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

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.