Abstract
Context information is commonly linked to various physical and user activities embedded in users' everyday lives. Research has mainly focused on sensing and inferring context information, yet the relevancy among these contexts is rarely investigated. In this paper, the authors propose an analytical framework for modeling and evaluating collected context data and the nature of relevancy among these data towards defining context awareness. They validate the proposed framework on a case study using a dataset that incorporates users' activities in various situations and surrounding environment scenarios. The framework provides preliminary guidelines for determining representative measures of user and physical context in the design and evaluation policies of context awareness in mobile human computer interaction.
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