QUANTITATIVE METRIC FOR RANKING WEB ACCESSIBILITY BARRIERS BASED ON THEIR SEVERITY

Web accessibility aims at providing disabled users with a barrierfree user experience so they can use and contribute. However, not all websites comply with WCAG 2.0 which results in Web accessibility barriers in websites. Thus, assistive technologies such as screen readers would not be able to inter...

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Main Authors: Hayfa Abuaddous, Mohd Jali, Nurlida Basir
Format: Article
Language:English
Published: UUM Press 2017-04-01
Series:Journal of ICT
Online Access:https://www.scienceopen.com/document?vid=b27cb7b8-96a2-4e25-b5fa-4c0351c12221
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spelling doaj-77a67f0cb0a24df4ad813320266056772021-08-02T22:27:37ZengUUM PressJournal of ICT1675-414X2017-04-0110.32890/jict2017.16.1.8219QUANTITATIVE METRIC FOR RANKING WEB ACCESSIBILITY BARRIERS BASED ON THEIR SEVERITYHayfa AbuaddousMohd JaliNurlida BasirWeb accessibility aims at providing disabled users with a barrierfree user experience so they can use and contribute. However, not all websites comply with WCAG 2.0 which results in Web accessibility barriers in websites. Thus, assistive technologies such as screen readers would not be able to interpret the presented contents on the monitor due to these barriers and this will contribute to making websites inaccessible to disabled users. This paper proposed an innovative metric that assigns measurable weight to each identified barrier based on its severity and impacts on the accessibility level, and then ranks the barriers accordingly. Following, Web developers can fix the highly ranked severe barriers instead of wasting time in studying and fixing less severe types of barriers that may rarely occur. An experiment was conducted to check the metric validity. We found the metric was valid and thereby we suggested the usage of the metric as a valid scientific measurement.  https://www.scienceopen.com/document?vid=b27cb7b8-96a2-4e25-b5fa-4c0351c12221
collection DOAJ
language English
format Article
sources DOAJ
author Hayfa Abuaddous
Mohd Jali
Nurlida Basir
spellingShingle Hayfa Abuaddous
Mohd Jali
Nurlida Basir
QUANTITATIVE METRIC FOR RANKING WEB ACCESSIBILITY BARRIERS BASED ON THEIR SEVERITY
Journal of ICT
author_facet Hayfa Abuaddous
Mohd Jali
Nurlida Basir
author_sort Hayfa Abuaddous
title QUANTITATIVE METRIC FOR RANKING WEB ACCESSIBILITY BARRIERS BASED ON THEIR SEVERITY
title_short QUANTITATIVE METRIC FOR RANKING WEB ACCESSIBILITY BARRIERS BASED ON THEIR SEVERITY
title_full QUANTITATIVE METRIC FOR RANKING WEB ACCESSIBILITY BARRIERS BASED ON THEIR SEVERITY
title_fullStr QUANTITATIVE METRIC FOR RANKING WEB ACCESSIBILITY BARRIERS BASED ON THEIR SEVERITY
title_full_unstemmed QUANTITATIVE METRIC FOR RANKING WEB ACCESSIBILITY BARRIERS BASED ON THEIR SEVERITY
title_sort quantitative metric for ranking web accessibility barriers based on their severity
publisher UUM Press
series Journal of ICT
issn 1675-414X
publishDate 2017-04-01
description Web accessibility aims at providing disabled users with a barrierfree user experience so they can use and contribute. However, not all websites comply with WCAG 2.0 which results in Web accessibility barriers in websites. Thus, assistive technologies such as screen readers would not be able to interpret the presented contents on the monitor due to these barriers and this will contribute to making websites inaccessible to disabled users. This paper proposed an innovative metric that assigns measurable weight to each identified barrier based on its severity and impacts on the accessibility level, and then ranks the barriers accordingly. Following, Web developers can fix the highly ranked severe barriers instead of wasting time in studying and fixing less severe types of barriers that may rarely occur. An experiment was conducted to check the metric validity. We found the metric was valid and thereby we suggested the usage of the metric as a valid scientific measurement.  
url https://www.scienceopen.com/document?vid=b27cb7b8-96a2-4e25-b5fa-4c0351c12221
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AT mohdjali quantitativemetricforrankingwebaccessibilitybarriersbasedontheirseverity
AT nurlidabasir quantitativemetricforrankingwebaccessibilitybarriersbasedontheirseverity
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