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

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

doi:10.1007/978-3-030-19135-1_46

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

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

Research Group on Spatial Data Infrastructure Artificial Intelligence Geoportals and Applied Computing (IDE IA GEO CA)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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 language	English
Title of host publication	Advances in Usability and User Experience - Proceedings of the AHFE 2019 International Conferences on Usability and User Experience, and Human Factors and Assistive Technology
Editors	Tareq Ahram, Christianne Falcão
Publisher	Springer Verlag
Pages	479-489
Number of pages	11
ISBN (Print)	9783030191344
DOIs	https://doi.org/10.1007/978-3-030-19135-1_46
State	Published - 1 Jan 2020
Event	AHFE 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 2019 → 28 Jul 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	972
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	AHFE Conference on Usability and User Experience, 2019 and the AHFE Conference on Human Factors and Assistive Technology, 2019
Country/Territory	United States
City	Washington D.C.
Period	24/07/19 → 28/07/19

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

Keywords

Artificial intelligence
Evaluation tool
WCAG guidelines
Web accessibility
Web sites

Access to Document

10.1007/978-3-030-19135-1_46

Cite this

Morillo, P., Chicaiza-Herrera, D., & Vallejo-Huanga, D. (2020). System of recommendation and automatic correction of web accessibility using artificial intelligence. In T. Ahram, & C. Falcão (Eds.), Advances in Usability and User Experience - Proceedings of the AHFE 2019 International Conferences on Usability and User Experience, and Human Factors and Assistive Technology (pp. 479-489). (Advances in Intelligent Systems and Computing; Vol. 972). Springer Verlag. https://doi.org/10.1007/978-3-030-19135-1_46

Morillo, Paulina ; Chicaiza-Herrera, Diego ; Vallejo-Huanga, Diego. / System of recommendation and automatic correction of web accessibility using artificial intelligence. Advances in Usability and User Experience - Proceedings of the AHFE 2019 International Conferences on Usability and User Experience, and Human Factors and Assistive Technology. editor / Tareq Ahram ; Christianne Falcão. Springer Verlag, 2020. pp. 479-489 (Advances in Intelligent Systems and Computing).

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Morillo, P, Chicaiza-Herrera, D & Vallejo-Huanga, D 2020, System of recommendation and automatic correction of web accessibility using artificial intelligence. in T Ahram & C Falcão (eds), Advances in Usability and User Experience - Proceedings of the AHFE 2019 International Conferences on Usability and User Experience, and Human Factors and Assistive Technology. Advances in Intelligent Systems and Computing, vol. 972, Springer Verlag, pp. 479-489, AHFE Conference on Usability and User Experience, 2019 and the AHFE Conference on Human Factors and Assistive Technology, 2019, Washington D.C., United States, 24/07/19. https://doi.org/10.1007/978-3-030-19135-1_46

System of recommendation and automatic correction of web accessibility using artificial intelligence. / Morillo, Paulina; Chicaiza-Herrera, Diego; Vallejo-Huanga, Diego.
Advances in Usability and User Experience - Proceedings of the AHFE 2019 International Conferences on Usability and User Experience, and Human Factors and Assistive Technology. ed. / Tareq Ahram; Christianne Falcão. Springer Verlag, 2020. p. 479-489 (Advances in Intelligent Systems and Computing; Vol. 972).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chicaiza-Herrera, Diego

AU - Vallejo-Huanga, Diego

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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%.

AB - 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%.

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KW - Evaluation tool

KW - WCAG guidelines

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BT - Advances in Usability and User Experience - Proceedings of the AHFE 2019 International Conferences on Usability and User Experience, and Human Factors and Assistive Technology

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PB - Springer Verlag

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Y2 - 24 July 2019 through 28 July 2019

ER -

Morillo P, Chicaiza-Herrera D, Vallejo-Huanga D. System of recommendation and automatic correction of web accessibility using artificial intelligence. In Ahram T, Falcão C, editors, Advances in Usability and User Experience - Proceedings of the AHFE 2019 International Conferences on Usability and User Experience, and Human Factors and Assistive Technology. Springer Verlag. 2020. p. 479-489. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-19135-1_46

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this