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GestAnnot: A Paper Annotation Tool for Tablet

dc.contributor.authorSingh, Varinder
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Computer Scienceen_US
dc.contributor.departmentFaculty of Computer Scienceen_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorDr. Dirk Arnolden_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerDr. Derek Reillyen_US
dc.contributor.thesis-readerDr. Denis Riordanen_US
dc.contributor.thesis-supervisorDr. Jamie Blustein, Dr. Kirstie Hawkeyen_US
dc.date.accessioned2013-12-23T17:58:05Z
dc.date.available2013-12-23T17:58:05Z
dc.date.defence2013-12-12
dc.date.issued2013-12-23
dc.description.abstractActive Reading is an important part of a knowledge worker’s activities; it involves highlighting, writing notes, marking with symbols, etc., on a document. Many Active Reading applications have been designed in seeking to replicate the affordances of paper through digital-ink-based annotation tools. However, these applications require users to perform numerous steps to use various types of annotation tools, which impose an unnecessary cognitive load, distracting them from their reading tasks. In this thesis, we introduce GestAnnot, an Active Reading application for tablet computers that takes a fundamentally different approach of incorporating multi-touch gesture techniques for creating and manipulating annotations on an e-document, thus offering a flexible and easy- to-use annotation solution. Based on the literature review, we designed and developed GestAnnot and then performed lab and field evaluations of the software. In lab evaluation, GestAnnot performed better than one of the best existing annotation application in many aspects, including number of steps. The design was then refined based on the feedback received. The field evaluation of the improved design helped us to understand the performance of the application in the real world. We proposed a set of design guidelines through the feedback received from both evaluations, which any future Active Reading application could benefit from.en_US
dc.identifier.urihttp://hdl.handle.net/10222/42725
dc.language.isoen_USen_US
dc.subjectAnnotationen_US
dc.subjectActive Readingen_US
dc.subjectHuman Computer Interactionen_US
dc.subjectHCIen_US
dc.subjectGestureen_US
dc.subjectTableten_US
dc.titleGestAnnot: A Paper Annotation Tool for Tableten_US

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