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Modelling and Data Analysis
2025. Vol. 15, no. 2, 165–176
doi:10.17759/mda.2025150210
ISSN: 2219-3758 / 2311-9454 (online)

Quantitative assessment of the teamwork skills for UAV operators

 
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Abstract

Presented is a new approach to the quantitative assessment of the teamwork skills for the operators of complex technical systems, using the example of collaborative control of unmanned aerial vehicles (UAVs). This approach is based on representing operator activities as Markovian processes with discrete states and discrete time, followed by an analysis of transition probability matrices between elementary operations using quantum representations. Software tools are described that simulate distributed control of two UAVs and can be used for both educational and research purposes, enabling diagnostic tasks and quantitative comparison of coordinated control skills.

General Information

Keywords: psychological diagnostics, teamwork skills, collaborative activity, computer simulator

Journal rubric: Software

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2025150210

Funding. The publication was prepared according to the draft Program for the development of the MGPPU " Artifcial Intelligence Technologies to support UAV operators" as part of the implementation of the Priority 2030 Program.

Received 27.05.2025

Accepted

Published

For citation: Mikhailovsky, M.A., Orishchenko, V.A., El Sayed, O.S.A., Kuravsky, L.S., Yuryeva, N.E. (2025). Quantitative assessment of the teamwork skills for UAV operators. Modelling and Data Analysis, 15(2), 165–176. (In Russ.). https://doi.org/10.17759/mda.2025150210

© Mikhailovsky M.A., Orishchenko V.A., El Sayed O.S.A., Kuravsky L.S., Yuryeva N.E., 2025

License: CC BY-NC 4.0

References

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    Kuravsky, L.S., Yuryev, G.A., Mikhailovsky, M.A., Nesimova, A.O., Yuryeva, N.E., Polyakov, B.Y. (2024). Formation of Teamwork Skills and Their Objective Quantitative Assessment Based on Quantum Representations. Experimental Psychology (Russia), 17(2), 154–177. (In Russ.). https://doi.org/10.17759/exppsy.2024170210

Information About the Authors

Michael A. Mikhailovsky, Research Assistant, Youth Laboratory Information Technologies for Psychological Diagnostics, Moscow State University of Psychology and Education (MSUPE), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-7399-2800, e-mail: muxa172002@yandex.ru

Vitaly A. Orishchenko, student, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0009-0003-6696-5147, e-mail: vitalyorischenko@gmail.com

Omar S. El Sayed, Research Assistant, Moscow State University of psychology and education (MSUPE), Moscow, Russian Federation, e-mail: elsaudomar@gmail.com

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

Nataliya E. Yuryeva, Candidate of Science (Engineering), Head of the Laboratory of Information Technologies for Psychological Diagnostics, Research Fellow of the Laboratory of Quantitative Psychology of the Center for Information Technologies for Psychological Research of the Faculty of Information Technology, Executive Secretary of the journal "Modeling and Data Analysis", Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-1419-876X, e-mail: yurieva.ne@gmail.com

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