• DocumentCode
    2793023
  • Title

    Learning and identifying haptic icons under workload

  • Author

    Chan, Andrew ; MacLean, Karon ; McGrenere, Joanna

  • Author_Institution
    Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
  • fYear
    2005
  • fDate
    18-20 March 2005
  • Firstpage
    432
  • Lastpage
    439
  • Abstract
    This work addresses the use of vibrotactile haptic feedback to transmit background information with variable intrusiveness, when recipients are engrossed in a primary visual and/or auditory task. We describe two studies designed to (a) perceptually optimize a set of vibrotactile "icons" and (b) evaluate users\´ ability to identify them in the presence of varying degrees of workload. Seven icons learned in approximately 3 minutes were each typically identified within 2.5 s and at 95% accuracy in the absence of workload.
  • Keywords
    force feedback; haptic interfaces; haptic icons; vibrotactile haptic feedback; vibrotactile icons; Auditory displays; Collaborative work; Computer science; Context awareness; Feedback; Haptic interfaces; Manufacturing; Protocols; Testing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Eurohaptics Conference, 2005 and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2005. World Haptics 2005. First Joint
  • Print_ISBN
    0-7695-2310-2
  • Type

    conf

  • DOI
    10.1109/WHC.2005.86
  • Filename
    1406966