System of Recommendation and Automatic Correction of Web Accessibility Using Artificial Intelligence

  • Paulina MorilloEmail author
  • Diego Chicaiza-Herrera
  • Diego Vallejo-Huanga
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 972)


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%.


Artificial intelligence Web accessibility WCAG guidelines Evaluation tool Web sites 



This work was supported by IDEIAGEOCA Research Group of Universidad Politécnica Salesiana in Quito, Ecuador.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Paulina Morillo
    • 1
    Email author
  • Diego Chicaiza-Herrera
    • 2
  • Diego Vallejo-Huanga
    • 1
    • 3
    • 4
  1. 1.IDEIAGEOCA Research GroupUniversidad Politécnica SalesianaQuitoEcuador
  2. 2.Department of Computer ScienceUniversidad Politécnica SalesianaQuitoEcuador
  3. 3.Department of MathematicsUniversidad San Francisco de QuitoQuitoEcuador
  4. 4.Department of Physics and MathematicsUniversidad de las AméricasQuitoEcuador

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