Abstract

Situation awareness is a variety of cognitive processes employed by operators in a complex and dynamic environment to understand the current state of the environment in order to know its future state. Information systems designed on the principle of situation awareness adopt the technique of user-centred design (UCD) methodology. A UCD approach involves users in system development process to make the system meet end-users requirements. Such user-friendly systems result in better decision making and optimal performance. In this paper, we model situation awareness with agile user-centred development method for predicting hydrate formation during crude oil drilling. The design is implemented with Case-Based Reasoning, an experiential machine learning paradigm, to expand the scope of the decision-making module.

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