Context aware M-commerce services: C-IOB model approach

Pushpa, PV and Venkataram, Pallapa (2011) Context aware M-commerce services: C-IOB model approach. In: 2011 8th International Conference on Information, Communications and Signal Processing (ICICS), 13-16 Dec. 2011, Singapore.

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Abstract

Context-aware computing is useful in providing individualized services focusing mainly on acquiring surrounding context of user. By comparison, only very little research has been completed in integrating context from different environments, despite of its usefulness in diverse applications such as healthcare, M-commerce and tourist guide applications. In particular, one of the most important criteria in providing personalized service in a highly dynamic environment and constantly changing user environment, is to develop a context model which aggregates context from different domains to infer context of an entity at the more abstract level. Hence, the purpose of this paper is to propose a context model based on cognitive aspects to relate contextual information that better captures the observation of certain worlds of interest for a more sophisticated context-aware service. We developed a C-IOB (Context-Information, Observation, Belief) conceptual model to analyze the context data from physical, system, application, and social domains to infer context at the more abstract level. The beliefs developed about an entity (person, place, things) are primitive in most theories of decision making so that applications can use these beliefs in addition to history of transaction for providing intelligent service. We enhance our proposed context model by further classifying context information into three categories: a well-defined, a qualitative and credible context information to make the system more realistic towards real world implementation. The proposed model is deployed to assist a M-commerce application. The simulation results show that the service selection and service delivery of the system are high compared to traditional system.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.USA
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	20 Mar 2013 10:56
Last Modified:	20 Mar 2013 10:56
URI:	http://eprints.iisc.ac.in/id/eprint/46099

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