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Visualizing design exclusion predicted by disability data: a mobile phone case study


Type

Conference Object

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

Volume Title

5614

Publisher

Springer
Sponsorship
Engineering and Physical Sciences Research Council (EP/E001777/1)