Yeonsun Yang | Ph.D. student @ DGIST

I’m in the 4th year of a combined master’s and Ph.D. program in Electrical Engineering and Computer Science at DGIST. I work with Prof. Jean Young Song at DIAG (Designing Intelligence Augmentation Group), Yonsei University. Previously, I was a research intern at NAVER AI Lab, mentored by Dr. Young-Ho Kim.

I aim to support both humans and machines in learning to foster the skills, mindsets, and behaviors needed for well-being in daily life. To achieve this, my research focuses on creating web-based interactive learning systems that maximize learning outcomes through collaborative synergy in both human-human and human-machine interactions, enhancing engagement and personalizing experiences.

News

Dec 2025 Our paper is conditionally accepted to IUI 2026! 🥳

Nov 2025 New chapter with DIAG Lab at Yonsei Univ in Songdo 🏙️

Mar 2025 Thrilled to start a research internship @NAVER AI Lab 💼

Feb 2025 Passed my Ph.D. qualifying exam 🎓

Nov 2024 Invited talk in Intro to Social Computing @Yonsei Univ 🎙️

Oct 2024 Attending the Workshop on Ubiquitous Affective Computing @KAIST 🇰🇷

Jul 2024 SV-ing SIGCHI Korea Local Chapter 2024 🇰🇷

May 2024 Attending CHI 2024 🌺🇺🇸

Jan 2024 Attending HCI Korea 2024 🇰🇷

Jan 2024 Our paper is accepted to CHI 2024! 🥳

Sep 2023 Submitted my first first-author full paper to CHI 🤞

Aug 2023 Attending KCCV 2023 🇰🇷

Feb 2023 Attending HCI Korea 2023 🇰🇷

Jul 2022 Attending SIGCHI Korea Local Chapter 2022 🇰🇷

Apr 2022 Attending CHI 2022 virtually 👩‍💻

Feb 2022Joined the DIA Group @DGIST 💼

Archived Preprints

LingoQ: Bridging the Gap between ESL Learning and Work through AI-Generated Work-Related Quizzes

Yeonsun Yang, Sang Won Lee, Jean Y. Song, Sangdoo Yun, and Young-Ho Kim

Nonarchival preprint PDF arXiv Demo video

Easy Come, Easy Go? Examining the Perceptions and Learning Effects of LLM-based Chatbot in the Context of Search-as-Learning

Yeonsun Yang, Ahyeon Shin, Mincheol Kang, Jiheon Kang, Xu Wang, and Jean Y. Song

Nonarchival preprint PDF arXiv GitHub

International Conference Papers

Caught by Surprise, Caught by Culture: Bridging Facial Emotion Recognition and Interpretation of Surprise Across Cultures

Ha Eun Jang, Yeonsun Yang, and Jean Y. Song

ACM IUI 2026 (Conditionally Accepted)

Find the Bot!: Gamifying Facial Emotion Recognition for Both Human Training and Machine Learning Data Collection

Yeonsun Yang, Ahyeon Shin, Nayoung Kim, Huidam Woo, John Joon Young Chung, and Jean Y. Song

ACM CHI 2024 DOI PDF GitHub Demo video Presentation

Domestic Conference Papers

Analysis of Question-and-Answer Interactions with LLM-based Chatbots in Concept Learning: an Academic Performance Perspective

Yeonsun Yang*, Ahyeon Shin*, and Jean Y. Song (* Equal contribution)

HCI Korea 2025 DOI