Mathematical Model of the Pilot Associated Activities and Its Application for Objective Professional Training and Condition Assessment

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Abstract

A new approach to analysis and diagnostics of the pilots’ activities is presented, which makes it possible to compare both different options of the aircraft cockpit information and control field and the professional training of flight personnel from the viewpoint of application effectiveness. A mathematical model of the associated activities in use represents the pilot work via the matrix of transition probabilities, where transitions occur between the operations he performs. The approach under consideration is based on the convolution of the applied Markovian processes, which are created using the pilot activity protocols, into the quantum representations, making it possible to reveal the structure of these processes by the quantum spectral analysis. Application of the quantum filtering makes it possible to obtain quantitative diagnostic assessments of the pilot activity. Analysis of the experimental results for pilots of various training levels is given to demonstrate the possibility for assessing their professional skills as well as the prospects for using the proposed methods.

General Information

Keywords: crew performance assessment, quantum representations, quantum filtering, Markovian processes

Journal rubric: Psychology of Labor and Engineering Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2024170111

Received: 04.10.2023

For citation: Kuravsky L.S., Kozyrev A.D., Greshnikov I.I. Mathematical Model of the Pilot Associated Activities and Its Application for Objective Professional Training and Condition Assessment. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2024. Vol. 17, no. 1, pp. 161–180. DOI: 10.17759/exppsy.2024170111. (In Russ., аbstr. in Engl.)

References

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Information About the Authors

Lev S. Kuravsky, Doctor of Engineering, professor, Dean of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-3375-8446, e-mail: l.s.kuravsky@gmail.com

Alexey D. Kozyrev, Post-Graduate Student, Moscow State University of Psychology and Education, Engineer, State Research Institute of Aviation Systems, Moscow, Russia, ORCID: https://orcid.org/0009-0008-1769-4121, e-mail: adkozyrev@2100.gosniias.ru

Ivan I. Greshnikov, PhD in Engineering, Lead Engineer, State Research Institute of Aviation Systems (GosNIIAS), Graduate Student, Moscow State University of Psychology and Education (MSUPE), Moscow, Russia, ORCID: https://orcid.org/0000-0001-5474-3094, e-mail: vvanes@mail.ru

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