Case study of the psychophysical state of student-operators during UAVO training, based on heart rate parameter

• Autorzy: Maciejewska, Marta , Mika, Barbara , Galant-Gołębiewska, Marta

Warianty tytułu

PL

Stan psychofizyczny uczniów-operatorów w trakcie szkolenia UAVO, na podstawie parametru tętna. Studium przypadku

• Języki publikacji: EN

Abstrakty

EN

This article focuses on the human factor in UAV operations. In the manuscript, research on the psychophysical state of student-operators under the license of UAVO VLOS <4 kg. For the analysis of the psychophysical state, the pulse parameter was used, which is one of the values that describe the work of the cardiovascular system and is one for the objective methods of assessing the psychophysical state of a human being. The data collected were analyzed using the STATISTICA software. The article focuses on the above aspect and analyzes the psychophysical state of the student-operator during flight training. The obtained results were also related to research on similar topics in the chapter discussion section.

PL

Artykuł koncentruje się na czynniku ludzkim w operacjach UAV. Przeprowadzono badania stanu psychofizycznego studentów-operatorów na licencji UAVO VLOS <4 kg. Do analizy stanu psychofizycznego wykorzystano parametr tętna, który jest jedną z obiektywnych metod oceny stanu psychofizycznego człowieka. Zebrane dane analizowano za pomocą oprogramowania STATISTICA. Skupiono się na pracy układu sercowo-naczyniowego i przeanalizowano stan psychofizyczny ucznia-operatora podczas szkolenia w locie. Uzyskane wyniki odniesiono również do badań o podobnej tematyce w rozdziale dyskusyjnym.

Słowa kluczowe

PL

operator BSP; stan psychofizyczny; tętno

EN

UAV operator; psychophysical state; heart rate

• Czasopismo: Journal of KONBiN
• Rocznik: 2022
• Tom: Vol. 52, iss. 3
• Strony: 201--210
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Maciejewska, Marta

• Poznan University of Technology (Politechnika Poznańska)

autor

Mika, Barbara

• Poznan University of Technology (Politechnika Poznańska)

autor

Galant-Gołębiewska, Marta

• Poznan University of Technology (Politechnika Poznańska)

Bibliografia

• 1. Cao, X., MacNaughton, P., Cadet, L., Cedeno-Laurent, J., Flanigan, S., Vallarino, J., Allen, J. (2019). Heart Rate Variability and Performance of Commercial Airline Pilots during Flight Simulations. International Journal of Environmental Research and Public Health, 16(2), 237. doi:10.3390/ijerph16020237
• 2. Carver J.C., Penzenstadler B., Serebrenik A., Yamashita A. (2017), The Human Factor, IEEE SOFTWARE, vol. 34, iss. 5,DOI: 10.1109/MS.2017.3571580.
• 3. Charles R., Nixon J. (2018). Measuring mental workload using physiological measures: A systematic review. Applied ergonomics, vol. 74, pages 221-232. DOI: 10.1016/j.apergo.2018.08.028
• 4. Civil Aviation Authority, Aviation Personnel Statistics, Available online: https://www.ulc.gov.pl (accessed on 31 June 2021).
• 5. Civil Aviation Authority. (2020). National Civil Aviation Safety Plan,. Available online: https://www.ulc.gov.pl (accessed on 21 August 2020).
• 6. Civil Aviation Authority. (2021). National Civil Aviation Safety Plan,. Available online: https://www.ulc.gov.pl (accessed on 28 June 2021).
• 7. Civil Aviation Authority. (2022). National Civil Aviation Safety Plan, 2022. Available online: https://www.ulc.gov.pl (accessed on 10 June 2022).
• 8. COMMISSION IMPLEMENTATION REGULATION (EU) 2019/947 of 24 May 2019 on the rules and procedures for the operation of unmanned aerial vehicles, https://www.ulc.gov.pl/pl/drony/akty-prawne (accessed on 17 February 2020).
• 9. Ćwiklak, J., Kobiałka, E., Goś, A. (2022). Experimental and Numerical Investigations of Bird Models for Bird Strike Analysis. Energies 15, 3699, DOI: 10.3390/en15103699.
• 10. Forte G., Morelli M., Casagrande M. (2021). Heart Rate Variability and Decision-Making: Autonomic Responses in Making Decisions, Brain Sciences on February 15, DOI: 10.3390/BRAINSCI11020243.
• 11. Galant M., Nowak M., Maciejewska M., Łęgowik A., Kardach M. (2019). Using the simulation technique to improve efficiency in general aviation, AIP Conference Proceedings 2078, 020097, DOI: 10.1063/1.5092100.
• 12. Galant-Gołębiewska, M., Mika, B., & Maciejewska, M. (2022). Analysis of the impact of task difficulty on the operator's workload level. Aviation, 26(2), pp. 72-78, DOI: 10.3846/aviation.2022.16808.
• 13. Mansikka H., Simola P., Virtanen K., Harris D. & Oksama L., (2016) Fighter pilots’ heart rate, heart rate variation and performance during instrument approaches, Ergonomics, 59:10, 1344-1352, DOI: 10.1080/00140139.2015.1136699
• 14. Mansikka, H., Harris, D., & Virtanen, K. (2019). Pilot competencies as components of a dynamic human‐ machine system. Human Factors and Ergonomics in Manufacturing & Service Industries, 29(6), 466–477. doi:10.1002/hfm.20809
• 15. Mansikka, H., Virtanen, K., Harris, D., & Jalava, M. (2020). Measurement of team performance in air combat – have we been underperforming? Theoretical Issues in Ergonomics Science, 1–22. doi:10.1080/1463922x.2020.1779382
• 16. Kovacs G., Hőgye-Nagy A., Kurucz G., Human Factor Aspects of Situation Awareness in Autonomous Cars – An Overview of Psychological Approaches, Acta Polytechnica Hungarica Acta Polytechnica Hungarica Vol. 18, DOI: 10.12700/APH.18.7.2021.7.1
• 17. Maciejewska M., Galant-Gołębiewska M. (2021). Case study of pilot’s Heart Rate Variability (HRV) during flight operation, Transportation Research Procedia 2021: volume 59, DOI: 10.1016/j.trpro.2021.11.116
• 18. Polak E, Slugaj R and Gardzi ´ nska A ´ (2022) Postural Control and Psychophysical State Following of Flight Simulator Session in Novice Pilots. Front. Public Health 10:788612. doi: 10.3389/fpubh.2022.788612
• 19. Read, K., & Charles, R. (2018). Understanding teamwork errors in royal air force air traffic control. Safety Science, 109, 36–45. doi:10.1016/j.ssci.2018.04.030
• 20. Roscoe, A. H. (1992). Assessing pilot workload. Why measure heart rate, HRV and respiration? Biological Psychology, 34(2-3), 259–287. doi:10.1016/0301-0511(92)90018-p
• 21. Shaffer F. and Ginsberg J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 5, DOI: 10.3389/fpubh.2017.00258.
• 22. Turnbull, O. D. N., & Richards, A. G. (2018). Human Control of Air Traffic Trajectory Optimizer. IEEE Transactions on Intelligent Transportation Systems, 19(4), 1091–1099. doi:10.1109/tits.2017.2712637
• 23. Wang, X., Zhang, J., Feng, P., Yu, D., & Wu, Z. (2018). A Safety Monitoring System for Unmanned Aerial Vehicles. Proceedings of the 2nd International Conference on Computer Science and Application Engineering – CSAE ’18. doi:10.1145/3207677.3278103
• 24. Xu, Z., Petrunin, I., Tsourdos, A., Sabyasachi, M., & Williamson, A. (2019). Cognitive Communication Scheme for Unmanned Aerial Vehicle Operation. 2019 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED UAS). doi:10.1109/reduas47371.2019.8999

Identyfikatory

DOI

10.2478/jok-2022-0033