How Do Low-Vision Individuals Experience Information Visualization?
Yanan Wang, Yuhang Zhao, Yea-Seul Kim
Abstract
In recent years, there has been a growing interest in enhancing the accessibility of visualizations for people with visual impairments. While much of the research has focused on improving accessibility for screen reader users, the specific needs of people with remaining vision (i.e., low-vision individuals) have been largely unaddressed.
To bridge this gap, we conducted a qualitative study that provides insights into how low-vision individuals experience visualizations. We found that participants utilized various strategies to examine visualizations using the screen magnifiers and also observed that the default zoom level participants use for general purposes may not be optimal for reading visualizations. We identified that participants relied on their prior knowledge and memory to minimize the traversing cost when examining visualization. Based on the findings, we motivate a personalized tool to accommodate varying visual conditions of low-vision individuals and derive the design goals and features of the tool.
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Cited by top-tier papers2
- VIP-Sim: A User-Centered Approach to Vision Impairment Simulation for Accessible DesignMax Rädler, Mark Colley, Enrico RukzioUIST 2025 · 3 citations
- Improving Low-Vision Chart Accessibility via On-Cursor Visual ContextYotam Sechayk, Hennes Rave, Max Rädler, Mark Colley et al.CHI 2026 · 1 citation
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- Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic ContentAlan Lundgard, Arvind SatyanarayanIEEE VIS 2021 · 141 citations
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- Exploring Chart Question Answering for Blind and Low Vision UsersJiho Kim, Arjun Srinivasan, Nam Wook Kim, Yea-Seul KimCHI 2023 · 33 citations
- Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper FiguresKatrin Angerbauer, Nils Rodrigues, René Cutura, Seyda Öney et al.CHI 2022 · 32 citations
- What makes web data tables accessible? Insights and a tool for rendering accessible tables for people with visual impairmentsYanan Wang, Ruobin Wang, Crescentia Jung, Yea-Seul KimCHI 2022 · 27 citations
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