| Starburst: a target expansion algorithm for non-uniform target distributions |
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Proceedings of the working conference on Advanced visual interfaces
table of contents
Napoli, Italy
SESSION: Surface - oriented interaction
table of contents
Pages 129-137
Year of Publication: 2008
ISBN:1-978-60558-141-5
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Authors
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Patrick Baudisch
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Microsoft Research, One Microsoft Way, Redmond, WA
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Alexander Zotov
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Microsoft Research, One Microsoft Way, Redmond, WA
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Edward Cutrell
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Microsoft Research, One Microsoft Way, Redmond, WA
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Ken Hinckley
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Microsoft Research, One Microsoft Way, Redmond, WA
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Downloads (6 Weeks): 13, Downloads (12 Months): 107, Citation Count: 4
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ABSTRACT
Acquiring small targets on a tablet or touch screen can be challenging. To address the problem, researchers have proposed techniques that enlarge the effective size of targets by extending targets into adjacent screen space. When applied to targets organized in clusters, however, these techniques show little effect because there is no space to grow into. Unfortunately, target clusters are common in many popular applications. We present Starburst, a space partitioning algorithm that works for target clusters. Starburst identifies areas of available screen space, grows a line from each target into the available space, and then expands that line into a clickable surface. We present the basic algorithm and extensions. We then present 2 user studies in which Starburst led to a reduction in error rate by factors of 9 and 3 compared to traditional target expansion.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 4
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Tyler J. Gunn , Hong Zhang , Ed Mak , Pourang Irani, An evaluation of one-handed techniques for multiple-target selection, Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
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