Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures
Katrin Angerbauer, Nils Rodrigues, René Cutura, Seyda Öney, Nelusa Pathmanathan, Cristina Morariu, Daniel Weiskopf, Michael Sedlmair
Abstract
We present an exploratory study on the accessibility of images in publications when viewed with color vision deficiencies (CVDs). The study is based on 1,710 images sampled from a visualization dataset (VIS30K) over five years. We simulated four CVDs on each image. First, four researchers (one with a CVD) identified existing issues and helpful aspects in a subset of the images. Based on the resulting labels, 200 crowdworkers provided 30,000 ratings on present CVD issues in the simulated images. We analyzed this data for correlations, clusters, trends, and free text comments to gain a first overview of paper figure accessibility. Overall, about 60 % of the images were rated accessible. Furthermore, our study indicates that accessibility issues are subjective and hard to detect. On a meta-level, we reflect on our study experience to point out challenges and opportunities of large-scale accessibility studies for future research directions.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get fffdfc1e-1bab-4ef9-8f6d-e05bea12be1cCited by top-tier papers5
- Front Row: Automatically Generating Immersive Audio Representations of Tennis Broadcasts for Blind ViewersGaurav Jain, Basel Hindi, Connor Courtien, Xin Yi Therese Xu et al.UIST 2023 · 16 citations
- Color Maker: a Mixed-Initiative Approach to Creating Accessible Color MapsAmey A. Salvi, Kecheng Lu, Michael E. Papka, Yunhai Wang et al.CHI 2024 · 11 citations
- Perceptual Pat: A Virtual Human Visual System for Iterative Visualization DesignSungbok Shin, Sanghyun Hong, Niklas ElmqvistCHI 2023 · 11 citations
- How Do Low-Vision Individuals Experience Information Visualization?Yanan Wang, Yuhang Zhao, Yea-Seul KimCHI 2024 · 5 citations
- Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a LegendHongxu Liu, Xinyu Chen, Haoyang Zheng, Manyi Li et al.IEEE VIS 2025 · 1 citation
Related papers
- The Hue-Man Factor: An Empirical Evaluation of Visualization Perception and Accessibility Across Color Vision ProfilesZhuojun Jiang, Anjana Arunkumar, Chris BryanIEEE VIS 2025
- Assessing Image Quality Issues for Real-World ProblemsTai-Yin Chiu, Yinan Zhao, Danna GurariCVPR 2020
- Analyzing Accessibility Reviews Associated with Visual Disabilities or Eye ConditionsAlberto Dumont Alves Oliveira, Paulo Sérgio Henrique Dos Santos, Wilson Estécio Marcílio Júnior, Wajdi M. Aljedaani et al.CHI 2023 · 38 citations
- Accessibility issues in Android apps: state of affairs, sentiments, and ways forwardAbdulaziz Alshayban, Iftekhar Ahmed, Sam MalekICSE 2020 · 130 citations
- Visualization Accessibility in the Wild: Challenges Faced by Visualization DesignersShakila Cherise S. Joyner, Amalia Riegelhuth, Kathleen Garrity, Yea-Seul Kim et al.CHI 2022 · 42 citations
