Visualizing design exclusion predicted by disability data: a mobile phone case study
Change log
Authors
Waller, SD
Langdon, PM
Clarkson, PJ
Abstract
Disability data can help to predict the number of people that will be unable to use a particular product. The greatest benefits of this prediction are the design insights that help to reduce exclusion and thereby improve the product experience for a broad range of people. This paper uses a mobile phone case study to demonstrate how a set of visualization outputs from an exclusion audit can generate prioritized design insights to reduce exclusion, particularly when multiple tasks place demands on multiple capabilities.
Description
Keywords
inclusive design
Journal Title
Lecture Notes in Computer Science
Conference Name
5th International Conference on Universal Access in Human-Computer Interaction (Part I)
Journal ISSN
0302-9743
1611-3349
1611-3349
Volume Title
5614
Publisher
Springer
Publisher DOI
Sponsorship
Engineering and Physical Sciences Research Council (EP/E001777/1)