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
Enhancing Data Literacy On-demand
LLMs as Guides for Novices in Chart Interpretation
NL Dataset Generation Framework for Visualizations by LLMs
a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input
News
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Jul 16
Three papers have been accepted to IEEE VIS 2026, and another two papers have been accepted to ACM UIST 2026.
Jun 05
Seokhyeon Park and Min Hyeong Kim were awarded the AI Seoul Tech Research Grant, funded by Seoul Metropolitan Government.
Mar 09
Five papers have been accepted to ACM CHI 2026, and Jiwon's paper received the Best Paper Honorable Mentions Award (Top 5% submissions).
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.