Title :
Sensor-Based Identification of Opportune Moments for Triggering Notifications
Author :
Poppinga, Benjamin ; Heuten, Wilko ; Boll, Susanne
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;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2014.15