• DocumentCode
    606466
  • Title

    Designing notifications for ubiquitous monitoring systems

  • Author

    Moran, Sean ; Fischer, Joel E.

  • Author_Institution
    Mixed Reality Lab., Univ. of Nottingham, Nottingham, UK
  • fYear
    2013
  • fDate
    18-22 March 2013
  • Firstpage
    115
  • Lastpage
    120
  • Abstract
    Pervasive computing systems involve a number of different embedded, mobile and sensory devices. To provide their intended service or application, these devices will collect unprecedented levels of data about users as they go about their daily lives. Users are anticipated to seamlessly, and frequently, physically move between numerous monitoring systems on a regular basis. As a result, it may become difficult for users to comprehend and keep track of the systems that monitor them, how their data is used, and to give informed consent. One solution is to use smart phones to selectively notify users to changes in the monitoring systems around them. However, there is often a problem in identifying and designing for the opportune moment to send a notification. This paper describes an application of the Contextual Factors of Interruption (CFI) model in designing three different types of notifications useful to users of ubiquitous monitoring systems.
  • Keywords
    smart phones; ubiquitous computing; CFI model; contextual factors of interruption model; embedded device; mobile device; notification send; pervasive computing system; sensory device; smart phone; ubiquitous monitoring system; user notification; Companies; Context; Hospitals; Interrupters; Monitoring; Timing; Vibrations; Modelling; Monitoring; Notifications; Ubiquitous;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-5075-4
  • Electronic_ISBN
    978-1-4673-5076-1
  • Type

    conf

  • DOI
    10.1109/PerComW.2013.6529467
  • Filename
    6529467