I am a Research Scientist at NAVER AI Lab, leading the Human-Computer Interaction (HCI) Research Group. I design, develop, and evaluate Personal Informatics (PI) technologies that empower people to better learn about themselves and make positive changes in their behaviors and thoughts. Recently, I have investigated how we can leverage (generative) AIs for PI systems to acknowledge and account for the lifelong challenges of marginalized populations.

I am a recipient of International Postdoc Fellowship supported by National Research Foundation of Korea in 2019, a Best of CHI Honorable Mention award at CHI 2021, and a Best Paper award at CHI 2023.

For my permanent e-mail address, please check my CV.

Research Approaches

  1. Understand. To deeply comprehend user needs and expert practice, I conduct formative interviews and focus groups with domain experts and target populations.
  2. Design. Based on lessons learned from the formative study, I create engaging user experiences through hands-on design of visual interfaces, information architecture, and interaction patterns.
  3. Implement. I develop high-fidelity working prototypes that translate the designs into functional systems. I code across platforms using appropriate technologies to create robust implementations that support real-world evaluations.
  4. Evaluate. I evaluate the working prototypes through mixed-methods approaches including lab studies and in-the-wild deployments. My analysis combines qualitative techniques (thematic analysis) with quantitative measures to provide comprehensive insights into user experiences and system effectiveness.

Academic Service

  • ACing - ACM CHI '25 (Health), ACM CSCW '24 (Jan), ACM CHI '24 (Health), IEEE PacificVis '23

Miscellaneous Facts

🫶 My Myers–Briggs Type Indicator (MBTI) is ENFJ (Extraversion-iNtuition-Feeling-Judging).
👨‍👩‍👦 I am going to be a dad soon I'm a dad of one boy.

Short bio
2023 - Now
Leader, HCI
NAVER AI Lab
2021 - Now
Research Scientist
NAVER AI Lab
2019 - 2021
Postdoc
Univ. of Maryland
2012 - 2019
PhD (CS)
Seoul Nat'l Univ.
2007 - 2011
BFA (Design)
Seoul Nat'l Univ.
Research Area
Selected PublicationAll Publication
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AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation
Dasom Choi,
SoHyun Park,
Kyungah Lee,
Hwajung Hong,
and Young-Ho Kim
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ELMI: Interactive and Intelligent Sign Language Translation of Lyrics for Song Signing
Suhyeon Yoo,
Khai N. Truong,
and Young-Ho Kim
ACM CHI 2025 (Full Paper)
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ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models
Inhwa Song,
SoHyun Park,
Sachin R. Pendse,
Jessica Lee Schleider,
Munmun De Choudhury,
and Young-Ho Kim
ACM CHI 2025 (Full Paper)
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ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events
Woosuk Seo,
Chanmo Yang,
and Young-Ho Kim
ACM CHI 2024 (Full Paper)
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*
(*co-corresponding)
ACM CHI 2024 (Full Paper)
Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention
Eunkyung Jo,
Yuin Jeong,
SoHyun Park,
Daniel A. Epstein,
and Young-Ho Kim
ACM CHI 2024 (Full Paper)
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Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data
Jing Wei,
Sungdong Kim,
Hyunhoon Jung,
and Young-Ho Kim
PACM HCI (CSCW 2024) (Full Paper)
PlanFitting: Tailoring Personalized Exercise Plans with Large Language Models
Donghoon Shin,
Gary Hsieh,
and Young-Ho Kim
arXiv (Full Paper)
Best Paper Award
Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention
Eunkyung Jo,
Daniel A. Epstein,
Hyunhoon Jung,
and Young-Ho Kim
ACM CHI 2023 (Full Paper)
Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking
Young-Ho Kim,
Sungdong Kim,
Minsuk Chang,
and Sang-Woo Lee
NAACL 2022 Workshop on "Bridging HCI and NLP" (Short Paper)
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MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech
Young-Ho Kim,
Diana Chou,
Bongshin Lee,
Margaret Danilovich,
Amanda Lazar,
David E. Conroy,
Hernisa Kacorri,
and Eun Kyoung Choe
ACM CHI 2022 (Full Paper)
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Honorable Mention Award
Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction
Young-Ho Kim,
Bongshin Lee,
Arjun Srinivasan,
and Eun Kyoung Choe
Understanding Personal Productivity: How Knowledge Workers Define, Evaluate, and Reflect on Their Productivity
Young-Ho Kim,
Eun Kyoung Choe,
Bongshin Lee,
and Jinwook Seo
ACM CHI 2019 (Full Paper)
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OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking
Young-Ho Kim,
Jae Ho Jeon,
Bongshin Lee,
Eun Kyoung Choe,
and Jinwook Seo
PACM IMWUT (UbiComp 2017) (Journal Article)
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TimeAware: Leveraging Framing Effects to Enhance Personal Productivity
Young-Ho Kim,
Jae Ho Jeon,
Eun Kyoung Choe,
Bongshin Lee,
KwonHyun Kim,
and Jinwook Seo
ACM CHI 2016 (Full Paper)
Research internsMore
2025.3 -
POSTECH
2025.3 -
DGIST
2025.3 -
SKKU
2024.5 - 9
UToronto
2024.3 - 9
KAIST
2024.3 - 9
KAIST
2024.5 - 8
2023.5 - 8
U of Michigan
2023.6 - 10
2022.6 - 9
UC Irvine
2023.6 - 9
U of Washington
2023.1 - 7
KAIST
2023.1 - 7
Sukhyun Lee
Yonsei University
2022.5 - 7
U of Melbourne
2022.4 - 6
UT Austin
News
2025.3
Invited talk at Hongik University Visual Comm. Design (Mar 20)
2025.1
Eight papers were conditionally accepted to CHI 2025, five of which were authored by our research interns. See you in Japan.
2025.1
Invited talk at Seoul National University CS & AI (Jan 7)