Young-Ho Kim, PhD - HCI Researcher & Builder
Working with Me

Thank you for your interest in working with me! To streamline our conversation, please send me your CV and a brief research plan that you want to pursue with me at NAVER. Given that our interns tend to be pursuing a PhD, we don't assign you a research task; I usually have several iterations with applicants to elaborate their research plan to the direction not only that fits their thesis topic but also that can be strengthened with AI, ML, or NLP components. Typical internship period is 3 months long and can be extended by up to additional 3 months.

As you might have seen on my home and publication pages, my research interest broadly covers the personal/health informatics systems 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. It means that such directions are what I can best advise on. However, even if your research interest is quite far from mine, I will also try my best to match another mentor at NAVER AI Lab.

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

You should 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.
  • Have one or more accepted papers as the first author 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.
Present and Past Interns

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

Eunkyung Jo
PhD student @ Univ. of California, Irvine
Internship: 2022.6 - 9, 2023.6 - 11
CHI Best Paper
Donghoon Shin
PhD Student @ Univ. of Washington
Internship: 2023.6 - 9
Woosuk Seo
PhD candidate @ Univ. of Michigan
Internship: 2023.5 - 8
Taewan Kim
PhD Student @ KAIST
Internship: 2023.1 - 7
Sukhyun Lee
MS Student @ Yonsei University
Internship: 2023.1 - 7
Jing Wei
PhD student @ Univ. of Melbourne
Internship: 2022.5 - 7
Mina Huh
Upcoming PhD student @ Univ. of Texas, Austin
Internship: 2022.4 - 6
Publication from Internship Projects
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) (Accept with Minor Revision) (Full Paper)
ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events
Woosuk Seo,
Chanmo Yang,
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)
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)