INTRODUCTION: Recent advances in ubiquitous computing technologies have enabled anywhere, anytime personalized services to the museum ubiquitous visitors without any explicit requests. The system utilizes visitor, device, network, and other application related context information to provide required services to the museum ubiquitous visitors. OBJECTIVES: In this work, we propose the formation of Essential Context-derived Reasons (ECR) from the context information of the museum ubiquitous

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... s, which enables to provide required exhibit information museum services to the visitors. METHODS: Context information of museum ubiquitous visitors is acquired and processed with multiple combinations to formulate into Composite Context which further leads to ECR. ECR provides an accurate understanding of museum ubiquitous visitor's requirements to provide the required services. We conducted simulation with relevant context information parameters and their percentage accuracy of acquisition and evaluates the accuracy of ECR. RESULTS: Over 200 experiments, we found that for 90% context information available with high accuracy, the accuracy of CC ranges from 0.69 to 0.89, and the accuracy of ECR ranges from 0.77 to 0.95. This indicates that the effect of some of the inaccurately available context information of the museum ubiquitous visitors is proportionally mitigated by the other accurately available context information with their multiple combinations. CONCLUSION: The simulation results show that the accuracy of ECR increases with the increase in reference structures of multiple combinations of accurately available context information of the museum ubiquitous visitors, which further enables to provide required exhibit information museum services to the visitors.