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Smartphone App Usage Analysis: Datasets, Methods, and Applications
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DOI：10.1109/COMST.2022.3163176.png)
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摘要
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As smartphones have become indispensable personal devices, the number of smartphone users has increased dramatically over the last decade. These personal devices, which are supported by a variety of smartphone apps, allow people to access Internet services in a convenient and ubiquitous manner. App developers and service providers can collect fine-grained app usage traces, revealing connections between users, apps, and smartphones. We present a comprehensive review of the most recent research on smartphone app usage analysis in this survey. Our survey summarizes advanced technologies and key patterns in smartphone app usage behaviors, all of which have significant implications for all relevant stakeholders, including academia and industry. We begin by describing four data collection methods: surveys, monitoring apps, network operators, and app stores, as well as nine publicly available app usage datasets. We then systematically summarize the related studies of app usage analysis in three domains: app domain, user domain, and smartphone domain. We make a detailed taxonomy of the problem studied, the datasets used, the methods used, and the significant results obtained in each domain. Finally, we discuss future directions in this exciting field by highlighting research challenges.
Keyword:
Mobile applications
Data collection
Monitoring
Data analysis
Computer science
Tutorials
Stakeholders
Smartphone device
mobile app
app usage
behavior analysis
data mining
期刊
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46.7
论文数:
1.5K
被引数:
3.3W
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