ABSTRACT

In this work, we consider the new method of analyzing variable tasks with complex logical organization that requires- multiple decisions during performance. Professional ergonomists encounter difficulties when analyzing the performance of such tasks. Some scientists reject the very possibility of analyzing and describing this type of tasks altogether. The new method of analysis of human performance suggested in this paper derives from systemic-structural activity theory. It demonstrates how ergonomic practitioners can analyze complex rule-based tasks with multiple decisions and evaluate their logical and probabilistic structure. Information about probabilistic structure of activity during task performance is critically important for task complexity and reliability assessment.

Rule-based tasks, decision making and probability of events, the scale of the subjective probability evaluation of events, scale diapasons, the event tree model, and a human algorithm with complex probabilistic structure are discussed here.