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.
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Laff, M., Rissenberg, M. (2007). Cognitive Ability Measures for Accessible Web Content. In: Stephanidis, C. (eds) Universal Acess in Human Computer Interaction. Coping with Diversity. UAHCI 2007. Lecture Notes in Computer Science, vol 4554. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73279-2_80
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DOI: https://doi.org/10.1007/978-3-540-73279-2_80
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