Projects per year
An increasing number of notifications demanding the smartphone user's attention, often arrive at an inappropriate moment, or carry irrelevant content. In this paper we present a study of mobile user interruptibility with respect to notification content, its sender, and the context in which a notification is received. In a real-world study we collect around 70,000 instances of notifications from 35 users. We group notifications according to the applications that initiated them, and the social relationship between the sender and the receiver. Then, by considering both content and context information, such as the current activity of a user, we discuss the design of classifiers for learning the most opportune moment for the delivery of a notification carrying a specific type of information. Our results show that such classifiers lead to a more accurate prediction of users' interruptibility than an alternative approach based on user-defined rules of their own interruptibility.
|Title of host publication||UbiComp '15 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing|
|Publisher||Association for Computing Machinery|
|Publication status||Published - 7 Sept 2015|
|Event||UbiComp '15 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - Osaka, Japan|
Duration: 7 Sept 2015 → 11 Sept 2015
|Conference||UbiComp '15 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing|
|Period||7/09/15 → 11/09/15|
FingerprintDive into the research topics of 'Designing content-driven intelligent notification mechanisms for mobile applications'. Together they form a unique fingerprint.
- 1 Finished
Trajectories of Depression: Investigating the Correlation between Human Mobility Patterns and Mental Health Problems by means of Smartphones
31/03/14 → 30/05/15
Project: Research Councils