An Evaluation of One-handed Techniques for Multiple-target Selection

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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.

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Publisher Link

http://dx.doi.org/10.1145/1520340.1520638

Citation

Tyler J. Gunn, Hong Zhang, Ed Mak and Pourang Irani. 2009. An Evaluation of One-handed Techniques for Multiple-target Selection. In Proceedings of the 27th International Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '09), 4189-4194.

Bibtext Entry

@INPROCEEDINGS { gunn09a,
    AUTHOR = { Tyler J. Gunn and Hong Zhang and Ed Mak and Pourang Irani },
    TITLE = { An Evaluation of One-handed Techniques for Multiple-target Selection },
    BOOKTITLE = { Proceedings of the 27th International Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '09) },
    YEAR = { 2009 },
    PAGES = { 4189--4194 },
    DOI = { 10.1145/1520340.1520638 },
}