Young-Ho Kim, PhD - HCI Researcher & Builder

2024 Spring-Summer Research Internship

Internship hiring for 2024 cycle is currently closed.

🏒 In-person, NAVER 1784, Jeongja, Bundang, South Korea
πŸ“… Flexible starting date, 3 months + extendable up to 3 months

I will be accepting several research interns for around 2024 spring and summer. 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. Detailed sub-agenda may include but are not limited to:

  1. πŸ’‰πŸŒ± Design and evaluations of LLM-infused health and personal well-being systems
  2. πŸ€–πŸ§‘β€πŸ€β€πŸ§‘ Human-centered advancement of LLM-driven conversational AIs
  3. β™ΏπŸ‘ΆπŸ‘΄πŸ‘©β€πŸ¦Ό Accessibility of LLM-driven conversational AIs for marginalized populations (e.g., children, older adults, people with disability...)

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.

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 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 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.

How to Apply

To apply, send me an email, titled "[Internship application] {Your name} ({Affiliation})," with your CV and a brief research plan that you want to pursue with me at NAVER. (You can find my e-mail address in my CV.) Applications will be reviewed on a rolling basis until March 2024 and may be closed earlier.

Hiring Process

Screening β†’ Coffee chat with me β†’ Iteration of research topic β†’ [Official HR process starts] β†’ Coding test β†’ Research proposal presentation β†’ Job interviews (with 2-3 research scientists)

Present and Past Interns

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

Portrait of Woosuk Seo
Woosuk Seo
PhD candidate @ Univ. of Michigan
Internship: 2023.5 - 8, 2024.5 -
Portrait of Suhyeon Yoo
Suhyeon Yoo
PhD student @ Univ. of Toronto
Internship: 2024.5 -
Portrait of Inhwa Song
Inhwa Song
Undergraduate @ KAIST
Internship: 2024.3 -
Portrait of Dasom Choi
Dasom Choi
PhD student @ KAIST
Internship: 2024.3 -
Portrait of Eunkyung Jo
Eunkyung Jo
PhD student @ Univ. of California, Irvine
Internship: 2022.6 - 9, 2023.6 - 10
CHI Best Paper
Portrait of Donghoon Shin
Donghoon Shin
PhD student @ Univ. of Washington
Internship: 2023.6 - 9
Portrait of Taewan Kim
Taewan Kim
PhD candidate @ KAIST
Internship: 2023.1 - 7
Portrait of Sukhyun Lee
Sukhyun Lee
Master student @ Yonsei University
Internship: 2023.1 - 7
Portrait of Jing Wei
Jing Wei
PhD student @ Univ. of Melbourne
Internship: 2022.5 - 7
Portrait of Mina Huh
Mina Huh
Upcoming PhD student @ Univ. of Texas, Austin
Internship: 2022.4 - 6
Publication from Internship Projects
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*
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)