Enabling accessibility and enhancing web experience: ordering search results according to user needs

Authors:
Alice Good;Jenny Jerrams-Smith
Affiliations:
Department of Information Systems and Computer Applications, Burnaby Terrace, University of Portsmouth, UK;Department of Information Systems and Computer Applications, Burnaby Terrace, University of Portsmouth, UK
Venue:
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: applications and services
Year:
2007

Citing 2
Cited 3

Proactive computing

Communications of the ACM
Enabling accessibility and enhancing web experience: ordering search results according to user needs

UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: applications and services

Enabling accessibility and enhancing web experience: ordering search results according to user needs

UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: applications and services
Enriching information retrieval results with web accessibility measurement

Journal of Web Engineering
A method to automate the ranking of web pages according to user defined accessibility ratings

UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: design for all and eInclusion - Volume Part I

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Abstract

This paper presents the results of an exploratory study, which aimed to devise a means of improving web accessibility for users with impairments. It looks at how web pages can be rated for accessibility using specific algorithms. These algorithms analyse and select web pages according to user preferences. The study gathered user defined ratings of web page elements, for different categories of special needs' users that affect accessibility. The algorithms were then created using the results of these ratings. The paper also demonstrates the work in progress in relation to the extension of the Computer Aided Internet Navigation (CAIN) system, which aims to improve accessibility to web based information by re-ordering search results according to user needs.