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dc.contributor.advisorCaird, Jeff
dc.contributor.authorSimmons, Sarah
dc.date.accessioned2016-08-19T16:13:32Z
dc.date.available2016-08-19T16:13:32Z
dc.date.issued2016
dc.date.submitted2016en
dc.identifier.citationSimmons, S. (2016). Do In-Vehicle Systems Utilizing Voice-Recognition Technology Impact Driving Performance? A Systematic Review and Meta-Analysis (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/25733en_US
dc.identifier.urihttp://hdl.handle.net/11023/3190
dc.description.abstractNewer model vehicles are often equipped with or capable of supporting hands-free systems that use voice-recognition technology. Although voice-recognition technology is viewed favourably among the public, it is not clear whether these systems should be considered safe alternatives to traditional handheld phones and visual-manual integrated systems. To answer this question, an exhaustive search was conducted to capture all experimental studies involving secondary tasks with voice-recognition systems where driving performance was measured. Meta-analyses for the performance measures of detection, reaction time, lateral control and longitudinal control were conducted with 43 studies meeting inclusion criteria. Some driving performance benefits were observed relative to visual-manual systems, but there were also considerable impairments relative to baseline driving. The results of the study indicate that voice-recognition systems, despite minimizing eyes-off-road time, have a distraction cost. Implications for driver education, voice-recognition system design and future research are also discussed.en_US
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectPsychology--Cognitive
dc.subjectPsychology--Experimental
dc.subject.classificationdriver distractionen_US
dc.subject.classificationdriving performanceen_US
dc.subject.classificationvoice-recognitionen_US
dc.subject.classificationspeech-to-texten_US
dc.titleDo In-Vehicle Systems Utilizing Voice-Recognition Technology Impact Driving Performance? A Systematic Review and Meta-Analysis
dc.typemaster thesis
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25733
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplinePsychology
thesis.degree.grantorUniversity of Calgary
atmire.migration.oldid4758
dc.contributor.committeememberO'Neill, Tom
dc.contributor.committeememberProtzner, Andrea
dc.contributor.committeememberSteel, Piers
dc.publisher.placeCalgaryen
ucalgary.item.requestcopytrue


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