System of recommendation and automatic correction of web accessibility using artificial intelligence

Paulina Morillo, Diego Chicaiza-Herrera, Diego Vallejo-Huanga

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work presents the development of a Web system that allows the identification, evaluation and automatic correction of Web accessibility barriers associated with multimedia elements. The analysis carried out by the tool takes into account the conformance level A of WCAG 2.0 standard. Web system takes as input the URL of the Web page to be evaluated to connect and send the evaluation request to three Web Content Analysis APIs: OAW, Tenon, and Achecker. The results of the evaluations are sent to the artificial intelligence services of Google, to obtain an adequate description of multimedia items that are not correctly labeled. Finally, the system proposes a holistic automatic correction of the website source code and allows the result to be exported. To test the effectiveness of the tool were evaluated 54 websites, in different sectors such as government, education, finance, etc. The results show an average increase of 2.57% in web accessibility conformance level, reaching a maximum increase of 24%.

Original languageEnglish
Title of host publicationAdvances in Usability and User Experience - Proceedings of the AHFE 2019 International Conferences on Usability and User Experience, and Human Factors and Assistive Technology
EditorsTareq Ahram, Christianne Falcão
PublisherSpringer Verlag
Pages479-489
Number of pages11
ISBN (Print)9783030191344
DOIs
StatePublished - 1 Jan 2020
EventAHFE Conference on Usability and User Experience, 2019 and the AHFE Conference on Human Factors and Assistive Technology, 2019 - Washington D.C., United States
Duration: 24 Jul 201928 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume972
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Conference on Usability and User Experience, 2019 and the AHFE Conference on Human Factors and Assistive Technology, 2019
Country/TerritoryUnited States
CityWashington D.C.
Period24/07/1928/07/19

Bibliographical note

Funding Information:
Acknowledgments. This work was supported by IDEIAGEOCA Research Group of Univer-sidad Politécnica Salesiana in Quito, Ecuador.

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

  • Artificial intelligence
  • Evaluation tool
  • WCAG guidelines
  • Web accessibility
  • Web sites

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