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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 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 particularly interested in 👀 understanding the difficulties users face when interacting with AI systems, 🤖 designing AI systems that enhance human capabilities from a Human-Centered perspective, and 🧑‍💻 enabling people to effectively use and collaborate with AI to amplify their abilities.

Recently, I have been particularly interested in developing user-centered interactions that support intent alignment in generative AI systems, such as large language models (LLMs). Through my work, I aim to contribute to helping people better utilize new technology 🌏❤️.

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
    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
    IMWUT 2023
    PDF ACM DL Video

    Posters, Demos, Workshop Papers

  1. EMNLP
    LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction
    Jieun Han, Haneul Yoo, Junho Myung, Minsun Kim, Hyunseung Lim, Yoonsu Kim, Tak Yeon Lee, Hwajung Hong, Juho Kim, So-Yeon Ahn, Alice Oh
    EMNLP 2024 Workshop on CustomNLP4U
    arXiv

  2. EMNLP
    LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
    Jieun Han, Haneul Yoo, Junho Myung, Minsun Kim, Hyunseung Lim, Yoonsu Kim, Tak Yeon Lee, Hwajung Hong, Juho Kim, So-Yeon Ahn, Alice Oh
    EMNLP 2024 Workshop on CustomNLP4U
    arXiv

  3. L@S
    Using Large Language Models to Diagnose Math Problem-Solving Skills at Scale
    Hyoungwook Jin*, Yoonsu Kim*, Yeon Su Park, Bekzat Tilekbay, Jinho Son, Juho Kim (* Corresponding authors)
    L@S 2024 WiP
    PDF ACM DL

  4. CHI
    Beyond Prompts: Learning from Human Communication for Enhanced AI Intent Alignment
    Yoonsu Kim, Kihoon Son, Seoyoung Kim, Juho Kim
    CHI 2024 Workshop on Getting Back Together: HCI and Human Factors Joining Forces to Meet the AI Interaction Challenge
    PDF arXiv

  5. 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
    L@S 2023 WiP
    PDF ACM DL

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

  7. UbiComp/ISWC
    Demonstrating AHA: Boosting Unmodified AI's Robustness by Proactively Inducing Favorable Human Sensing Conditions
    Sungjae Cho, Jaewoong Jang, Yoonsu Kim, Inseok Hwang
    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


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