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User-Defined Motion Gestures for Mobile Interaction

May 7, 2011 | Media and Technology
Modern smartphones contain sophisticated sensors to monitor three-dimensional movement of the device. These sensors permit devices to recognize motion gestures— deliberate movements of the device by end-users to invoke commands. However, little is known about best-practices in motion gesture design for the mobile computing paradigm. To address this issue, we present the results of a guessability study that elicits end-user motion gestures to invoke commands on a smartphone device. We demonstrate that consensus exists among our participants on parameters of movement and on mappings of motion gestures onto commands. We use this consensus to develop a taxonomy for motion gestures and to specify an end-user inspired motion gesture set. We highlight the implications of this work to the design of smartphone applications and hardware. Finally, we argue that our results influence best practices in design for all gestural interfaces.

TEAM MEMBERS

  • 2013 11 26 jim spadaccini
    Principal Investigator
    Ideum
  • Jaime Ruiz
    Author
    University of Waterloo
  • Yang Li
    Author
    University of Waterloo
  • Edward Lank
    Author
    University of Waterloo
  • Citation

    Funders

    NSF
    Award Number: 1010028
    Resource Type: Report
    Discipline: Computing and information science | Education and learning science
    Audience: Museum/ISE Professionals | Scientists | Evaluators
    Environment Type: Media and Technology | Websites, Mobile Apps, and Online Media

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