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.

Research Topic

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.

Natural Language Interfaces for Data Visualization

Data-Driven Communication and Storytelling

Interactive Exploration of Text/Image/Video Data

Data Visualization for Responsible AI

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.

Evaluation of Generative AI Models

Human-in-the-loop Workflows for AI Systems

Collaboration Dynamics Between Humans and AI Agents

AI-Powered Persona Development and Application

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.

Accessible Data Visualization

Synergistic Multimodal Interaction

Mobile Data Access and Exploration

Digital Literacy for Marginalized Populations

Join Our Research Team

We are always looking for passionate and talented students to join our research group.

If you are interested in exploring human-data interaction, data visualization, or human-centered AI and want to contribute to innovative research in these fields, feel free to reach out to us (anyone in the lab) via email!
Please note that we have limited spots available, so be sure you are ready to commit to challenging and meaningful work.
Strong skills in programming (Python, JavaScript, R, or any language you are most comfortable with) and a curiosity for data-driven problem-solving are highly encouraged before contacting us.

Latest Publications

Authoring Data-Driven Chart Animations through Direct Manipulation

Yuancheng Shen, Yue Zhao, Yunhai Wang, Tong Ge, Haoyan Shi, Bongshin Lee
IEEE TVCG, in press.

When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech

Samuel Reinders, Matthew Butler, Ingrid Zukerman, Bongshin Lee, Lizhen Qu, Kim Marriott
IEEE TVCG (VIS 2024)
[Best Paper Honorable Mention Award]

View All Publications