Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/707
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dc.contributor.authorGillespie, Alex-
dc.date.accessioned2012-04-29T17:12:06Z-
dc.date.available2012-04-29T17:12:06Z-
dc.date.issued2008-06-
dc.identifier.urihttp://hdl.handle.net/1893/707-
dc.description.abstractA variety of brain pathologies can result in difficulties performing complex behavioural sequences. Assistive technology for cognition (ATC) attempts support of complex sequences with the aim of reducing disability. Traditional ATCs are cognitively demanding to use and thus have had poor uptake. A more intuitive interface may allow ATCs to reach their potential. Insights from psychological science may be useful to technologists in this area. We propose that an auditory-verbal interface is more intuitive than a visual interface and reduces cognitive demands on users. Two experiments demonstrate a novel ATC, the General User Interface for Disorders of Execution (GUIDE). GUIDE© is novel because it simulates normal conversational prompting to support task performance. GUIDE© provides verbal prompts and questions and voice recognition allows the user to interact with GUIDE. Research with non-cognitively impaired participants and a single participant experiment with a person with vascular dementia provide support for using interactive auditory-verbal interfaces. Suggestions for the future development of auditory-verbal interfaces are discusseen_UK
dc.language.isoen-
dc.publisherPavilion Publishing-
dc.relationGillespie A (2008) Simulating naturalistic instruction: The case for a voice mediated interface for assistive technology for cognition, Journal of Assistive Technologies, 2 (2), pp. 22-31.-
dc.rightsPublished in Journal of Assistive Technologies. Copyright by Pavilion Publishing.-
dc.subjectGuideen_UK
dc.subjectAssistive technologyen_UK
dc.subject.lcshSelf-help devices for people with disabilities-
dc.titleSimulating naturalistic instruction: The case for a voice mediated interface for assistive technology for cognitionen_UK
dc.typeJournal Articleen_UK
dc.citation.jtitleJournal of Assistive Technologies-
dc.citation.issn1754-9450-
dc.citation.volume2-
dc.citation.issue2-
dc.citation.spage22-
dc.citation.epage31-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusPublisher version (final published refereed version)-
dc.identifier.urlhttp://www.pavpub.com/pavpub/home/index.asp-
dc.author.emailalex.gillespie@stir.ac.uk-
dc.contributor.affiliationPsychology-
Appears in Collections:Psychology Journal Articles

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