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Gait phase effects in mobile interaction

Published: 02 April 2005 Publication History

Abstract

One problem evaluating mobile and wearable devices is that they are used in mobile settings, making it hard to collect usability data. We present a study of tap-based selection of on-screen targets whilst walking and sitting, using a PocketPC instrumented with an accelerometer to collect information about user activity at the time of each tap. From these data the user's gait can be derived, and this is then used to investigate preferred tapping behaviour relative to gait phase, and associated tap accuracy. Results showed that users were more accurate sitting than walking. When walking there were phase regions with significantly increased tap likelihood, and these regions had significantly lower error rates, and lower error variability. This work represents an example of accelerometer-instrumented mobile usability analysis, and the results give a quantitative understanding of the detailed interactions taking place when on the move, allowing us to develop better mobile interfaces.

References

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Lantz, V., and Murray-Smith, R. Rhythmic interaction with a mobile device. NordiCHI '04, Tampere, Finland. ACM (2004), 97--100.
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Petrie, H., Furner, S., and Strothotte, T. Design lifecycles and wearable computers for users with disabilities. First workshop on human-computer interaction with mobile devices, (Glasgow, UK). Glasgow University (1998).
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Pikovsky, A., Rosenblum, M., and Kurths, J. Synchronization: A universal concept in nonlinear sciences. Cambridge University Press, 2001.
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Pirhonen, A., Brewster, S. A., and Holguin, C. Gestural and audio metaphors as a means of control for mobile devices. Proceedings of ACM CHI 2002 (Minneapolis, MN). ACM Press Addison Wesley (2002), 291--298.

Cited By

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  • (2019)Learning to Drag: The Effects of Social Interactions in Touch Gestures Learnability for Older AdultsProceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces10.1145/3343055.3359716(205-215)Online publication date: 10-Nov-2019
  • (2019)Cluster TouchProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300257(1-14)Online publication date: 2-May-2019
  • (2017)Running with TechnologyProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31309661:3(1-17)Online publication date: 11-Sep-2017
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    cover image ACM Conferences
    CHI EA '05: CHI '05 Extended Abstracts on Human Factors in Computing Systems
    April 2005
    1358 pages
    ISBN:1595930027
    DOI:10.1145/1056808
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 02 April 2005

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    Author Tags

    1. accelerometer
    2. gait effects
    3. instrumented usability
    4. mobile devices
    5. pen-based interfaces
    6. rhythmic interaction
    7. targeting

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    Cited By

    View all
    • (2019)Learning to Drag: The Effects of Social Interactions in Touch Gestures Learnability for Older AdultsProceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces10.1145/3343055.3359716(205-215)Online publication date: 10-Nov-2019
    • (2019)Cluster TouchProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300257(1-14)Online publication date: 2-May-2019
    • (2017)Running with TechnologyProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31309661:3(1-17)Online publication date: 11-Sep-2017
    • (2016)Nomadic Input on Mobile DevicesHuman-Computer Interaction10.1080/07370024.2015.107119531:5(420-471)Online publication date: 1-Sep-2016
    • (2015)The Effects of Encumbrance and Mobility on Touch-Based Gesture Interactions for Mobile PhonesProceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/2785830.2785853(536-546)Online publication date: 24-Aug-2015
    • (2014)Comparing evaluation methods for encumbrance and walking on interaction with touchscreen mobile devicesProceedings of the 16th international conference on Human-computer interaction with mobile devices & services10.1145/2628363.2628382(23-32)Online publication date: 23-Sep-2014
    • (2014)Investigating the effects of encumbrance on one- and two- handed interactions with mobile devicesProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2556288.2557312(1981-1990)Online publication date: 26-Apr-2014
    • (2012)An exploration of inadvertent variations in mobile pressure inputProceedings of the 14th international conference on Human-computer interaction with mobile devices and services10.1145/2371574.2371581(35-38)Online publication date: 21-Sep-2012
    • (2012)WalkTypeProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2207676.2208662(2687-2696)Online publication date: 5-May-2012
    • (2012)Multimedia-Assisted Breathwalk-Aware SystemIEEE Transactions on Biomedical Engineering10.1109/TBME.2012.220874759:12(3276-3282)Online publication date: Dec-2012
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