2 research outputs found
A model for contextual data sharing in smartphone applications
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