A feasibility study on filtering low-accessibility web pages considering color vision deficiency
For web accessibility researchers and practitioners, this is an incremental step toward automated accessibility evaluation for CVD users.
This study explores automatically filtering web pages with low accessibility for color vision deficiency (CVD) users. A prediction model achieved a maximum AUC of 0.76 on 21 web pages, demonstrating feasibility.
Recently, the importance of universal design has increased. Color universal design (CUD) is one type of universal design that takes people with color vision deficiency (CVD) into consideration. Websites are important media for providing various types of information and functions. Therefore, it is essential to enhance the accessibility of web pages by incorporating CUD principles. The goal of our study is to help improve the accessibility of web pages. Our approach is to automatically filter low-accessibility web pages. To evaluate the feasibility of this approach, we conducted an experiment using 21 web pages. The prediction model identified low-accessibility pages with reasonable accuracy, achieving a maximum AUC of 0.76.