is a service which aids a patient in care hospital to feel more intimate with family members by
improving the quality of conversation.
ACM
CHI2015 Student Design Competition, Video