COSMOS A Context Sensitive Model For Dynamic Configuration Of Smartphones Using Multifactor Analysis

TL;DR

COSMOS is a context-sensitive model that automatically configures smartphone settings based on multifactor analysis using decision trees, enhancing user experience without interruptions.

Contribution

This paper introduces COSMOS, a novel model that dynamically configures smartphones using multifactor analysis and decision trees, validated by a high relevancy metric.

Findings

Settings relevancy metric of 90.95%

Effective automatic configuration based on context

Validated prototype on Android platform

Abstract

With the prolific growth in usage of smartphones across the spectrum of people in the society it becomes mandatory to handle and configure these devices effectively to achieve optimum results from it. This paper proposes a context sensitive model termed COSMOS (COntext Sensitive MOdel for Smartphones) for configuring the smartphones using multifactor analysis with the help of decision trees. The COSMOS model proposed in this paper facilitates the configuration of various smartphone settings implicitly based on the user's current context, without interrupting the user for various inputs. The COSMOS model also proposes multiple context parameters like location, scheduler data, recent call log settings etc to decide the appropriate settings for the smartphones. The proposed model is validated by a prototype implementation in the Android platform. Various tests were conducted in the implementation and the settings relevancy metric value of 90.95% confirms the efficiency of the proposed model.