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
Smartphones can collect considerable context data about the user, ranging from apps used to places v...
The increasing ubiquity of smartphone data, with greater spatial and temporal coverage than achieved...
Mobile phones became multi-purpose devices supporting their users with large variety of applications...
Mobile application usage data has been investigated by many researchers to explore reasoning about u...
www.imm.dtu.dk IMM-M.Sc.-2012-85 As people spend more and more time with their smartphones, it is ne...
We introduce a new approach to monitoring the activity of smartphone users based on their physical i...
Understanding how and why people use their smartphones has enabled use cases ranging from correlatin...
Knowledge about real-life user behaviour is an important factor for the design of navigation systems...
Background: Mobile apps generate vast amounts of user data. In the mobile health (mHealth) domain, r...
The prevalence of mobile phone usage in traffic has been studied by road-side counting, naturalistic...
User interaction patterns with mobile apps and notifications are generally complex due to the many f...
Physical inactivity is a global health concern. Personal, spatial, and temporal characteristics all...
Abstract— Recently,obtaining lifelog becomes much easier and they can be acquired at any time, thank...
We introduce a new approach to monitoring the activity of smartphone users based on their physical i...
Personal mobile devices such as smartphones are powerful tools for people to collect data about thei...
Smartphones can collect considerable context data about the user, ranging from apps used to places v...
The increasing ubiquity of smartphone data, with greater spatial and temporal coverage than achieved...
Mobile phones became multi-purpose devices supporting their users with large variety of applications...
Mobile application usage data has been investigated by many researchers to explore reasoning about u...
www.imm.dtu.dk IMM-M.Sc.-2012-85 As people spend more and more time with their smartphones, it is ne...
We introduce a new approach to monitoring the activity of smartphone users based on their physical i...
Understanding how and why people use their smartphones has enabled use cases ranging from correlatin...
Knowledge about real-life user behaviour is an important factor for the design of navigation systems...
Background: Mobile apps generate vast amounts of user data. In the mobile health (mHealth) domain, r...
The prevalence of mobile phone usage in traffic has been studied by road-side counting, naturalistic...
User interaction patterns with mobile apps and notifications are generally complex due to the many f...
Physical inactivity is a global health concern. Personal, spatial, and temporal characteristics all...
Abstract— Recently,obtaining lifelog becomes much easier and they can be acquired at any time, thank...
We introduce a new approach to monitoring the activity of smartphone users based on their physical i...
Personal mobile devices such as smartphones are powerful tools for people to collect data about thei...
Smartphones can collect considerable context data about the user, ranging from apps used to places v...
The increasing ubiquity of smartphone data, with greater spatial and temporal coverage than achieved...
Mobile phones became multi-purpose devices supporting their users with large variety of applications...