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A model for contextual data sharing in smartphone applications

Harshvardhan Jitendra Pandit (ADAPT, Trinity College Dublin, Dublin, Ireland)
Adrian O’Riordan (Department of Computer Science, University College Cork, Cork, Ireland)

International Journal of Pervasive Computing and Communications

ISSN: 1742-7371

Article publication date: 5 September 2016

459

Abstract

Purpose

The purpose of this paper is to introduce a model for identifying, storing and sharing contextual information across smartphone apps that uses the native device services. The authors 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 modeled as hierarchical objects that can be stored and shared by applications using native mechanisms. 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 vendor’s cloud services.

Originality/value

This paper introduces a new approach for sharing context in smartphone applications that does not require cloud services.

Keywords

Citation

Pandit, H.J. and O’Riordan, A. (2016), "A model for contextual data sharing in smartphone applications", International Journal of Pervasive Computing and Communications, Vol. 12 No. 3, pp. 310-331. https://doi.org/10.1108/IJPCC-06-2016-0030

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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