A model for contextual data sharing in smartphone applications

Abstract

Purpose - The purpose of this paper is to introduce a model for identi- fying, storing, and sharing contextual information across smartphone apps that uses the native device services. We present the idea of using user input and interaction within an app as contextual information; and how each app can identify and store contextual information. Design/methodology/approach - Contexts are modelled as hierarchical objects that can be stored and shared by applications using native mech- anisms. A proof-of-concept implementation of the model for the Android platform demonstrates contexts modelled as hierarchical objects stored and shared by applications using native mechanisms. Findings - The model was found to be practically viable by implemented sample apps that share context and through a performance analysis of the system. Practical implications - The contextual data-sharing model enables the creation of smart apps and services without being tied to any vendors cloud services. Originality/value - This paper introduces a new approach for sharing con- text in smartphone applications that does not require cloud services.