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dc.contributor.authorFoley, Margaret
dc.date.accessioned2020-08-28 17:09:27 (GMT)
dc.date.available2020-08-28 17:09:27 (GMT)
dc.date.issued2020-08-28
dc.date.submitted2020-08-20
dc.identifier.urihttp://hdl.handle.net/10012/16184
dc.description.abstractRuan et al. found transcribing short phrases with speech recognition nearly 200% faster than typing on a smartphone. We extend this comparison to a novel composition task, using a protocol that enables a controlled comparison with transcription. Results show that both composing and transcribing with speech is faster than typing. But, the magnitude of this difference is lower with composition, and speech has a lower error rate than keyboard during composition, but not during transcription. When transcribing, speech outperformed typing in most NASA-TLX measures, but when composing, there were no significant differences between typing and speech for any measure except physical demand.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectspeech recognitionen
dc.subjecttext entryen
dc.subjectmobile phonesen
dc.titleComparing Smartphone Speech Recognition and Touchscreen Typing for Composition and Transcriptionen
dc.typeMaster Thesisen
dc.pendingfalse
uws-etd.degree.departmentDavid R. Cheriton School of Computer Scienceen
uws-etd.degree.disciplineComputer Scienceen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.degreeMaster of Mathematicsen
uws.contributor.advisorVogel, Daniel
uws.contributor.affiliation1Faculty of Mathematicsen
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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