My name is Taewan Kim, and I work as a researcher and designer at Corporate Design Center, Samsung. I specialize in Human-Computer Interaction (HCI) and Human-AI Interaction (HAII).

My research has centered on designing AI-infused interactive systems that respect user values and autonomy. I have developed tools that facilitate self-reflection through collaboration with AI, supporting individuals to discover personal insights. Additionally, I have explored the use of VR and AI to support autistic individuals in the workplace by boosting their self-advocacy and agency.

By leveraging my expertise in mixed-method research and human-centered design, I create artifacts, methodologies, and frameworks that promote meaningful and beneficial AI-augmented experiences that support collaboration between people and AI.

Large Language Models for Mental Well-being: Facilitating Self-Reflection through Human-AI Collaboration

My research focuses on using Large Language Models (LLMs) to help people reflect on their thoughts and feelings through journaling. Projects like MindfulDiary and DiaryMate investigate how AI can be used safely and effectively in mental health settings. We work with mental health professionals to ensure our approaches are both meaningful and safe, aiming to improve the way people use journaling for mental well-being with the help of AI.
MindfulDiary (CHI '24) | DiaryMate (CHI '24) | Evaluating and Auditing LLM-Driven Chatbots for Psychiatric Patients (CHI '24 Workshop on HEAL)

Virtual Reality for Neurodivergent Individuals: Empowering Autistic Individuals by Enhancing Their Self-advocacy and Agency in the Workplace

Virtual Reality (VR) provides various opportunities for neurodivergent individuals to improve their quality of life. key aspect of this research is utilizing VR and AI to empower autistic individuals by enhancing their self-advocacy and agency in the workplace, rather than attempting to correct their behaviors.
The Workplace Playbook VR (CSCW '22) | VISTA (VRST '22)

Digital Mental Health: Innovative Approaches to Managing Mental Well-being

In the field of Digital Mental Health, my research focuses on new methods for improving mental well-being. I developed MindScope, a system that uses algorithms to monitor stress levels from daily activities captured by smartphones, helping users understand and manage their stress better. Additionally, I designed a social bot that acts as a care receiver, exploring how interactions with this bot can help people reflect on past experiences and reduce mental health stigma.
MindScope: Prediction for Reflection (CHI'22) | Gloomy: Social Bot as a Care-Receiver (CHI'20)

Journal & Conference Papers (Peer-Reviewed)

MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling
Taewan Kim, Seolyeong Bae, Hyun AH Kim, Su-woo Lee, Hwajung Hong, Chanmo Yang and Young-Ho Kim
ACM CHI 2024 - Open Access

DiaryMate: Understanding User Perceptions and Experience in Human-AI Collaboration for Personal Journaling
Taewan Kim, Donghoon Shin, Young-Ho Kim and Hwajung Hong
ACM CHI 2024 - Open Access

Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion
Hyunseung Lim, Ji Yong Cho, Taewan Kim, Jeongeon Park, Hyungyu Shin, Seulgi Choi, Sunghyun Park, Kyungjae Lee, Juho Kim, Moontae Lee and Hwajung Hong
ACM DIS 2024 - Open Access

Promoting Self-Efficacy of Individuals with Autism in Practicing Social Skills in the Workplace Using Virtual Reality and Physiological Sensors: A Feasibility Study
Sung-In Kim, So-youn Jang, Taewan Kim, Bogoan Kim, Dayoung Jeong, Taehyung Noh, Mingon Jeong, Kaely Hall, Meelim Kim, Hee Jeong Yoo, Kyungsik Han, Hwajung Hong and Jennifer G. Kim
JMIR Formative Research 2024 - Open Access

Prediction 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 - Link, 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 - Link, 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 - Link, 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 - Link, PDF

Understanding University Students’ 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 - Open Access, 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 - Link, PDF

Design Constraints and Their Influence upon Design Outcome
Taewan Kim, James Andrew Self, and Hwajung Hong
Archives of Design Research 2018 - Link, PDF

Extended Abstracts & Position Paper (Lightly Peer-Reviewed)

Evaluating and Auditing LLM-Driven Chatbots for Psychiatric Patients in Clinical Mental Health Settings
Taewan Kim,Seolyeong Bae, Hyun AH Kim, Su-woo Lee, Hwajung Hong, Chanmo Yang and Young-Ho Kim
ACM CHI 2024 Workshop on on Human-centered Evaluation and Auditing of Language Models(HEAL) - PDF

Towards an Evaluation of LLM-Generated Inspiration by Developing and Validating Inspiration Scale
Hyungyu Shin, Seulgi choi, Ji Yong Cho, Sahar Admoni, Hyunseung Lim, Taewan Kim, Hwajung Hong, Moontae Lee and Juho Kim
ACM CHI 2024 Workshop on on Human-centered Evaluation and Auditing of Language Models(HEAL) - 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

Designing a Personalized Stress Management System for Call Center Workers
Kwangyoung Lee, Hyunseung Lim, Sooyeon Ahn, Taewan Kim, and Hwajung Hong
IEEE 2023 International Conference on Big Data and Smart Computing (BIGCOMP) - Link

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

질병의 자가 진단을 위한 알고리즘 기반 증상 확인 애플리케이션의 사용자 경험에 관한 탐색적 연구 (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 - Link, 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 - Link, PDF, Video