Web accessibility support for visually impaired users using link content analysis

Hajime Iwata*, Naofumi Kobayashi, Kenji Tachibana, Junko Shirogane, Yoshiaki Fukazawa

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Article number116
Issue number1
Publication statusPublished - 2013


  • Accessibility
  • Link classification
  • Web page link

ASJC Scopus subject areas

  • General


Dive into the research topics of 'Web accessibility support for visually impaired users using link content analysis'. Together they form a unique fingerprint.

Cite this