A User-Centered Location Model
Personal and Ubiquitous Computing
Understanding and Using Context
Personal and Ubiquitous Computing
User needs for location-aware mobile services
Personal and Ubiquitous Computing
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications
IEEE Pervasive Computing
Social context and communication channels choice among adolescents
Computers in Human Behavior
Context as a dynamic construct
Human-Computer Interaction
Context-aware technology: a phenomenological perspective
Human-Computer Interaction
Contextual patterns in mobile service usage
Personal and Ubiquitous Computing
Analysis of Smartphone User Behavior
ICMB-GMR '10 Proceedings of the 2010 Ninth International Conference on Mobile Business / 2010 Ninth Global Mobility Roundtable
LiveLab: measuring wireless networks and smartphone users in the field
ACM SIGMETRICS Performance Evaluation Review
Effect of use contexts on the continuous use of mobile services: the case of mobile games
Personal and Ubiquitous Computing
Diversity and End User Context in Smartphone Usage Sessions
NGMAST '11 Proceedings of the 2011 Fifth International Conference on Next Generation Mobile Applications, Services and Technologies
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Disseminating active map information to mobile hosts
IEEE Network: The Magazine of Global Internetworking
What we talk about when we talk about context
Personal and Ubiquitous Computing
Personal and Ubiquitous Computing
Handset-Based Data Collection Process and Participant Attitudes
International Journal of Handheld Computing Research
Building social capital with mobile communication services
International Journal of Electronic Finance
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The mobile end user context has received a lot of attention from the mobile services industry lately. The location-based and context-sensitive information that are characteristic for smartphones can be utilized to study the use context of mobile end users. Accordingly, this article utilizes handset-based data in analyzing how the context of use affects the usage of smartphone communication services. The context is identified with an algorithm utilizing mobile network cell ID and WLAN data and resulting in five place-related contexts, namely Home, Office, Other meaningful, Elsewhere and Abroad. According to our analysis, voice calls are used least intensively in the Home context where the length of the voice calls is the longest, however. Email and SMS are used most intensively in the Office context, where the voice calls are the shortest in duration. Finally, mobile IM/VoIP and social media services are more free-time oriented as they are used most intensively in Elsewhere and Other meaningful contexts. The findings imply that people use smartphone communication services differently depending on the use context. However, context can be defined and identified in a number of ways, and this article presents only one solution that is highly dependent on the type of data collected.