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Issue No. 01 - Jan.-Mar. (2014 vol. 13)
ISSN: 1536-1268
pp: 22-29
Benjamin Poppinga , OFFIS--Institute for Information Technology, Oldenburg
Wilko Heuten , OFFIS--Institute for Information Technology, Oldenburg
Susanne Boll , University of Oldenburg
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.
Context awareness, Sensors, Event detection, Smart phones, Mobile communication, Global Positioning System, Event detection,pervasive computing, interruption, attention, notification, mobile, user modeling, evaluation
Benjamin Poppinga, Wilko Heuten, Susanne Boll, "Sensor-Based Identification of Opportune Moments for Triggering Notifications", IEEE Pervasive Computing, vol. 13, no. , pp. 22-29, Jan.-Mar. 2014, doi:10.1109/MPRV.2014.15
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