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2018
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| Online-Zugang: | https://doi.org/10.5281/zenodo.15252107 |
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| _version_ | 1866902142459052032 |
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| author | Sarah Zaheer |
| author_facet | Sarah Zaheer |
| contents | <p>The <a href="https://ijetrm.com/issue/?volume=May~2018">accessible visualizations</a> need to be designed to advance inclusivity and equity, especially among<br>individuals with visual and cognitive impairments. The research combines rich literature that refers to inclusive<br>design, user modeling, and accessibility heuristics in the aim of enhancing the understanding of data by various<br>stakeholders. The key challenges in accessibility are visual complexity, inadequate color contrast, and assistive<br>technology support. The colorblind-friendly color palettes that accommodate various types of color vision<br>deficiency and screen reader-friendly graphics that present graphical information in aural or tactile format.<br>Cognitive load is countered through simplification, clear distinction, and constant pattern structure. Accessible<br>interfaces are facilitated through user-centered design and simulation methodologies that simulate disability to<br>ensure usability prior to deployment. Techniques like hyper modal dissemination, tactile visualizations, and<br>adaptive visual feedback enhance accessibility to charts and scientific data. Learning analytics, uncertainty<br>visualization, and user gaze tracking are also included to enhance personalized visualization. These accessible<br>techniques allow all users irrespective of their capability to access complex data meaningfully. The future<br>should involve further exploring the use of AI to enable visualizations to be real-time adaptable as a function of<br>user needs. This data-driven, inclusive approach has the potential to turn digital interfaces into more egalitarian<br>channels of communication and decision-making</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15252107 |
| institution | Zenodo |
| language | |
| publishDate | 2018 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | INCLUSIVE DATA VISUALIZATION: DESIGNING FOR COGNITIVE AND VISUAL ACCESSIBILITY Sarah Zaheer <p>The <a href="https://ijetrm.com/issue/?volume=May~2018">accessible visualizations</a> need to be designed to advance inclusivity and equity, especially among<br>individuals with visual and cognitive impairments. The research combines rich literature that refers to inclusive<br>design, user modeling, and accessibility heuristics in the aim of enhancing the understanding of data by various<br>stakeholders. The key challenges in accessibility are visual complexity, inadequate color contrast, and assistive<br>technology support. The colorblind-friendly color palettes that accommodate various types of color vision<br>deficiency and screen reader-friendly graphics that present graphical information in aural or tactile format.<br>Cognitive load is countered through simplification, clear distinction, and constant pattern structure. Accessible<br>interfaces are facilitated through user-centered design and simulation methodologies that simulate disability to<br>ensure usability prior to deployment. Techniques like hyper modal dissemination, tactile visualizations, and<br>adaptive visual feedback enhance accessibility to charts and scientific data. Learning analytics, uncertainty<br>visualization, and user gaze tracking are also included to enhance personalized visualization. These accessible<br>techniques allow all users irrespective of their capability to access complex data meaningfully. The future<br>should involve further exploring the use of AI to enable visualizations to be real-time adaptable as a function of<br>user needs. This data-driven, inclusive approach has the potential to turn digital interfaces into more egalitarian<br>channels of communication and decision-making</p> |
| title | INCLUSIVE DATA VISUALIZATION: DESIGNING FOR COGNITIVE AND VISUAL ACCESSIBILITY |
| url | https://doi.org/10.5281/zenodo.15252107 |