Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Location based services: locating the money
Mobile commerce
Towards a classification framework for mobile location services
Mobile commerce
Mobile portals: the development of M-commerce gateways
Mobile commerce
User needs for location-aware mobile services
Personal and Ubiquitous Computing
Cell-ID Location Technique, Limits and Benefits: An Experimental Study
WMCSA '04 Proceedings of the Sixth IEEE Workshop on Mobile Computing Systems and Applications
Mobile Services In The Networked Economy
Mobile Services In The Networked Economy
ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications
IEEE Pervasive Computing
Consistent Modelling of Users, Devices and Sensors in a Ubiquitous Computing Environment
User Modeling and User-Adapted Interaction
Mobile broadband services: classification, characterization, and deployment scenarios
IEEE Communications Magazine
Mobile Networks and Applications
Effect of use contexts on the continuous use of mobile services: the case of mobile games
Personal and Ubiquitous Computing
Fulfilling mobile information needs: a study on the use of mobile phones
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Context-aware apps with the Zonezz platform
MobiHeld '11 Proceedings of the 3rd ACM SOSP Workshop on Networking, Systems, and Applications on Mobile Handhelds
Habits make smartphone use more pervasive
Personal and Ubiquitous Computing
Understanding and prediction of mobile application usage for smart phones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Handset-Based Data Collection Process and Participant Attitudes
International Journal of Handheld Computing Research
Contextual usage patterns in smartphone communication services
Personal and Ubiquitous Computing
Proceedings of the 2013 international conference on Intelligent user interfaces
Insights into layout patterns of mobile user interfaces by an automatic analysis of android apps
Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems
A study on icon arrangement by smartphone users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Upright or sideways?: analysis of smartphone postures in the wild
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Understanding user behavior at scale in a mobile video chat application
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Practical prediction and prefetch for faster access to applications on mobile phones
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Proceedings of the 2013 International Symposium on Wearable Computers
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Context-aware DSPLs: model-based runtime adaptation for resource-constrained systems
Proceedings of the 17th International Software Product Line Conference co-located workshops
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Mobile services differ from other services because of their temporal and spatial attributes. Mobile services additionally differ from each other in their value-added to the end-user. Some services--such as emailing and voice--are more business oriented. On the other hand, various free-time oriented services are provided in new smartphones, such as imaging and music playback. The present paper studies how mobile services are used in different contexts. For this, the paper develops a specialized algorithm that can be used with handset-based usage data acquired straight from end-users in an established panel study process. Educated guesses can be drawn on the user context based on the developed algorithm. In the present exercise usage contexts were divided into home, office and "on the move". The algorithm is used with exemplary data from Finland and the UK covering 324 consumers in 2006. More than 70% of contextual use cases are correctly classified based on raw data. According to exemplary results particularly multimedia services are used "on the move", whereas legacy mobile services experience more evenly distributed usage across all contexts. The algorithm that identifies context based on raw data provides a new angle to mobile end-user research. In the future, the accuracy of the algorithm will be improved with the integration of seamless cell-id logging and GPS data.