Serheta I. V., Kalnysh V. V., Pashkovskiy S. M., Koval N. V., Nazarenko O. P.

JUSTIFICATION OF APPROACHES TO A COMPREHENSIVE POINT-BASED ASSESSMENT OF THE FEATURES OF THE COURSE OF PROFESSIONAL ADAPTATION OF UNMANNED AERIAL SYSTEM OPERATORS TAKING INTO ACCOUNT THEIR AGE DETERMINATION

---

Show/Download

About the author:

Serheta I. V., Kalnysh V. V., Pashkovskiy S. M., Koval N. V., Nazarenko O. P.

Heading:

CLINICAL AND EXPERIMENTAL MEDICINE

Type of article:

Scientific article

Annotation:

The combat use of UAS necessitates the development of accurate methods for assessing the adaptation of operators to extreme loads. The aim of the study is to scientifically substantiate approaches to a comprehensive point-based assessment of the course of professional adaptation in UAS operators and to verify its informativeness for forming professional suitability profiles, taking into account age. To achieve the stated objective, psychophys iological examinations were conducted at the MMCC of the CR involving 218 UAS operators. Psychophysiological examinations were carried out using the PFI-2 software-hardware complex for psychophysiological investigation. A three-level model of professional adaptation profiles for UAS operators has been identified and substantiated: stable professional adaptation, strained professional adaptation, and professional maladaptation. It was found that the or ganizational structure of professional adaptation radically changes depending on age: operators aged <40 years rely on neurodynamic reserve and sensorimotor stability, while operators aged ≥40 years use cognitive compensatory strategies. Highly accurate predictive models (98.4-100%) have been developed, optimized by the number of predic tors for different age groups (13 and 9, respectively). A direct correlation between maladaptation and health status has been proven: in older operators, prolonged “remote stress” triggers a critical increase in cardiovascular diseases. The results obtained allow us to objectify expert decisions and implement a differentiated approach to assessing the professional reliability of UAS operators.

Tags:

Bibliography:

1. Ariante G, Del Core G. Unmanned aircraft systems (UASs): current state, emerging technologies, and future trends. Drones. 2025;9(1):59. DOI: 10.3390/drones9010059.
2. Sukharevskyi VO, Kirsanov SO, Chornomaz OV, Dobrovolskyi YuB. Evoliutsiia spromozhnostei bezpilotnykh system u Zbroinykh Sylakh Ukrainy pid chas viiny: istorychnyi ohliad i praktychnyi dosvid. Military Science. 2025;3(1):195-205. DOI: 10.62524/msj.2025.3.1.8. [in Ukrainian].
3. Saini R, Raju MVK, Chail A. Cry in the sky: Psychological impact on drone operators. Industrial Psychiatry Journal. 2021;30(3):15. DOI: 10.4103/0972-6748.328782.
4. Dotsenko VV, Tokarenko YuV. Adaptatsiinyi potentsial fakhivtsiv sektoru bezpeky i oborony Ukrainy na etapi profesiinoho stanovlennia. Habitus. 2024;(67):141-146. DOI: 10.32782/2663-5208.2024.67.21. [in Ukrainian].
5. Werner A, Kreutzmann U, Glowka S, Schinkel C. The new quality of aviation unmanned aerial vehicles (UAV) prevent psychological stress of military drone operators. Clinical Medicine Research. 2020;9(1):25. DOI: 10.11648/j.cmr.20200901.15.
6. Pereira-Figueiredo I, Umeoka EHL. Stress: influences and determinants of psychopathology. Encyclopedia. 2024;4(2):1026-1043. DOI: 10.3390/ encyclopedia4020066.
7. Maciejewska M, Galant-Gołębiewska M, Łodygowski T. Psychophysical state aspect during UAV operations. Applied Sciences. 2023;14(1):150. DOI: 10.3390/app14010150.
8. Alharasees O, Kale U. Human factors and AI in UAV systems: enhancing operational efficiency through AHP and real-time physiological monitoring. Journal of Intelligent & Robotic Systems. 2025;111:5. DOI: 10.1007/s10846-024-02188-y.
9. Yu Z, Li M, Zhang Y, Jiang B. A review on safety control of unmanned aerial vehicles with guaranteed performance requirements. Progress in Aerospace Sciences. 2025;158:101144. DOI: 10.1016/j.paerosci.2025.101144.
10. Kalnysh VV. Fizioloho-hihiienichni osoblyvosti protsesu reabilitatsii viiskovosluzhbovtsiv pislia perebuvannia v zoni boiovykh dii. Vinnytsia: TOV «Merkiuri-Podillia»; 2020. 300 s. [in Ukrainian].
11. Firsov AG. Programmno-apparatnyi kompleks dlia otsenki tipologicheskikh osobennostei tsentralnoi nervnoi sistemy cheloveka. Kibernetika i vychislitelnaya tekhnika. 2010;(162):28-35.
12. Shvets AV, Humeniuk KV, Diachenko VV, editors. Metodyky obstezhen pid chas provedennia likarsko-lotnoi ekspertyzy: posibnyk dlia likarsko-lotnykh komisii. Vinnytsia: PP Baliuk IB; 2024. 528 s. [in Ukrainian].
13. Pashkovskyi SM, Kalnysh VV, Koval NV. Porivnialna kharakterystyka profesiino vazhlyvykh psykhofiziolohichnykh parametriv operatoriv bezpilotnykh aviatsiinykh kompleksiv praktychno zdorovykh ta khorykh na asotsiiovani zi stresom zakhvoriuvannia. Visnyk Vinnytskoho natsionalnoho medychnoho universytetu. 2023;27(2):301-308. DOI: 10.31393/reports-vnmedical-2023-27(2)-21. [in Ukrainian].
14. Pfeifer G, Cawkwell S. Interoceptive ageing and the impact on psychophysiological processes: a systematic review. International Journal of Psychophysiology. 2025;207:112483. DOI: 10.1016/j.ijpsycho.2024.112483.
15. Ramallo-Luna MA, Gonzalez-Torre S, Rodríguez-Mora Á, de la Torre GG. Neurocognitive factors of new drone pilots: identifying candidates with expert potential. Computers in Human Behavior Reports. 2025;19:100705. DOI: 10.1016/j.chbr.2025.100705.
16. McKinley RA, McIntire LK, Funke MA. Operator selection for unmanned aerial systems: comparing video game players and pilots. Aviation, Space, and Environmental Medicine. 2011;82(6):635-642. DOI: 10.3357/asem.2958. 2011

Publication of the article:

«Bulletin of problems biology and medicine», 2026 Issue 1, 180, 343-364 pages, index UDC 613.693:159.944.4:159.922.6

DOI:

10.29254/2077-4214-2026-1-180-343-364