PROFESSIONAL SELECTION SYSTEM AND PSYCHOMETRIC SUPPORT FOR UAV OPERATOR TRAINING: INTERNATIONAL EXPERIENCE

Authors

  • Olena Mykolaichuk Author
  • Igor Pampukha Taras Shevchenko National University of Kyiv, Kyiv, Ukraine The author is a editor-in-chief, therefore did not participate in the review process or the decision regarding the publication of this article. Author
  • Vitalii Loza Taras Shevchenko National University of Kyiv, Kyiv, Ukraine Author

DOI:

https://doi.org/10.17721/1728-2217.2026.66.75-81

Keywords:

UAV operator, professional selection, psychometrics, international experience, spatial reasoning, eligibility criteria

Abstract

Background. The contemporary paradigm of warfare is characterized by the dominance of robotic systems, where the efficacy of unmanned aerial vehicle (UAV) deployment critically depends on the cognitive resources of the human operator. The physical distancing of the remote pilot from the controlled platform transforms the requirements for their professional profile: traditional vestibular stability is superseded by high information processing speed, spatial reasoning, and the capacity for decision-making under severe time constraints. This article aims to conduct a comparative analysis of professional selection models and psychometric instrumentation for Remotely Piloted Aircraft (RPA) operators within the armed forces of leading nations (the United States of America, the United Kingdom of Great Britain and Northern Ireland, the Federal Republic of Germany, and the State of Israel). The objective is to identify key criteria and relevant cognitive assessment methodologies that can be integrated into the training systems of the Armed Forces of Ukraine.
Methods. The study employed the following methods: comparative analysis; content analysis of regulatory acts, strategies, and military doctrines; systemic and interpretative analysis; and elements of case studies.
Results. The study conducted a comprehensive analysis of selection approaches for operators within the armed forces of partner nations, enabling the synthesis of cognitive profiling models. Key metrics were identified namely spatial orientation, attention distribution, and psychomotor coordination, alongside an analysis of specialized instrumentation, including TBAS (Test of Basic Aviation Skills), CBAT (Computer Based Aptitude Testing), and VTS (Vienna Test System). The findings allowed for an assessment of the potential for adapting automated testing systems to differentiate pilots based on their specific specializations.
Conclusions. In the context of large-scale aggression, the formation of a high-quality operator corps is the cornerstone of technological superiority and Ukraine's security integration into the international space. The integration of Western psychometric testing standards will reduce equipment loss rates attributable to the "human factor" and enhance the quality of combat mission execution. The results of this study confirm that the implementation of quantified indicators (specifically Percentile Rank) is an essential condition for verifying the professional suitability of operators within the Personnel Selection System (PSS).

Downloads

Download data is not yet available.

References

Carretta, T. R. (2000). U.S. Air Force pilot selection and training methods. Aviation, Space, and Environmental Medicine, 71(9), 950–956. https://doi.org/10.21236/ada430320

Carretta, T. R., & Ree, M. J. (2003). Pilot selection methods. In P. S. Tsang & M. A. Vidulich (Eds.). Principles and practice of aviation psychology (pp. 357–396). Erlbaum.

Chappelle, W. L., McDonald, K. D., Prince, L., Goodman, T., Ray-Sannerud, B. N., & Thompson, W. (2014). Symptoms of psychological distress and post-traumatic stress disorder in United States Air Force "drone" operators. Military Medicine, 179(8 Suppl), 63–70. https://doi.org/10.7205/MILMED-D-13-00501

General aptitude test battery (GATB). (2006). In J. H. Greenhaus & G. A. Callanan (Eds.). Encyclopedia of career development (pp. 332–333). SAGE Publications, Inc. https://doi.org/10.4135/9781412952675.n118

Gopher, D. (2021). Attention control and the training of complex skills. In Handbook of military psychology and cognitive science. Academic Press.

Kokun, O. M., Klochkov, V. V., Moroz, V. M., Pishko, I. O., & Lozinska, N. S. (2022). Ensuring the psychological stability of military personnel in combat conditions. Phoenix [in Ukrainian].

Korop, S., & Medvedev, V. (2024). Psychophysiological features of the operational and instrumental activities of the operator of an unmanned aircraft complex of multirotor type (class I). Air Power of Ukraine, 2(7), 73–79 [in Ukrainian]. https://doi.org/10.33099/2786-7714-2024-2-7-73-79

Pasichnyk, V. I., Shirobokov, Yu. M., & Savchuk, O. A. (2023). Psychological features of the activities of operators of unmanned aircraft complexes of tactical classes and their consideration in the practice of professional training of these military specialists. Honor and Law, (4), 113–120 [in Ukrainian]. https://doi.org/10.33405/2078-7480.2023.4.87.293671

Rothmann, S., & Coetzer, E. P. (2003). The Big Five personality dimensions and job performance. Journal of Industrial Psychology, 29(1), 68–74. https://doi.org/10.4102/sajip.v29i1.88

Stasiuk, V. V. (2024). Innovative approaches to training unmanned aviation specialists in conditions of armed aggression. Science and Defense, (1), 44–50 [in Ukrainian].

Udartseva, T. Ye. (2016). The feasibility of conducting professional selection of unmanned aerial vehicle control operators. Weapons Systems and Military Equipment, (1), 186–189 [in Ukrainian].

Williams, K. (2006). Human factors implications of unmanned aircraft accidents: Data-procedural analysis. Federal Aviation Administration, Civil Aerospace Medical Institute. https://doi.org/10.1016/S1479-3601(05)07008-6

Published

2026-06-30

Issue

Section

Psychology

How to Cite

Mykolaichuk, O., Pampukha, I., & Loza, V. (2026). PROFESSIONAL SELECTION SYSTEM AND PSYCHOMETRIC SUPPORT FOR UAV OPERATOR TRAINING: INTERNATIONAL EXPERIENCE. Bulletin of Taras Shevchenko National University of Kyiv. Military-Special Sciences, 2(66), 75-81. https://doi.org/10.17721/1728-2217.2026.66.75-81