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
Link To Document :
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