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

Alice Good, Jenny Jerrams-Smith

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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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.
Original languageEnglish
Title of host publicationUniversal access in human-computer interaction. Applications and services
Subtitle of host publication4th international conference on universal access in human-computer interaction, UAHCI 2007 held as part of HCI International 2007 Beijing, China, July 22-27, 2007 proceedings, part III
EditorsConstantine Stephanidis
Place of PublicationHeidelberg
PublisherSpringer
Pages34-44
ISBN (Electronic)9783540732839
ISBN (Print)9783540732822
DOIs
Publication statusPublished - 2007
Event4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 - Beijing, China
Duration: 22 Jul 200727 Jul 2007

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume4556
ISSN (Print)0302-9743

Conference

Conference4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007
CountryChina
CityBeijing
Period22/07/0727/07/07

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