Revisiting Read Wear: Analysis, Design, and Evaluation of a Footprints Scrollbar

dc.contributor.authorAlexander, J.
dc.contributor.authorCockburn, A.
dc.contributor.authorFitchett, S.
dc.contributor.authorGutwin, C.
dc.contributor.authorGreenberg, S.
dc.date.accessioned2009-10-05T23:09:17Z
dc.date.available2009-10-05T23:09:17Z
dc.date.issued2008en
dc.descriptionTR-COSC 02/08en
dc.description.abstractIn this paper, we show that people frequently return to previously-visited regions within their documents, and that scrollbars can be enhanced to ease this task. We analysed 120 days of activity logs from Microsoft Word and Adobe Reader. Our analysis shows that region revisitation is a common activity that can be supported with relatively short recency lists. This establishes an empirical foundation for the design of an enhanced scrollbar containing scrollbar marks that help people return to previously visited document regions. Two controlled experiments show that scrollbar marks decrease revisitation time, and that a large number of marks can be used effectively. We then design an enhanced Footprints scrollbar that supports revisitation with several features, including scrollbar marks and mark thumbnails. Two further experiments show that the Footprints scrollbar was frequently used and strongly preferred over traditional scrollbars.en
dc.identifier.citationAlexander, J., Cockburn, A., Fitchett, S., Gutwin, C., Greenberg, S. (2008) Revisiting Read Wear: Analysis, Design, and Evaluation of a Footprints Scrollbar.en
dc.identifier.urihttp://hdl.handle.net/10092/2920
dc.language.isoen
dc.publisherDepartment of Computer Science and Software Engineeringen
dc.publisherUniversity of Canterbury. College of Scienceen
dc.publisherUniversity of Canterbury. Computer Science and Software Engineeringen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectdocumentation revisitationen
dc.subjectread wearen
dc.subjectscrollingen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280202 Computer graphicsen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280100 Information Systems::280105 Interfaces and presentation (excl. 280104)en
dc.titleRevisiting Read Wear: Analysis, Design, and Evaluation of a Footprints Scrollbaren
dc.typeReports
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