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
From Perception to Decision: Assessing the Role of Chart Types Affordances in High-Level Decision Tasks
- Yixuan Li, Emery D Berger, Minsuk Kahng, Cindy Xiong Bearfield
IEEE Visualization Conference (VIS 2025)
When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
- Dasol Choi, Jihwan Lee, Minjae Lee, Minsuk Kahng
arXiv
From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models
- Jessica Quaye, Charvi Rastogi, Alicia Parrish, Oana Inel, Minsuk Kahng, Lora Aroyo, Vijay Janapa Reddi
arXiv