Design for all in ICT training and education.

Keith, Suzette and Whitney, Gill ORCID logoORCID: https://orcid.org/0000-0002-3333-2154 (2009) Design for all in ICT training and education. In: Principles and practice in Europe for e-accessibility. Lanyi, Cecilia Sik, ed. EDeAN publication . Pannonian University Press, Veszprém, Hungary, pp. 63-72. ISBN 9789639696761. [Book Section]

Abstract

The ageing of the European population and the increasing reliance on the use of electronic technology for communication, employment and leisure has resulted in the need for ICT products and services to be designed to be useable by older and disabled people. This means that the designers and specifiers of these systems will need to have relevant specific knowledge about Design for All and the needs of older and disabled people. The principles of
equal rights and inclusion are encapsulated in the world of design through Design for All, Universal Design and Inclusive Design. These have a strong focus on issues of accessibility and acceptability of products and services by older and disabled people. The more recent more political and economically motivated world of Digital Inclusion also introduces a social element which draws attention to a combination of factors such as low educational attainment,
poverty, culture and geography that are correlated with low take-up of digital technology. This growing challenge of user diversity is placing new demands on our future young designers of information systems and services. Within this paper we discuss proposals and guidelines to support a European ‘Design for All in ICT’ curriculum which will enable an interdisciplinary mix of young designers, engineers and computer scientists to develop the skills and knowledge necessary to bridge the gap between them and older people, and other user groups and to design for an inclusive society.

Item Type: Book Section
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 7165
Useful Links:
Depositing User: Ms Jyoti Zade
Date Deposited: 21 Feb 2011 09:59
Last Modified: 13 Oct 2016 14:22
URI: https://eprints.mdx.ac.uk/id/eprint/7165

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