Optimizing web-accessibility for deaf people and the hearing impaired utilizing a sign language dictionary embedded in a browser

Søren Staal Jensen*, Tina Øvad

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

3 Citations (Scopus)

Abstract

Deaf people have certain problems navigating on the Internet. This is a subject, which has not received adequate scientific attention. Via an experiment with both deaf and hearing people, text was identified as a problem for deaf people when navigating on websites. A prototype of a website with an embedded sign language dictionary, which translates keywords to sign language, was developed and tested against the same website without the dictionary. This test revealed that deaf people who were given the sign language prototype completed a given task significantly faster than deaf people who were given the website without the dictionary. A final test showed that deaf and hearing people use the same number of metacognitive comprehension strategies when reading on websites, but the frequency of their usage was different. Deaf people make more use of a search and match strategy, which is a behavior this prototype supports.

Original languageEnglish
JournalCognition, Technology and Work
Volume18
Issue number4
Pages (from-to)717-731
Number of pages15
ISSN1435-5558
DOIs
Publication statusPublished - 1 Nov 2016

Keywords

  • Deaf people
  • Eye tracking
  • Metacognitive comprehension strategies
  • Prototyping
  • Sign language
  • User driven innovation

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