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.
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Yemelyanov, A., Yemelyanov, A. (2018). Applying SSAT in Computer-Based Analysis and Investigation of Operator Errors. In: Baldwin, C. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, vol 586. Springer, Cham. https://doi.org/10.1007/978-3-319-60642-2_31
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DOI: https://doi.org/10.1007/978-3-319-60642-2_31
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