A Human-Centric Approach to Group-Based Context-Awareness
The emerging need for qualitative approaches in context-aware information processing calls for proper modeling of context information and efficient handling of its inherent uncertainty resulted from human interpretation and usage. Many of the current approaches to context-awareness either lack a solid theoretical basis for modeling or ignore important requirements such as modularity, high-order uncertainty management and group-based context-awareness. Therefore, their real-world application and extendibility remains limited. In this paper, the authors present f-Context as a service-based context awareness framework, based on Language-Action Perspective (LAP) theory for modeling. Then they identify some of the complex, informational parts of context which contain high-order uncertainties due to differences between members of the group in defining them.