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Web accessibility support for visually impaired users using link content analysis
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing AG
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648682/ https://www.ncbi.nlm.nih.gov/pubmed/23667799 http://dx.doi.org/10.1186/2193-1801-2-116 |
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author | Iwata, Hajime Kobayashi, Naofumi Tachibana, Kenji Shirogane, Junko Fukazawa, Yoshiaki |
author_facet | Iwata, Hajime Kobayashi, Naofumi Tachibana, Kenji Shirogane, Junko Fukazawa, Yoshiaki |
author_sort | Iwata, Hajime |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3648682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer International Publishing AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-36486822013-05-09 Web accessibility support for visually impaired users using link content analysis Iwata, Hajime Kobayashi, Naofumi Tachibana, Kenji Shirogane, Junko Fukazawa, Yoshiaki Springerplus Research 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. Springer International Publishing AG 2013-03-18 /pmc/articles/PMC3648682/ /pubmed/23667799 http://dx.doi.org/10.1186/2193-1801-2-116 Text en © Iwata et al.; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Iwata, Hajime Kobayashi, Naofumi Tachibana, Kenji Shirogane, Junko Fukazawa, Yoshiaki Web accessibility support for visually impaired users using link content analysis |
title | Web accessibility support for visually impaired users using link content analysis |
title_full | Web accessibility support for visually impaired users using link content analysis |
title_fullStr | Web accessibility support for visually impaired users using link content analysis |
title_full_unstemmed | Web accessibility support for visually impaired users using link content analysis |
title_short | Web accessibility support for visually impaired users using link content analysis |
title_sort | web accessibility support for visually impaired users using link content analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648682/ https://www.ncbi.nlm.nih.gov/pubmed/23667799 http://dx.doi.org/10.1186/2193-1801-2-116 |
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