Data Navigator: An Accessibility-Centered Data Navigation Toolkit

Elavsky, Frank; Nadolskis, Lucas; Moritz, Dominik

doi:10.1109/tvcg.2023.3327393

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…This led to the development of Olli, a JavaScript library that converts existing data visualizations into keyboard-navigable treeview structures with text descriptions to make them accessible to screen reader users [4]. While not exclusively focused on textual description alone, a node-link graph structure, called Data Navigator, was also proposed to enable visualization authors to generically represent diverse data relationships, such as trees, flows, and geographic maps in assistive technology compatible forms [14].…”

Section: Textual Descriptionsmentioning

confidence: 99%

MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation

Seo,

Xia,

Lee

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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This paper investigates new data exploration experiences that enable blind users to interact with statistical data visualizations-bar plots, heat maps, box plots, and scatter plots-leveraging multimodal data representations. In addition to sonification and textual descriptions that are commonly employed by existing accessible visualizations, our MAIDR (multimodal access and interactive data representation) system incorporates two additional modalities (braille and review) that offer complementary benefits. It also provides blind users with the autonomy and control to interactively access and understand data visualizations. In a user study involving 11 blind participants, we found the MAIDR system facilitated the accurate interpretation of statistical visualizations. Participants exhibited a range of strategies in combining multiple modalities, influenced by their past interactions and experiences with data visualizations. This work accentuates the overlooked potential of combining refreshable tactile representation with other modalities and elevates the discussion on the importance of user autonomy when designing accessible data visualizations. CCS CONCEPTS• Human-centered computing → Visualization design and evaluation methods; Accessibility systems and tools.

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Section: Textual Descriptionsmentioning

confidence: 99%

MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation

Seo,

Xia,

Lee

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Advancing the science of visualization of health data for lay audiences

Arcia,

Benda,

2024

Journal of the American Medical Informatics Association

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AutoVizuA11y: A Tool to Automate Screen Reader Accessibility in Charts

Duarte,

Costa,

Bizarro

et al. 2024

Computer Graphics Forum

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Charts remain widely inaccessible on the web for users of assistive technologies like screen readers. This is, in part, due to data visualization experts still lacking the experience, knowledge, and time to consistently implement accessible charts. As a result, screen reader users are prevented from accessing information and are forced to resort to tabular alternatives (if available), limiting the insights that they can gather. We worked with both groups to develop AutoVizuA11y, a tool that automates the addition of accessible features to web‐based charts. It generates human‐like descriptions of the data using a large language model, calculates statistical insights from the data, and provides keyboard navigation between multiple charts and underlying elements. Fifteen screen reader users interacted with charts made accessible with AutoVizuA11y in a usability test, thirteen of which praised the tool for its intuitive design, short learning curve, and rich information. On average, they took 66 seconds to complete each of the eight analytical tasks presented and achieved a success rate of 89%. Through a SUS questionnaire, the participants gave AutoVizuA11y an “Excellent” score — 83.5/100 points. We also gathered feedback from two data visualization experts who used the tool. They praised the tool availability, ease of use and functionalities, and provided feedback to add AutoVizuA11y support for other technologies in the future.

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Data Navigator: An Accessibility-Centered Data Navigation Toolkit

Cited by 3 publications

References 35 publications

MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation

MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation

Advancing the science of visualization of health data for lay audiences

AutoVizuA11y: A Tool to Automate Screen Reader Accessibility in Charts

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