• DocumentCode
    13155
  • Title

    Sensor-Based Identification of Opportune Moments for Triggering Notifications

  • Author

    Poppinga, Benjamin ; Heuten, Wilko ; Boll, Susanne

  • Volume
    13
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan.-Mar. 2014
  • Firstpage
    22
  • Lastpage
    29
  • Abstract
    Today´s smartphones will issue a notification immediately after an event occurs, repeating unanswered notifications in fixed time intervals. The disadvantage of this issue-and-repeat strategy is that notifications can appear in inconvenient situations and thus are perceived as annoying and interrupting. The authors study the mobile context as inferred through a phone´s sensors for both answered and ignored notifications. They conducted a large-scale, longitudinal study via the Google Play store and observed 6,581 notifications from 79 different users over 76 days. Their derived model can predict opportune moments to issue notifications with approximately 77 percent accuracy. Their findings could lead to intelligent strategies to issue unobtrusive notifications on today´s smartphones at no extra cost. This article is part of a special issue on managing attention.
  • Keywords
    mobile computing; sensors; smart phones; telecommunication computing; Google Play store; fixed time intervals; ignored notification; intelligent strategy; issue-and-repeat strategy; mobile context; opportune moments; phone sensor; sensor-based identification; smartphones; triggering notifications; unanswered notifications; Context awareness; Event detection; Global Positioning System; Mobile communication; Sensors; Smart phones; attention; evaluation; interruption; mobile; notification; pervasive computing; user modeling;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2014.15
  • Filename
    6750478