Journal ArticleDOI
Contextual patterns in mobile service usage
Hannu Verkasalo
- Vol. 13, Iss: 5, pp 331-342
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TLDR
The algorithm that identifies context based on raw data provides a new angle to mobile end-user research and the accuracy of the algorithm will be improved with the integration of seamless cell-id logging and GPS data.Abstract:
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.read more
Citations
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Journal ArticleDOI
Habits make smartphone use more pervasive
TL;DR: It is found that checking habits occasionally spur users to do other things with the device and may increase usage overall, and supporting habit-formation is an opportunity for making smartphones more “personal” and “pervasive.”
Proceedings ArticleDOI
Falling asleep with Angry Birds, Facebook and Kindle: a large scale study on mobile application usage
TL;DR: A large-scale deployment-based research study that logged detailed application usage information from over 4,100 users of Android-powered mobile devices is described, which finds that despite the variety of apps available, communication applications are almost always the first used upon a device's waking from sleep.
Patent
Sensor-based mobile search, related methods and systems
TL;DR: A smart phone senses audio, imagery, and/or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires as discussed by the authors, and can apply more or less resources to an image processing task depending on how successfully the task is proceeding or based on the user's apparent interest in the task.
Proceedings ArticleDOI
Understanding and prediction of mobile application usage for smart phones
TL;DR: It is becoming harder to find an app on one's smart phone due to the increasing number of apps available and installed on smart phones today, so a dynamic home screen application is developed that presents icons for the most probable apps on the main screen of the phone and highlights themost probable one.
Journal ArticleDOI
Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China
Yong Liu,Hongxiu Li +1 more
TL;DR: The results show that use context is the strongest predictor of mobile game adoption, and the formation of people's perceptions about mobile gaming is conditional and based on the special consideration of certain use contexts.
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