avatar

Yoonsu Kim

Ph.D. Student
KIXLAB, KAIST
yoonsu16@kaist.ac.kr


About Me

Hellođź‘‹! My name is Yoonsu Kim, and I am a Ph.D. student of School of Computing at KAIST.
I am working with Prof. Juho Kim at KIXLAB (KAIST Interaction Lab), and I recently graduated from KAIST AI with a Master’s Degree.

My research interests include around Human-Computer Interaction, Human-Centered AI, and Human-AI collaboration.
I am passionate about developing new interactions and systems that help people better utilize AI technology, understand the difficulties in using it or trying to use it.

Publications

    Conference papers

  1. IUI
    Understanding Users’ Dissatisfaction with ChatGPT Responses: Types, Resolving Tactics, and the Effect of Knowledge Level
    Yoonsu Kim, Jueon Lee, Seoyoung Kim, Jaehyuk Park, Juho Kim
    ACM Conference on Intelligent User Interfaces (IUI 2024).
    PDF ACM DL arXiv Project Page

  2. IMWUT
    AI-to-Human Actuation: AI Proactively Induces Humans towards Favorable Sensing Conditions
    Sungjae Cho, Yoonsu Kim, Jaewoong Jang, Inseok Hwang
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2023).
    PDF ACM DL Video

    Posters, Demos, Workshop Papers

  1. L@S
    RECIPE: How to Integrate ChatGPT into EFL Writing Education
    Jieun Han, Haneul Yoo, Yoonsu Kim, Junho Myung, Minsun Kim, Hyunseung Lim, Juho Kim, Tak Yeon Lee, Hwajung Hong, So-Yeon Ahn, Alice Oh
    Proceedings of the Tenth ACM Conference on Learning @ Scale (L@S 2023, WiP)
    PDF ACM DL

  2. KCC
    Towards Understanding the Challenges and Remedies in AI Application Development
    Dae Hyun Kim*, Yoonsu Kim*, Hyungyu Shin, Jinho Son, Juho Kim (* Corresponding authors)
    Korea Computer Congress 2023 (KCC 2023)
    PDF

  3. UbiComp/ISWC
    Demonstrating AHA: Boosting Unmodified AI's Robustness by Proactively Inducing Favorable Human Sensing Conditions
    Sungjae Cho, Jaewoong Jang, Yoonsu Kim, Inseok Hwang
    Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC '23 Adjunct)
    PDF ACM DL

    Preprints

  1. FABRIC: Automated Scoring and Feedback Generation for Essays
    Jieun Han, Haneul Yoo, Junho Myung, Minsun Kim, Hyunseung Lim, Yoonsu Kim, Tak Yeon Lee, Hwajung Hong, Juho Kim, So-Yeon Ahn, Alice Oh
    PDF arXiv


© 2024 Yoonsu Kim. Powered by Jekyll and Minimal Light theme.