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dc.contributor.authorZinck, Graeme
dc.date.accessioned2022-09-02 20:14:26 (GMT)
dc.date.available2022-09-02 20:14:26 (GMT)
dc.date.issued2022-09-02
dc.date.submitted2022-08-08
dc.identifier.urihttp://hdl.handle.net/10012/18713
dc.description.abstractIn voice-based interfaces, non-verbal features represent a simple and underutilized design space for hands-free, language-agnostic interactions. This work evaluates the performance of three fundamental types of voice-based musical interactions: pitch, interval, and melody. These interactions involve singing or humming a sequence of one or more notes. A 21-person study evaluates the feasibility and enjoyability of these interactions. The top performing participants were able to perform all interactions reasonably quickly (<5s) with average error rates between 1.3% and 8.6% after training. Others improved with training but still had error rates as high as 46% for pitch and melody interactions. The majority of participants found all tasks enjoyable. Using these results, we propose design considerations for using singing interactions as well as potential use cases for both standard computers and augmented reality glasses.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.relation.urihttps://github.com/exii-uw/evaluating-singing-inputen
dc.subjectmusicen
dc.subjectnon-verbal vocal interactionsen
dc.subjectsingingen
dc.subjectinteraction techniquesen
dc.subjecthuman-computer interactionen
dc.titleEvaluating Singing for Computer Input Using Pitch, Interval and Melodyen
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-etd.embargo.terms0en
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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