Speech-Filtered Bubble Ray: Improving Target Acquisition on Display Walls

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dc.contributor.authorTse, Edwardeng
dc.contributor.authorHancock, Markeng
dc.contributor.authorGreenberg, Sauleng
dc.date.accessioned2008-02-27T22:07:40Z
dc.date.available2008-02-27T22:07:40Z
dc.date.computerscience2007-06-29eng
dc.date.issued2007-06-29eng
dc.description.abstractThe rapid development of large interactive wall displays has been accompanied by research on methods that allow people to interact with the display at a distance. The basic method for target acquisition is by ray casting a cursor from one s pointing finger or hand position; the problem is that selection is slow and errorprone with small targets. A better method is the bubble cursor that resizes the cursor s activation area to effectively enlarge the target size. The catch is that this technique s effectiveness depends on the proximity of surrounding targets: while beneficial in sparse spaces, it is less so when targets are densely packed together. Our method is the speech-filtered bubble ray that uses speech to transform a dense target space into a sparse one. Our strategy builds on what people already do: people pointing to distant objects in a physical workspace typically disambiguate their choice through speech. For example, a person could point to a stack of books and say the green one . Gesture indicates the approximate location for the search, and speech filters unrelated books from the search. Our technique works the same way; a person specifies a property of the desired object, and only the location of objects matching that property trigger the bubble size. In a controlled evaluation, people were faster and preferred using the speech-filtered bubble ray over the standard bubble ray and ray casting approach.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department2007-867-19eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30761
dc.identifier.urihttp://hdl.handle.net/1880/45910
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleSpeech-Filtered Bubble Ray: Improving Target Acquisition on Display Wallseng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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