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Knowledge-based assistant systems are an approach to support operators in complex task situations, especially in vehicle guidance and control. The central idea is to introduce automation functions working in parallel to the human operator instead of replacing him. Like a human team member, an assistant system should be able to support a human operator according to his actual needs. Therefore, it needs capabilities to identify situations in which the human operator is overtaxed in order to transfer such situations into situations which can be handled normally by the assisted human operator. This paper will present a concept for a human behavior model based approach to subjective workload identification which uses a recognizable modification of human behavior occurring prior to severe performance decrements or errors. Therefore, behavior models of the operator, previously gathered within simulator trials, shall continuously compared with the actually observed behavior patterns in the same situational context. First results will be presented showing a modification of operator visual scanning behavior.

Behavior Model Based Recognition of Critical Pilot Workload as Trigger for Cognitive Operator Assistance