Prediction of Web Page Accessibility Based on Structural and Textual Features
Sina Bahram, Debadeep Sen, Robert St. Amant · 2011 · Proceedings of the International Cross-Disciplinary Conference on Web Accessibility (W4A)
This paper from NC State University explores whether machine learning classifiers can predict the accessibility of web pages based on structural and textual features of their DOM — features that are independent of explicit accessibility markup like alt text or ARIA attributes.…
machine learning · accessibility evaluation · automated testing · visual impairment · web accessibility