Real World Longitudinal iOS App Usage Study at Scale
This study provides insights into long-term mobile app usage patterns, which is important for app developers and researchers, but it is incremental as it extends prior work on app usage without introducing new methods.
The authors tackled the problem of understanding longitudinal changes in mobile app usage by analyzing a large-scale dataset from 162,006 iOS devices over 4 years, finding that users typically launch only 14-18 apps weekly and that app popularity varies by category, with games having shorter life cycles.
Given the importance of understanding the interaction between mobile devices and their users, app usage patterns have been studied in various contexts. However, prior work has not fully investigated longitudinal changes to app usage behavior. In this paper, we present a longitudinal, large-scale study of mobile app usage based on a dataset collected from 162,006 iPhones and iPads over 4 years. We explore multiple dimensions of app usage pattern proving useful insights on how app usage changes over time. Our key findings include (i) app usage pattern changes over time both at the individual app level and the app category level (i.e. proportion of time a user spends using an app), (ii) users keep a small set of apps frequently launched (90% of iPhone users launch roughly 14-18 apps weekly), (iii) a small number of apps remain popular while some specific kinds of apps (e.g. Games) have a shorter life cycle compared to other apps of different categories. Finally, we discuss our findings and their implications, for example, a short-term study as an attempt to understand the general needs of mobile devices may not achieve useful results for the long term.