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
Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior
- Minjae Lee, Minsuk Kahng
ACM CHI Conference on Human Factors in Computing Systems (CHI 2026)
Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation
- Aeree Cho, Grace C. Kim, Alexander Karpekov, Seongmin Lee, Alec Helbling, Benjamin Hoover, Zijie J. Wang, Minsuk Kahng, Duen Horng Chau
ACM CHI Conference on Human Factors in Computing Systems (CHI 2026)
DiaryPlay: AI-Assisted Creation of Interactive Story Vignettes for Everyday Storytelling
- Jiangnan Xu, Haeseul Cha, Gosu Choi, Gyu-cheol Lee, Yeo-Jin Yoon, Zucheul Lee, Konstantinos Papangelis, Dae Hyun Kim, Juho Kim
ACM CHI Conference on Human Factors in Computing Systems (CHI 2026)