A.S. Kozharinov1, Yu.A. Kirichenko2, I.V. Afanasiev3, N.P. Labuz4, A.I. Vlasov5

1,2 National University of Science and Technology “MISiS” (Moscow, Russia)

3-5 Bauman Moscow State Technical University (Moscow, Russia)

Problem setting. A person in his psychophysical activity is characterized by making mistakes and deviations in thinking and behavior. Some of them can be distinguished, since they obey certain laws and can be predictable and systematic. The characteristic representatives of such errors and deviations are cognitive distortions. They are most critically manifested in the human operator when he is an active element of the control system, and his incorrect actions can be dangerous to the functioning of the system. The variety of cognitive distortions and taking into account the peculiarities of their influence in various fields of activity determines the relevance of their research and development of methods, technologies and software tools for their automated detection, especially using artificial intelligence technologies, models and tools. Solving the problems of studying and detecting cognitive distortions is aimed at creating methods and means for preventing unconscious activation of such distortions and errors in behavior and decision-making by the human brain.

Target. The purpose of this work is to systematize and generalize the influence of cognitive distortions on the functioning of human-machine systems, to develop the concept of an automated intelligent system for detecting cognitive distortions of a human operator.

Results. The model of human activity of the operator is considered in accordance with which the classification of tools for detecting cognitive distortions is given. A review of the classification of cognitive distortions according to Buster Bens, as well as each group of distortions, is provided with detection methods that can subsequently be used to develop software. The concept of an automated intelligent system for detecting cognitive distortions is proposed and key characteristics for creating a demonstration prototype are determined.

Practical significance. An automated intelligent cognitive distortion detection system can be used in a variety of activities. The priority area for implementation is the areas in which a person, as part of his professional activity, fulfills the obligations associated with the regular decision-making process in the presence of high risks and responsibility. These are, for example, aircraft crews; operators of equipment used in hazardous production and technological processes; military personnel on combat duty; physicians making a diagnosis in conditions of limited time and lack of information about the state of the patient's body; air traffic controllers, etc. It is also considered the use in conducting medical consultations, online interviews, optimizing the personnel potential of organizations, which will allow them to significantly increase the efficiency of work in systems managed by a person.

Kozharinov A.S., Kirichenko Yu.A., Afanasyev I.V., Labuz N.P., Vlasov A.I. Methods of analysis of cognitive distortions and the concept of an automated intelligent system for their detection. Neurocomputers. 2022. V. 24. № 4. Р. 39-74. DOI: https://doi.org/10.18127/j19998554-202204-04 (in Russian)

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