Applying SSAT in computer-based analysis and investigation of operator errors

Abstract

Through the vision of the systemic-structural activity theory, a method of modeling human operator performance in complex systems, realized as a DSS, is presented. It allows to conduct a detailed analysis of an operator’s performance to observe the nature of his errors in different stages of his control action: the perception of a problem, the motivation for solving it, the evaluation of variants of a solution; then, making a decision and subsequently implementing it. This method provides a deeper analysis of underlying factors using the general model of activity self-regulation, along with the proposed frame descriptions for errors with logical, decision-making, and classification algorithms. The specific feature of the suggested approach is that it presents the opportunity to provide a comprehensive functional analysis of erroneous actions and their underlying factors in the process of collecting data on them, instead of following the traditional approach of drawing conclusions from investigation reports.