Publications
Below are my published research papers from peer-reviewed conferences and workshops. For a complete list, please visit my Google Scholar profile.
Criticality: Scaffolding Decision-Making with Interactive Critical Thinking and Evidence-Based Reasoning Traces
Conference PaperM. Chang, A. Srinivasan, S. Palani
We introduce Criticality, a system that operationalizes the Paul-Elder Critical Thinking framework to structure reasoning into interactive elements and grounds claims in verifiable evidence.
ACM IUI
•2026
beautiVis: An Annotated Visualization Dataset from Reddit's r/dataisbeautiful
Conference PaperK. Lin, S. S. Ru, M. Chang, C. X. Bearfield
We built an annotated dataset of real-world visualizations collected from Reddit's r/dataisbeautiful community.
IEEE PacificVis
•2026
Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention
Conference PaperM. Chang, Y. Wang, H. W. Wang, Y. Zhou, A. Bulling, C. X. Bearfield
We trained a bidirectional prediction model that predicts visualization literacy based on visual attention and vice versa.
IEEE VIS
•2025
•24.3% (131/537)
Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations
Conference PaperM. Chang, Y. Wang, H. W. Wang, A. Bulling, C. X. Bearfield
We created a new annotation method where users can efficiently label the important area in a visualization.
EuroVis
•2025
•33% (20/60)
Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness
Conference PaperS. Lee, M. Chang, S. Park, J. Seo
We assessed how well image embedding models perceive visual encoding channels in charts, comparing their accuracy and discriminability against human graphical perception.
IEEE VIS
•2024
•31.9% (66/207)
CLeVer: Continual Learning Visualizer for Detecting Task Transition Failure
Conference PaperM. Chang, D. Kim, H. Jeon, S. Jung, J. Seo
IEEE PacificVis
•2024
Tensor Space Model-based Textual Data Augmentation for Text Classification
Conference PaperM. Chang, H.-J. Kim
IEEE BigData
•2023