Today the Internet is the most popular source of information. Therefore, web content should suit both a general audience and visually-impaired individuals. Consequently, web software products should be assessed to fulfill accessibility standards. This paper introduces an inclusive method for accessibility assessment by visually-impaired users named MIAV. The MIAV enables visually-impaired users to assess the accessibility of web software without supervision. This proposed method complies with the Web Content Accessibility Guidelines (WCAG) and the Brazilian e-Government Accessibility Model (eMAG), combining an automated approach with an approach grounded on the user experience and opinion of visually-impaired individuals. To design this method, we followed a sequence of steps. First, we carried out a pilot test to identify improvements to MIAV. Second, we had three visually-impaired students apply MIAV to assess IFFluminense's portal's, Q-Academico's and Moodle's accessibility. Finally, we ran AccessMonitor, an accessibility assessment tool advised by W3C, to evaluate the same web applications and obtained two indicators: average accessibility index and percentage of nonconformities by accessibility level. Results showed that none of the evaluated web pages met all the accessibility criteria. The resulting average accessibility index for Q-Academico, IFFluminense's portal and Moodle were 4.3 and 5.6 and 6.8 respectively. In addition, the visually-impaired students identified several accessibility issues. Therefore, we suggest improvements for the assessed web applications to provide a better user experience for visually-impaired students.

Web content should suit both a general audience and visually-impaired individuals. Therefore, Web applications should be assessed against accessibility standards as Web Content Accessibility Guidelines (WCAG) and the Brazilian e-Government Accessibility Model (eMAG). This chapter presents MIAV's development process and the obtained results. The MIAV complies with the WCAG and eMAG, combining automated and user-opinion-based assessment approaches. First, a pilot test was run to fine-tune MIAV. Next, participants were asked to identify and report several accessibility issues on IFFluminense's Portal, Q-Academico, and Moodle. They then suggested enhancements for better browsing experience. AccessMonitor was run and tested the same Web pages to generate two indicators: the average accessibility index and the percentage of nonconformities by accessibility level. Results showed that none of the evaluated applications met all the accessibility criteria. These experiments allowed IFFluminense's IT degree students to raise an awareness of the significance of Web accessibility.