Technology Design Recommendations Informed by Observations of Videos of Popular Musicians Teaching and Learning Songs by Ear

dc.contributor.authorLiscio, Christopher
dc.date.accessioned2024-07-11T16:19:49Z
dc.date.available2024-07-11T16:19:49Z
dc.date.issued2024-07-11
dc.date.submitted2024-07-04
dc.description.abstractInstrumentalists who play popular music often learn songs by ear, using recordings in lieu of sheet music or tablature. This practice was made possible by technology that allows musicians to control playback events. Until now, researchers have not studied the human-recording interactions of musicians attempting to learn pop songs by ear. Through a pair of studies analyzing the content of online videos from YouTube, we generate hypotheses and seek a better understanding of by-ear learning from a recording. Combined with results from neuroscience studies of tonal working memory and aural imagery, our findings reveal a model of by-ear learning that highlights note-finding as a core activity. Using what we learned, we discuss opportunities for designers to create a set of novel human-recording interactions, and to provide assistive technology for those who lack the baseline skills to engage in the foundational note-finding activity.en
dc.identifier.urihttp://hdl.handle.net/10012/20717
dc.language.isoenen
dc.pendingfalse
dc.publisherUniversity of Waterlooen
dc.subjectyoutubeen
dc.subjectlearning music by earen
dc.subjectpopular musiciansen
dc.subjecttonal working memoryen
dc.subjectaural imageryen
dc.subjectvideo content analysisen
dc.subjecthuman-computer interactionen
dc.subjecthuman-recording interactionen
dc.subjectby-ear learningen
dc.subjectmusic information retrievalen
dc.titleTechnology Design Recommendations Informed by Observations of Videos of Popular Musicians Teaching and Learning Songs by Earen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Mathematicsen
uws-etd.degree.departmentDavid R. Cheriton School of Computer Scienceen
uws-etd.degree.disciplineComputer Scienceen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.embargo.terms0en
uws.contributor.advisorBrown, Daniel
uws.contributor.affiliation1Faculty of Mathematicsen
uws.peerReviewStatusUnrevieweden
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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