Control Systems and Computers, N2, 2023, Article 1

https://doi.org/10.15407/csc.2023.02.005

Control Systems and Computers, 2023, Issue 2 (302), pp. 5-18

S.V. Pavlova, Doc. Tech. Sciences, Professor,  Chief researcher, International Research and Training Center for Information Technologies and Systems, Kyiv, Ukraine, Ave. Akademika Glushkova, 40, Kyiv 03187, Ukraine, ORCID: https://orcid.org/0000-0003-4012-9821, E–mail: pavlova_2020@ukr.net, 

V.I. Chepizhenko, Doc. Tech. Sciences, Senior Researcher, Leading Researcher of the Intellectual Control Department, International Research and Training Center for Information Technologies and Systems, Kyiv, Ukraine, Ave. Akademika Glushkova, 40, Kyiv 03187, Ukraine, ORCID: https://orcid.org/ 0000-0001-8797-4868, E–mail: chepizhenko.valeriy@gmail.com,

L.V. Blahaia, Cand. Tech. Sciences, Associate Professor, Department of Aeronavigation Systems, National Aviation University, Huzar Lubomir Ave. 1, Kiev, Ukraine 03058, ORCID: https://orcid.org/0000-0001-8406-4682, E–mail: b_ludmila@ukr.net

Models of operator activity for a remote UAV pilot

Based on the analysis of the psychophysiological features of the activity of remote UAV pilot, a set of models of operator activity is proposed. A functional model of intellectual activity, a mathematical model of operator activity as a queuing system have been developed, and a mathematical model Generalized Performance Characteristic of a remote pilot has been improved. These models solve a set of questions on the integral assessment of the remote pilot’s activity in the UAV control loop.

Download full text! (On English)

Key words: remote pilot, UAV, Generalized Working Characteristic, psychophysiological features, intellectual activity, human factor, queuing system.

  1. Bryant-Lees, K. B., Prince, L., Goodman, T., Chappelle, W., Thompson, B. (2021). “Sources of stress and psychological health outcomes for remotely piloted aircraft operators: A comparison across career fields and major commands”. Military Medicine, Volume 186, Issue 7-8, pp. 784-795.
    https://doi.org/10.1093/milmed/usaa257
  2. Scheiman, T, Chappelle, W, Sanford, E.U.S. (2018) “Air Force Special Operations Command Remotely Piloted Aircraft Operator Fatigue Levels and Compensatory Strategies”. Technical Report AFRL-SA-WP-TR-2018-0013. Wright-Patterson AFB, OH, U.S. Air Force School of Aerospace Medicine, pp. 41.
  3. Barnhart, R.K., Hottman, S.B., Marshall D.M., Shappee, E (Editors). (2011). Introduction to unmanned aircraft systems. Boca Raton, Florida: CRC Press, 1st edition, 234 p.
  4. Hobbs, A., Lyall, B. (2016). “Human Factors Guidelines for Unmanned Aircraft Systems”. Ergonomics in Design, 24(3), pp. 23-28.
    https://doi.org/10.1177/1064804616640632
  5. Rowe, L.J., Cooke, N.J., Bennett Jr,W., Joralmon, D.Q. (Eds.). (2016). Remotely piloted aircraft systems: A human systems integration perspective. John Wiley & Sons. Aerospace Series, 1, 280 p.
  6. Asim, M., Ehsan, D.N., Rafique, K. (2005). “Probable causal factors in UAV accidents based on human factor analysis and classification systems”, 27th International Congress of the Aeronautical Sciences. https://www.icas.org/ICAS_ARCHIVE/ICAS2010/PAPERS/492.PDF.
  7. Nasir, M.M., Qin, Shi-Yin. (2011). “Investigation of Human Factors in UAV Accidents Based on Analysis of Statistical Data”. Proceedings of the 2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC ’11). IEEE Computer Society, Washington, DC, USA, pp. 1011-1015.
    https://doi.org/10.1109/IMCCC.2011.255
  8. Dudas, Z., Restas, A., Szabo, S., Domjan, K., Dunai, P. (2016). “Human Factor Analysis in Unmanned Aerial Vehicle (UAV) Operations”. Critical Infrastructure Protection Research: Results of the First Critical Infrastructure Protection Research Project in Hungary, pp. 47-58.
    https://doi.org/10.1007/978-3-319-28091-2_4
  9. Wallace, D., Costello, J. (2017). “Eye in the sky: Understanding the mental health of unmanned aerial vehicle operators”. Journal of Military and Veterans’ Health, 25(3), pp. 36-41.
  10. Arrabito, G. R., Ho, G., Lambert, A., Rutley, M., Keillor, J., Chiu, A., & Hou, M. (2010). “Human Factors Issues for Controlling Uninhabited Aerial Vehicles: Preliminary Findings in Support of the Canadian Forces Joint Unmanned Aerial Vehicle Surveillance Target Acquisition System Project (Incidence Des Facteurs Humains Sur Le Pilotage des Vehicules Aeriens Telepilotes: Constatations Preliminaires a L’Appui du Projet de Systeme Interarmees D’Acquisition D’Objectif au Moyen de Vehicules Aeriens Telepilotes de Surveillance des Forces Canadiennes). DEFENCE RESEARCH AND DEVELOPMENT TORONTO (CANADA).
  11. Waraich, Q.R., Mazzuchi, T.A., Sarkani, S., Rico, D.F. (2013). “Minimizing human factor mis-haps in unmanned aircraft systems”. Ergonomics in Design: The Quarterly of Human Factors Applications, 21(1), pp. 25-32.
    https://doi.org/10.1177/1064804612463215
  12. Hüseyin Erbil ÖZYÖRÜK Systematic Analysis and Classification of the Literature Regarding the Impact of Human Factors On Unmanned Aerial Vehicles (UAV), Journal of Aviation,2020, Volume: 4 Issue: 2, pp. 71-81.
    https://doi.org/10.30518/jav.777483
  13. Saini, R.K., Raju, M. S.V.K., Chail, A. (2021). “Cry in the sky: Psychological impact on drone operators”, Industrial Psychiatry Journal, 30 (Supl 1), pp. S15-S19.
    https://doi.org/10.4103/0972-6748.328782
  14. Tvaryanas, A.P., Thompson, W.T., Constable, S.H. (2006). “Human Factors in Remotely Piloted Aircraft Operations: HFACS Analysis of 221 Mishaps Over 10 Years”. Aviation, Space, and Environmental Medicine, 77(7), pp. 724-732.
  15. Pavlov, V.V. (1977) Tekhnicheskiye ergaticheskiye sistemy / [V.V. Pavlov, A.N. Voronin, V.N. Golego, A.M. Meleshev, O.S. Yakovlev] pod red. Pavlova V.V. Kiev: Vishcha shkola, 1977. 344 p.

Received 22.03.2023