Accessibility evaluation based on machine learning technique

Presentation documents are used in several situations. However, there is no tool to sufficiently check the accessibility level of a presentation document. Traditional rule-based checking has limitations in checking semantic criteria. This paper describes a new approach to evaluate the accessibility of presentation documents using machine learning with a model built from features of a presentation's appearance. A prototype system was implemented, and an exploratory experiment was conducted.