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
SafePath: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment
- Wonje Jeung, Sangyeon Yoon, Minsuk Kahng, Albert No
arXiv
Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way
- Chenglong Wang, Bongshin Lee, Steven M. Drucker, Dan Marshall, Jianfeng Gao
ACM CHI Conference on Human Factors in Computing Systems (CHI 2025)
DataSentry: Building Missing Data Management System for In-the-Wild Mobile Sensor Data Collection through Multi-Year Iterative Design Approach
- Yugyeong Jung, Hei Yiu Law, Hadong Lee, Junmo Lee, Bongshin Lee, Uichin Lee
ACM CHI Conference on Human Factors in Computing Systems (CHI 2025)