An evaluation of one-handed techniques for multiple-target selection

Authors:
Tyler J. Gunn;Hong Zhang;Ed Mak;Pourang Irani
Affiliations:
University of Manitoba, Winnipeg, MAN, Canada;University of Manitoba, Winnipeg, MAN, Canada;University of Manitoba, Winnipeg, MAN, Canada;University of Manitoba, Winnipeg, MAN, Canada
Venue:
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Year:
2009

Citing 6
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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.