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.

By: Daisuke Sato, Hironobu Takagi, Chieko Asakawa

Published in: RT0674 in 2007

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