Extracting rules from expert operators to support situation awareness in maritime surveillance

In maritime surveillance, supporting operatorspsila situation awareness is a very important issue for enabling the possibility to detect anomalous behaviour. We present a user study which conceptualises knowledge to be implemented in a rule-based application aiming at supporting situation awareness. Participatory observations were used as a method for extracting operatorspsila knowledge. The result of the user study is in the form of a number of identified rules emerging from organisational factors, group thinking and individual experience. A description of the rule-based prototype is presented a long with the result from the user study. This is also discussed together with the applicability of rule based systems and how to support situation awareness.