Skip to content

Publications

Below are my published research papers from peer-reviewed conferences and workshops. For a complete list, please visit my Google Scholar profile.

2026

3 papers
  • IEEE VIS 2026

    Revisiting Channel Effectiveness: A Multi-Dimensional Evaluation with Primitive Visual Stimuli

    S. Lee, S. Park, M. Chang, J. Seo

    We revisit the effectiveness of visual encoding channels through a multi-dimensional evaluation using primitive visual stimuli.

  • ACM IUI 2026

    Criticality: Scaffolding Decision-Making with Interactive Critical Thinking and Evidence-Based Reasoning Traces

    M. 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.

    Paphos, Cyprus

  • IEEE PacificVis 2026

    beautiVis: An Annotated Visualization Dataset from Reddit's r/dataisbeautiful

    K. 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.

    Sydney, Australia

2025

3 papers
  • 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

    We trained a bidirectional prediction model that predicts visualization literacy based on visual attention and vice versa.

    Vienna, Austria · Acceptance rate 24.3% (131/537)

  • EuroVis 2025

    Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations

    M. 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.

    Luxembourg, Luxembourg · Acceptance rate 33% (20/60)

  • Vision Sciences Society (VSS) 2025

    Poster

    Early Stage Eye-fixations Reveal Belief-Driven Bias in Correlation Perception

    M. Chang, A. Malitek, K. Fukuda, C. X. Bearfield

    We found that early stage eye-fixations show belief-driven bias in correlation perception.

    Florida, USA

2024

2 papers
  • IEEE VIS 2024

    Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness

    S. 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.

    Florida, USA · Acceptance rate 31.9% (66/207)

  • IEEE PacificVis 2024

    CLeVer: Continual Learning Visualizer for Detecting Task Transition Failure

    M. Chang, D. Kim, H. Jeon, S. Jung, J. Seo

    Tokyo, Japan

2023

1 paper
  • IEEE BigData 2023

    Tensor Space Model-based Textual Data Augmentation for Text Classification

    M. Chang, H.-J. Kim

    Sorrento, Italy