Young-Ho Kim, PhD - HCI Researcher & Builder
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 internsMore
2024.5 -
2023.5 - 8
U of Michigan
2024.5 -
UToronto
2024.3 -
KAIST
2024.3 -
KAIST
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
2024.4
One paper was cond. accepted with minor revision at ACM CSCW 2024.
2024.3
Six extended abstracts will be presented at three workshops at ACM CHI 2024.
2024.1
Seven papers were accepted at ACM CHI 2024.
2024.1
Serving as an AC at CSCW 2024.
2023.12
Invited talk at Seoul National University CS Dept (in-person)
2023.9
Our work on bootstrapping zero-shot health tracking chatbots with GPT was accepted with minor revision to ACM CSCW 2024!
2023.5
Serving as an AC in Health subcommittee at CHI 2024.
2023.5
Invited talk at KAIST grad school of Science and Technology Policy.
2023.4
Attending CHI 2023 in-person.
2023.4
Received Best Paper Award at CHI 2023 for CareCall project!
2023.4
One paper was (cond.) accepted at ACM CSCW 2023.
2023.2
Participating in a Panel at HCI Korea 2023 (in-person) - "How to become a world-leading HCI researcher in Korea"
2023.1
Three papers were (cond.) accepted at ACM CHI 2023.

I am a Lead Research Scientist at NAVER AI Lab, leading the Human-Computer Interaction Research Group. As a Human-Computer Interaction researcher, I do research at the intersection of Ubiquitous Computing, Personal Health Informatics, and Personal Data Visualization. Combining my multidisciplinary knowledge in Computer Science and Visual Communication Design, I design and develop computing systems for self-tracking that empower people in the loop of human-data interaction.

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.

Academic Service

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

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 Topics
Large Language Model-infused Systems for Health & Well-being
Large Language Model-infused Systems for Health & Well-being

Recent advances in Large Language Models (LLMs) technologies opens up exciting opportunities in the field of health and well-being. For example, conversational agents equipped with LLMs can capture various human behavioral information through open-ended and versatile dialogues. I am interested in building LLM-infused computing systems that support physical/mental health and well-being, and how we should leverage and audit LLMs to make them safely behave to the target users. Specific topics include:

Flexible Human-Data Interaction in Personal Informatics
Flexible Human-Data Interaction in Personal Informatics

Personal informatics systems require signficant human efforts in both collecting and exploring the data, becuase the self-tracking process involves the user's personal context information, which is not recorded in the data. I explore ways to support such human-data interaction processes in flexible and less-structured manners, to lower the barriers of lay individuals to novel self-tracking tools.

Selected PublicationAll Publication
thumbnail for the research
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)
thumbnail for the research
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)
thumbnail for the research
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)
thumbnail for the research
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)
thumbnail for the research
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)
thumbnail for the research
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
2024.5 -
2023.5 - 8
U of Michigan
2024.5 -
UToronto
2024.3 -
KAIST
2024.3 -
KAIST
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
2024.4
One paper was cond. accepted with minor revision at ACM CSCW 2024.
2024.3
Six extended abstracts will be presented at three workshops at ACM CHI 2024.
2024.1
Seven papers were accepted at ACM CHI 2024.
2024.1
Serving as an AC at CSCW 2024.
2023.12
Invited talk at Seoul National University CS Dept (in-person)
2023.9
Our work on bootstrapping zero-shot health tracking chatbots with GPT was accepted with minor revision to ACM CSCW 2024!
2023.5
Serving as an AC in Health subcommittee at CHI 2024.
2023.5
Invited talk at KAIST grad school of Science and Technology Policy.
2023.4
Attending CHI 2023 in-person.
2023.4
Received Best Paper Award at CHI 2023 for CareCall project!
2023.4
One paper was (cond.) accepted at ACM CSCW 2023.
2023.2
Participating in a Panel at HCI Korea 2023 (in-person) - "How to become a world-leading HCI researcher in Korea"
2023.1
Three papers were (cond.) accepted at ACM CHI 2023.
Acknowledgment