Young-Ho Kim, PhD - HCI Researcher & Builder

2025 Spring-Summer Research Internship

🏢 In-person, NAVER Green Factory at Jeongja, Bundang, Seongnam, Gyunggi, South Korea
📅 Starting around January-June 2025, for 12 weeks + extendable up to additional 12 weeks

You will develop and execute research agenda that broadly touches personal/health informatics systems (c.f., link1, link 2) equipped with AI and NLP technologies, with methods including (1) building and evaluating novel interactive systems and (2) obtaining empirical insights around existing technology or prototyped probes.

Sub-agenda with special interest include but are not limited to:

  1. Building personal health and well-being systems leveraging multi-modal (text/speech/image/...) understanding and generation of LLMs
  2. LLM-infused visual exploration and sensemaking of semi- or un-structured personal data (e.g., photo+text journals, audio logs)
  3. Advancing/understanding AIs in relation to marginalized populations (e.g., patients, children, older adults, people with disabilities) in the health and well-being context
  4. Understanding how researchers and practitioners apply Western-trained LLMs to non-Western populations

An ideal outcome of the research internship is to submit an academic paper to top-tier venues, such as CHI, UIST, UbiComp, and CSCW.

All qualified candidates are encouraged to apply; however, priority will given to citizens or permanent residents of Korea, as well as international students enrolled in Korean domestic universities.

You are highly encouraged to meet these formal requirements:

  • Be pursuing a PhD or have received a Master's degree in Computer Science, Information Science, or other fields relevant to HCI. But if you are not in a PhD program, a track record of research would be necessary.
  • Have one or more accepted full (main) papers as a sol-first author (co-first authored papers are not counted) in CHI, UIST, CSCW, or UbiComp.

We'll achieve the most synergy if you...

  • Are receptive to guidance and open to constructive feedback.
  • Are eager to learn and leverage new research methods, technoolgies, programming languages, libraries, etc., that will help us answer our research questions.

I will try my best to help you...

  • Equip yourself with new research methods and skills.
  • Expand your research boundaries by integrating AI perspectives.
  • Experience hands-on collaboration in every aspect of research, including technical implementation, evaluation, analysis, and writing.

How to Apply

  1. Unlike in previous years, you must now apply through our formal application page first (Korean / English)

    • In the application form, under [Tell about yourself], you must provide your prospective research directions and why you are qualified to accomplish the plan within the time frame of the internship.
    • Failing to clearly state your research agenda in the application form may result in rejection during the screening phase.
  2. After applying, ping me via an email, titled "[Internship application] {Your name} ({Affiliation})" with your CV (You can find my e-mail address in my CV.) Not sending the email may delay the process.

Hiring Process

  1. Screening of application (Until the end of Feb 2025 but may be closed earlier)
  2. Coding test
  3. Proposal presentation and job interviews
Present and Past Interns

*The affiliations are based on the internship period and may not reflect the latest information.

Portrait of Suhyeon Yoo
Suhyeon Yoo
University of Toronto
Internship: 2024.5 - 9
Portrait of Inhwa Song
Inhwa Song
KAIST
Internship: 2024.3 - 9
Portrait of Dasom Choi
Dasom Choi
KAIST
Internship: 2024.3 - 9
Portrait of Woosuk Seo
Woosuk Seo
University of Michigan, Ann Arbor
Internship: 2023.5 - 8, 2024.5 - 8
Portrait of Eunkyung Jo
Eunkyung Jo
University of California, Irvine
Internship: 2022.6 - 9, 2023.6 - 10
CHI Best Paper
Portrait of Donghoon Shin
Donghoon Shin
University of Washington
Internship: 2023.6 - 9
Portrait of Taewan Kim
Taewan Kim
KAIST
Internship: 2023.1 - 7
Portrait of Sukhyun Lee
Sukhyun Lee
Yonsei University
Internship: 2023.1 - 7
Portrait of Jing Wei
Jing Wei
University of Melbourne
Internship: 2022.5 - 7
Portrait of Mina Huh
Mina Huh
University of Texas, Austin
Internship: 2022.4 - 6
Publication from Internship Projects
thumbnail for the research
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
ELMI: Interactive and Intelligent Sign Language Translation of Lyrics for Song Signing
Suhyeon Yoo,
Khai N. Truong,
and Young-Ho Kim
Arxiv (Full Paper)
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
Arxiv (Full Paper)
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)
thumbnail for the research
AVscript: Accessible Video Editing with Audio-Visual Scripts
Mina Huh,
Saelyne Yang,
Yi-Hao Peng,
Xiang 'Anthony' Chen,
Young-Ho Kim,
and Amy Pavel
ACM CHI 2023 (Full Paper)