Context Similarity Evaluation: Inferring How Users Can Collectively Collaborate Together in a Pervasive Environment

How users utilize technology to interact with others and their surroundings has changed dramatically in the last twenty years. A combination of ubiquitous connectivity coupled with innovative and inexpensive cloud infrastructure has yielded new usage patterns and more importantly expectations from end users. A re-thinking of interaction mediums has occurred with the prolific rise of group based communication culminating in the emergence of modern social networking. This paper presents the on-going work in a Context Similarity Evaluation methodology. This methodology takes different users contextual data and examines them as a set to determine if a given group of users have a quantitative similarity determinant, this measure can be exploited by an App developer to provide a richer and more relevant engagement to the user group. Context attribute taxonomies, such as proximity, occupation and food are introduced in a descriptive scenario.