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dc.contributor.authorEika, Evelyn
dc.contributor.authorSandnes, Frode Eika
dc.date.accessioned2016-07-09T20:16:32Z
dc.date.accessioned2017-04-05T13:44:06Z
dc.date.available2016-07-09T20:16:32Z
dc.date.available2017-04-05T13:44:06Z
dc.date.issued2016
dc.identifier.citationAntona, Margherita; Stephanidis, Constantine [Eds.] Universal Access in Human-Computer Interaction. Methods, Techniques, and Best Practices p. 49-58 Lecture Notes in Computer Science, Springer, 2016language
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/10642/4682
dc.description.abstractTexts on the web need to be readable in order to be accessible to a wide audience. WCAG2.0 states that tests should not exceed the reading level of upper secondary education . Several readability measures have been proposed over the last centur y. However, these measures give an accumulated measure of the text and do not help pinpoint specific problems in the text. This paper pro- poses a text visualization approach that emphasizes readability issues in texts. The texts are visualized in the textual domain. Th e intention of the visualization approach is to draw the attention of the author towards the aspects of the text th at potentially are hard to read, allowing the auth or to revise the text and conse- quently making the text more readable.language
dc.language.isoenlanguage
dc.publisherSpringerlanguage
dc.rightsThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-40250-5_5language
dc.subjectWCAG2.0language
dc.subjectReadabilitylanguage
dc.subjectVisualizationlanguage
dc.subjectUniversal Designlanguage
dc.subjectCognitive disabilitylanguage
dc.subjectDyslexialanguage
dc.titleAuthoring WCAG2.0-Compliant Texts for the Web through Text Readability Visualizationlanguage
dc.typePeer reviewedlanguage
dc.date.updated2016-07-09T20:16:32Z
dc.description.versionacceptedVersionlanguage
dc.identifier.cristin1367174
dc.source.isbn978-3-319-40249-9


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