TY - GEN
T1 - System of recommendation and automatic correction of web accessibility using artificial intelligence
AU - Morillo, Paulina
AU - Chicaiza-Herrera, Diego
AU - Vallejo-Huanga, Diego
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
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%.
KW - Artificial intelligence
KW - Evaluation tool
KW - WCAG guidelines
KW - Web accessibility
KW - Web sites
UR - http://www.scopus.com/inward/record.url?scp=85068235941&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-19135-1_46
DO - 10.1007/978-3-030-19135-1_46
M3 - Contribución a la conferencia
AN - SCOPUS:85068235941
SN - 9783030191344
T3 - Advances in Intelligent Systems and Computing
SP - 479
EP - 489
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
A2 - Ahram, Tareq
A2 - Falcão, Christianne
PB - Springer Verlag
T2 - AHFE Conference on Usability and User Experience, 2019 and the AHFE Conference on Human Factors and Assistive Technology, 2019
Y2 - 24 July 2019 through 28 July 2019
ER -