Abstract
Accessible design for World Wide Web content has been a significant focus for many years. Guidelines, such as the W3C Web Content Accessibility Guidelines (WCAG), give designers a list of checkpoints to be used to help ensure that web content will be accessible to users with deficits. Of these deficits, however, far less attention has been paid to designing for users with cognitive deficits. In order to address this, we present an orthogonal set of cognitive ability dimensions based in modern neuroscience, the SCEMA model, which designers may use to characterize an individual user and help better inform accessible design. © Springer-Verlag Berlin Heidelberg 2007.
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Laff, M., & Rissenberg, M. (2007). Cognitive ability measures for accessible web content. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4554 LNCS, pp. 722–730). Springer Verlag. https://doi.org/10.1007/978-3-540-73279-2_80
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