Minsuk Chang
PhD student, Visualization Lab at Georgia Tech
My research field is Data Visualization and Human-Computer Interaction, understanding and supporting how humans perceive and interact with data. I try to combine cognitive science and computing to better support human-AI interaction.
I'm a 3rd-year PhD student advised by Cindy Xiong Bearfield. I've interned at Tableau Research @ Salesforce (Summer 2025) and the Superintelligence Lab at LG AI Research (Summer 2026). This fall, I'm joining Dolby Laboratories' Advanced Technology Group as a PhD Research Intern.
Data Visualization · Human-AI Interaction · Eye-tracking · Decision-Support Systems · Cognitive Science
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News
- August 2026
I gave a talk on gaze tracking in data visualization at Dagstuhl Seminar 26361 in Germany.
- August 2026
I'm joining Dolby Laboratories' Advanced Technology Group in Atlanta as a PhD Research Intern this fall!
- July 2026
Our paper on channel effectiveness and graphical perception was accepted to IEEE VIS 2026 as a full paper!
- July 2026
I gave an invited talk on critical thinking in data visualization at the HCI Lab at Seoul National University.
Earlier newsHide earlier news
- May 2026
Starting my internship at the Superintelligence Lab at LG AI Research this summer.
- April 2026
I successfully passed my CS PhD qualifying exam!
- February 2026
The AI-Based Literacy Score Prediction Model is now open! Visit the Literacy Test page to check whether you are expert or novice in visualization literacy.
- January 2026
Our paper on decision-making and critical thinking was accepted to ACM IUI 2026! See you in Paphos!
- October 2025
Our paper on visualization literacy and visual attention was accepted to IEEE VIS 2025! See you all in Vienna!
- May 2025
Starting my Summer Research Internship at Tableau Research @ Salesforce.
- April 2025
Two papers accepted to EuroVis 2025 and VSS 2025.
- August 2024
Started my PhD journey at Georgia Tech, advised by Dr. Cindy Xiong Bearfield.
- February 2024
Our paper on assessing graphical perception was accepted to IEEE VIS 2024.
- January 2024
Paper on continual learning visualization accepted to IEEE PacificVis 2024.
Selected publications
All publications
IEEE VIS 2025
Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention
M. Chang, Y. Wang, H. W. Wang, Y. Zhou, A. Bulling, C. X. Bearfield
EuroVis 2025
Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations
M. Chang, Y. Wang, H. W. Wang, A. Bulling, C. X. Bearfield
IEEE VIS 2024
Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness
S. Lee, M. Chang, S. Park, J. Seo
IEEE PacificVis 2024
CLeVer: Continual Learning Visualizer for Detecting Task Transition Failure
M. Chang, D. Kim, H. Jeon, S. Jung, J. Seo