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Data Navigator: An Accessibility-Centered Data Navigation Toolkit
IEEE Transactions on Visualization and Computer Graphics
|October 30, 2023
Summary
Data Navigator enhances data visualization accessibility for people with disabilities by providing navigable structures and multi-modal input support. This system aims to make creating accessible visualizations easier for developers.
Area of Science:
- Computer Science
- Human-Computer Interaction
- Accessibility Research
Background:
- Current data visualizations often exclude individuals with disabilities due to a lack of navigable structures and reliance on visual-only outputs.
- Assistive technologies are frequently incompatible with existing visualization methods, limiting access for users with disabilities.
- There is a significant need for tools that facilitate the creation of accessible data visualizations.
Purpose of the Study:
- To introduce Data Navigator, a novel system designed to address the challenges of creating accessible data visualizations.
- To enable developers to build visualizations with underlying navigable structures supporting diverse data types and relations.
- To ensure compatibility with a wide array of input modalities, including assistive technologies.
Main Methods:
- Development of Data Navigator, a system based on a dynamic graph structure.
- Implementation of support for constructing navigable lists, trees, graphs, flows, and spatial/diagrammatic/geographic relations.
- Integration of multi-modal input support, including screen readers, keyboard, speech, and gesture detection.
Main Results:
- Demonstrated ability to provide accessible navigation structures over raster images.
- Successful integration with existing toolkits at scale.
- Rapid development of novel prototypes showcasing the system's flexibility and utility.
- Support for diverse input modalities, enhancing usability for people with disabilities.
Conclusions:
- Data Navigator offers a robust solution for creating accessible data visualizations.
- The system simplifies the design and implementation process for developers.
- It represents a significant step towards inclusive data representation and accessibility in visualization.
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