Mobile application usage data has been investigated by many researchers to explore reasoning about users' contexts and their routines. A large number of early studies in this area provide relatively simple analyses, and some more recent works look more deeply at the patterns of logged events. This paper explains a new work on the analysis of interaction logs collected from a pedometer-based mobile app to extract different usage patterns of the app.
|Title of host publication||UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing|
|Number of pages||6|
|Publication status||Published - 12 Sep 2016|
|Event||2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany|
Duration: 12 Sep 2016 → 16 Sep 2016
|Conference||2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016|
|Period||12/09/16 → 16/09/16|