We aim for excellence in transforming novel ideas
into successful research projects and into technology innovations,
which contributes to improving quality of life.
We are interested in designing, developing, and evaluating
user interfaces and interaction techniques
to help users solve their challenging problems in everyday life.
Designing intuitive interfaces and interaction techniques that enhance user experience and productivity across diverse computing platforms.
Exploring how people interact with data through visualization, analytics tools, and interactive systems to support decision-making.
Investigating how humans and AI systems can collaborate effectively, focusing on user-centered AI design.
Distortion-Aware Brushing
Distortion-aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
Dataset-Adaptive Dimensionality Reduction
Dataset-Adaptive Dimensionality Reduction for Reliable and Efficient Visual Analytics
Cluster-Label Matching
Measuring the Validity of Clustering Validation Datasets
LitWeaver
Supporting Novice Researchers to Write Literature Review using Language Models
Enhancing Data Literacy On-demand
LLMs as Guides for Novices in Chart Interpretation
Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations
What are the specific elements researchers want to see in a citation network?
News
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Jan 15
Four papers have been conditionally accepted to ACM CHI 2026!
Oct 16
Aeri's full paper on explainable DR is accepted for publication in TVCG.
Aug 21
UMATO and Distortion-aware brushing are accepted for the publication in TVCG.
Jul 15
Hyeon's full paper and Jiyeon's short paper on dimensionality reduction will appear in IEEE VIS 2025!
Jun 15
Hyeon's short paper on exploring DR literature is accepted for publication in EuroVis 2025.