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| Format: | Recurso digital |
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Zenodo
2018
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| Online Access: | https://doi.org/10.5281/zenodo.15252107 |
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Table of 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>