Human-Data Interaction Lab
The Human-Data Interaction Lab is a research group within the Department of Computer Science at Yonsei University, dedicated to exploring the interaction between data and humans.
Recent News
Research Topics
Data Visualization
Data visualization is the practice of transforming raw data into graphical representations that are easy to understand, interpret, and act upon. It bridges the gap between complex datasets and meaningful insights, enabling researchers and stakeholders to make informed decisions.
Human-AI Interaction and Collaboration
Investigate how humans and AI collaborate effectively through visualization. Our research explores various aspects of human-AI interaction, ensuring that AI systems are designed with human needs and feedback in mind.
Inclusive Data Experiences
Ensure accessibility and inclusivity in data visualization. Our research focuses on designing data experiences that are adaptable to diverse user needs, enabling equitable access to information regardless of ability, device, or background.
Latest Publications
Do MLLMs Capture How Interfaces Guide User Behavior? A Benchmark for Multimodal UI/UX Design Understanding
- Jaehyun Jeon, Min Soo Kim, Janghan Yoon, Sumin Shim, Yejin Choi, Hanbin Kim, Dae Hyun Kim, Youngjae Yu
Annual Meeting of the Association for Computational Linguistics (ACL 2026)
Who Defines “Best”? Towards Interactive, User-Defined Evaluation of LLM Leaderboards
- Minji Jung, Minjae Lee, Yejin Kim, Sarang Choi, Minsuk Kahng
ACM Conference on Fairness, Accountability, and Transparency (FAccT 2026)
Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
- Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R McKee, Verena Rieser, Murray Shanahan, Laura Weidinger
International Conference on Learning Representations (ICLR 2026)