dc.contributor.author | Foley, Margaret | |
dc.date.accessioned | 2020-08-28 17:09:27 (GMT) | |
dc.date.available | 2020-08-28 17:09:27 (GMT) | |
dc.date.issued | 2020-08-28 | |
dc.date.submitted | 2020-08-20 | |
dc.identifier.uri | http://hdl.handle.net/10012/16184 | |
dc.description.abstract | Ruan 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.iso | en | en |
dc.publisher | University of Waterloo | en |
dc.subject | speech recognition | en |
dc.subject | text entry | en |
dc.subject | mobile phones | en |
dc.title | Comparing Smartphone Speech Recognition and Touchscreen Typing for Composition and Transcription | en |
dc.type | Master Thesis | en |
dc.pending | false | |
uws-etd.degree.department | David R. Cheriton School of Computer Science | en |
uws-etd.degree.discipline | Computer Science | en |
uws-etd.degree.grantor | University of Waterloo | en |
uws-etd.degree | Master of Mathematics | en |
uws.contributor.advisor | Vogel, Daniel | |
uws.contributor.affiliation1 | Faculty of Mathematics | en |
uws.published.city | Waterloo | en |
uws.published.country | Canada | en |
uws.published.province | Ontario | en |
uws.typeOfResource | Text | en |
uws.peerReviewStatus | Unreviewed | en |
uws.scholarLevel | Graduate | en |