title: Web accessibility support for visually impaired users using link content analysis.
abstract: Web pages are used for a variety of purposes. End users must understand dynamically changing content and sequentially follow page links to find desired material, requiring significant time and effort. However, for visually impaired users using screen readers, it can be difficult to find links to web pages when link text and alternative text descriptions are inappropriate. Our method supports the discovery of content by analyzing 8 categories of link types, and allows visually impaired users to be aware of the content represented by links in advance. This facilitates end users access to necessary information on web pages. Our method of classifying web page links is therefore effective as a means of evaluating accessibility.
authors.affiliation: Kanagawa Institute of Technology, 1030 Shimo-ogino, Atsugi-City, Kanagawa, Japan.
authors.forename: Hajime
authors.initials: H
authors.lastname: Iwata
authors.forename: Naofumi
authors.initials: N
authors.lastname: Kobayashi
authors.forename: Kenji
authors.initials: K
authors.lastname: Tachibana
authors.forename: Junko
authors.initials: J
authors.lastname: Shirogane
authors.forename: Yoshiaki
authors.initials: Y
authors.lastname: Fukazawa
keywords: Accessibility; Link classification; Web page link