Accessibility evaluation based on machine learning technique
Conference Paper, Proceedings of 8th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '06), pp. 253 - 254, October, 2006
Abstract
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.
BibTeX
@conference{Sato-2006-126528,author = {Daisuke Sato and Hironobu Takagi and Chieko Asakawa},
title = {Accessibility evaluation based on machine learning technique},
booktitle = {Proceedings of 8th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '06)},
year = {2006},
month = {October},
pages = {253 - 254},
}
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