Jungeun Lee

Jungeun Lee

Ph.D. student at HIS Lab, POSTECH

I am a Ph.D. student at HIS Lab, CSE, POSTECH, advised by Prof. Inseok Hwang. My research interests lie in HCI and ubiquitous computing, especially in personalization. I am also engaged in interdisciplinary research in areas such as health and child education.

My research focuses on principled generative personalization — personalizing common norms for individuals based on their unique characteristics and personalities by generating distinct embodiments. Currently, I am actively utilizing generative AI to understand individual diversity, create tailored embodiments for each person, and naturally integrate these into daily life. I hope that my research contributes to respecting individual uniqueness and diversity.

Latest News

Mar 2025I'll be starting an internship at NAVER AI Lab under the guidance of Dr. Young-Ho Kim! Really looking forward to it:)
Feb 2025I received the  Best Presentation Award in the Top Conference Session at HCI Korea 2025! 🎉
Feb 2025I am presenting at the Doctoral Consortium, Top Conference Session at HCI Korea 2025.
Jan 2025One paper got conditionally accepted to CHI 2025.
Jun 2024I am presenting at the Top Conference Session at KCC 2024.

Publications

Regular Publications

This is a video about EmoSync, which will be presented at CHI 2025.
ACM CHI 2025
Toward Affective Empathy via Personalized Analogy Generation: A Case Study on Microaggression
Hyojin Ju, Jungeun Lee, Seungwon Yang, Jungseul Ok, Inseok Hwang
[project] [paper] [video]
This is a video about OSOS, which was presented at CHI 2024.
ACM CHI 2024
Open Sesame? Open Salami! Personalizing Vocabulary Assessment-Intervention for Children via Pervasive Profiling and Bespoke Storybook Generation ( Honorable Mention)
Jungeun Lee, Suwon Yoon, Kyoosik Lee, Eunae Jeong, Jae-Eun Cho, Wonjeong Park, Dongsun Yim, Inseok Hwang
[project] [paper] [video]
This is a video about ProxiFit, which was presented at UbiComp 2023.
ACM UbiComp 2023
ProxiFit: Proximity Magnetic Sensing using a Single Commodity Mobile toward Holistic Weight Exercise Monitoring ACM UbiComp 2023
Jiha Kim, Younho Nam, Jungeun Lee, Young-Joo Suh, Inseok Hwang.
[project] [paper] [video]
This is a video about SleepGuru, which was presented at UIST 2022.
ACM UIST 2022
SleepGuru: Personalized Sleep Planning System for Real-life Actionability and Negotiability ACM UIST 2022
Jungeun Lee, Sungnam Kim, Minki Cheon, Hyojin Ju, JaeEun Lee, Inseok Hwang.
[project] [paper] [video]

Adjunct Publications (Posters, Demos, etc.)

Doctoral Colloquium

Demo

Honors and Awards

  • Best Presentation Award, HCI Korea 2025 - Top Conference Session
  • Honorable Mention, ACM CHI 2024
  • People’s Choice Award for Demos, ACM UbiComp 2023
  • BK21 Best Paper Award, Dept of CSE, POSTECH, 2023

Patents

  • Motion Detection Device and Method Using Earth’s Magnetic Field
    • U.S. Patent Pending (Application No. 18/973156, Application Date: 09-DEC-2024)
  • Personalized Storybook Creation System for Vocabulary Assessment and Intervention by Profiling Children’s Language Environment
    • Korea Patent Pending (Application No. 10-2024-0117641)
  • Proximity Magnetic Sensing Using a Single Commodity Mobile for Weight Exercise Monitoring
    • Korea Patent Pending (Application No. 10-2024-0086028)
  • Personalized Sleep Planning System Considering Individual Dynamic Constraints and Sleep Schedule Creating Method Using Same
    • U.S. Patent Pending (Application No. 17/886446, Application Date: 11-AUG-2022)
  • Personalized Sleep Planning System Considering Individual Dynamic Constraints and Sleep Schedules Creation Method Therefore
    • Korea Patent Pending (Application No. 10-2022-0018999)

Invited Talks

  • HCI Korea (HCIK) 2025 - Doctoral Consortium, Top Conference Session, Feb 2025
  • Korea Computer Congress (KCC) 2024 - Top Conference Session, Jun 2024
  • Korea Computer Congress (KCC) 2023 - Top Conference Session, Jun 2023
  • Google ExploreCSR Workshop for Women in EECS - Oral Presenter, Mar 2023
  • DelightRoom Co., Ltd., Aug 2022

Professional Services

Education

  • Ph.D. student, POSTECH, Computer Science and Engineering
    (Sep 2021 - Current)
  • B.S., POSTECH, Computer Science and Engineering
    (Feb 2017 - Aug 2021)

Experiences

  • Research Intern at Naver AI Lab
    (Mar 2025 - )
  • Web Developer (Intern) at Plat Corp
    (Jul 2018 - Jul 2019)