Demographics of mobile app usage: long-term analysis of mobile app usage

Understanding Mobile App Usage Patterns Using In-App Advertisements

Recent years have seen an explosive growth in the number of mobile devices such as smart phones and tablets. This has resulted in a growing need of the operators to understand the usage patterns of the mobile apps used on these devices. Previous studies in this area have relied on volunteers using instrumented devices or using fields in the HTTP traffic such as User-Agent to identify the apps i...

Learning Mobile App Usage Routine through Learning Automata

Since its conception, smart app market has grown exponentially. Success in the app market depends on many factors among which the quality of the app is a significant contributor, such as energy use. Nevertheless, smartphones, as a subset of mobile computing devices. inherit the limited power resource constraint. Therefore, there is a challenge of maintaining the resource while increasing the ta...

Poster: Towards Continuous Authentication Based On Mobile Messaging App Usage

Improving Business Processes Through Mobile Apps - An Analysis Framework to Identify Value-added App Usage Scenarios

Mobile apps offer new possibilities to improve business processes. However, the introduction of mobile apps is typically carried out from a technology point of view. Hence, process improvement from a business point of view is not guaranteed. There is a methodological lack for a holistic analysis of business processes regarding mobile technology. For this purpose, we present an analysis framewor...

Context-Based Prediction of App Usage

There are around a hundred installed apps on an average smartphone. The high number of apps and the limited number of app icons that can be displayed on the device’s screen requires a new paradigm to address their visibility to the user. In this paper we propose a new online algorithm for dynamically predicting a set of apps that the user is likely to use. The algorithm runs on the user’s devic...