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Hands-Free User Interaction for Accessible Computing

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dc.contributor.advisorMacKenzie, I Scott
dc.contributor.authorHassan, Mehedi
dc.date.accessioned2019-11-22T18:39:09Z
dc.date.available2019-11-22T18:39:09Z
dc.date.copyright2019-05
dc.date.issued2019-11-22
dc.date.updated2019-11-22T18:39:09Z
dc.degree.disciplineComputer Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractThree experiments were conducted to compare hands-free and hands-on input methods for accessible computing. The first experiment compared hands-free and hands-on text-entry on a smart-phone. EVA Facial Mouse, an Android application, was used for facial tracking for the hands-free phase of the experiment. The second experiment used the Fitts law two-dimensional task in ISO 9241-9 to evaluate hands-free and hands-on point-select tasks on a laptop computer. We used a facial-tracking software called Camera Mouse in combination with dwell-time selection. The third user study compared Camera Mouse with the keyboard and touchpad of a laptop to play a simple yet well known game: Snake. A case study was also conducted with a physically challenged participant for the hands-free phase of the gaming experiment. Our key finding from the three experiments and the case study is that the hands-free methods are not yet as well-performing as the hands-on methods.
dc.identifier.urihttp://hdl.handle.net/10315/36679
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer science
dc.subject.keywordsAccessible computing
dc.subject.keywordsfacial tracking
dc.subject.keywordshands-free input.
dc.titleHands-Free User Interaction for Accessible Computing
dc.typeElectronic Thesis or Dissertation

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