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An evaluation of one-handed techniques for multiple-target selection
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Spotlight on work in progress session 2 table of contents
Pages 4189-4194  
Year of Publication: 2009
ISBN:978-1-60558-247-4
Authors
Tyler J. Gunn  University of Manitoba, Winnipeg, MAN, Canada
Hong Zhang  University of Manitoba, Winnipeg, MAN, Canada
Ed Mak  University of Manitoba, Winnipeg, MAN, Canada
Pourang Irani  University of Manitoba, Winnipeg, MAN, Canada
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Recent research has revealed that a large population of mobile users usually use one hand when interacting with mobile devices. However, very few techniques have been developed to support multiple-target selection. In this paper, we introduce Burst and ZoomTap, two techniques that aim to facilitate accurate and fast multiple-target acquisition with one-handed thumb operation on touch-based mobile devices. We compare our two techniques to Shift in a controlled experiment. The results show that for multiple-target selection, Burst and ZoomTap can outperform Shift; also according to the questionnaire, participants prefer Burst and ZoomTap to Shift.


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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Karlson, A. K., Bederson, B. B. and Contreras-Vidal, J. L. 2006. Understanding Single-Handed Mobile Device Interaction. Tech report HCIL-2006-02, Computer Science Dept, University of Maryland.
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Collaborative Colleagues:
Tyler J. Gunn: colleagues
Hong Zhang: colleagues
Ed Mak: colleagues
Pourang Irani: colleagues