Abstract
COGNET (Cognitive Network of Tasks) is a model-building framework for real-time attention sharing cognitive processes. It is particularly designed for the construction of computational models of human-computer interaction. COGNET is unique in that it leads to context-sensitive models of attention switching based on the human operator's knowledge of the real-world domain being modeled. A COGNET model combines an augmented version of the GOMS task analysis language with the blackboard architecture of control. This paper discusses the theoretical organization of the COGNET framework, as well as the augmented GOMS/blackboard tools used to build COGNET models.
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