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
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