Publication | Closed Access
Falling asleep with Angry Birds, Facebook and Kindle
606
Citations
14
References
2011
Year
Unknown Venue
Virtual Application SensorEngineeringMobile InteractionAffective NeuroscienceWearable TechnologyProblematic Smartphone UseCommunicationMedia StudiesSocial SciencesMobile AnalyticsData ScienceAffective ComputingSleepBehavioral SciencesUser ExperienceAngry BirdsMobile ComputingMobile ApplicationsMobile Positioning DataInsomniaMobile SensingSocial ComputingHuman-computer InteractionContextual Descriptive StatisticsTechnologyEmotionNews ApplicationsContext-aware Pervasive System
Mobile app usage patterns are poorly understood despite the growing importance of mobile applications. The study aims to log and analyze detailed mobile app usage from over 4,100 Android users. A virtual application sensor was deployed on Android devices to collect usage logs, enabling basic and contextual descriptive analyses. The analysis shows that average app sessions are under a minute, users spend about an hour daily on phones, news apps peak in the morning, games at night, communication apps dominate most of the day, and are almost always the first app used after waking.
While applications for mobile devices have become extremely important in the last few years, little public information exists on mobile application usage behavior. We describe a large-scale deployment-based research study that logged detailed application usage information from over 4,100 users of Android-powered mobile devices. We present two types of results from analyzing this data: basic descriptive statistics and contextual descriptive statistics. In the case of the former, we find that the average session with an application lasts less than a minute, even though users spend almost an hour a day using their phones. Our contextual findings include those related to time of day and location. For instance, we show that news applications are most popular in the morning and games are at night, but communication applications dominate through most of the day. We also find that despite the variety of apps available, communication applications are almost always the first used upon a device's waking from sleep. In addition, we discuss the notion of a virtual application sensor, which we used to collect the data.
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