Use of Google APIS to automatically recommended web accessibility corrections, a multimedia approach.

Abstract

This paper aims to present the development of a Web application, which seeks to eliminate accessibility barriers and the gap between information and the user will be minimal and offer Web developers a platform that facilitates the creation of website accessible. The tool identifies and corrects Web accessibility barriers focused on multimedia elements. In the first stage, the tool evaluates the level of accessibility using three external tools: OAW, Tenon, and Achecker. The second stage consists of minimizing the accessibility barriers found in the content, using the artificial intelligence services of Google to describe the multimedia elements that present accessibility problems. In the final stage, the tool collects all the corrections made by the user and provides a document containing all the problems solved and another document with the results of the evaluations obtained by the three evaluation tools, after the correction. The experiments conducted on four Web categories show an increase of 2.57% over the level initially evaluated, for a compliance level A of WCAG 2.0.