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

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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%.

Idioma originalInglés
Título de la publicación alojadaAdvances in Usability and User Experience - Proceedings of the AHFE 2019 International Conferences on Usability and User Experience, and Human Factors and Assistive Technology
EditoresTareq Ahram, Christianne Falcão
EditorialSpringer Verlag
Páginas479-489
Número de páginas11
ISBN (versión impresa)9783030191344
DOI
EstadoPublicada - 1 ene. 2020
EventoAHFE Conference on Usability and User Experience, 2019 and the AHFE Conference on Human Factors and Assistive Technology, 2019 - Washington D.C., Estados Unidos
Duración: 24 jul. 201928 jul. 2019

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen972
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

ConferenciaAHFE Conference on Usability and User Experience, 2019 and the AHFE Conference on Human Factors and Assistive Technology, 2019
País/TerritorioEstados Unidos
CiudadWashington D.C.
Período24/07/1928/07/19

Nota bibliográfica

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

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