New tools and methods in selection of air traffic controllers based on multimodal psychophysiological measurements
Open accessAbstract
Comprehensive multimodal psychophysiological measurements and smart data analysis based on wearable and low-cost technologies could enhance traditional air traffic controller (ATC) selection process. Many recent studies in neuro-cognitive science and stress resilience illustrated effectiveness of these multimodal measurements and appropriate metrics in comprehensive assessment of ATCs' mental states, such as cognitive workload, cognitive decline, attention deficit, fatigue, emotional and behavioural problems, etc. Accordingly, this article is focused on innovation efforts in ATC selection protocols based on a set of comprehensive stimuli and corresponding multimodal psychophysiological measurements. The concept of enhancement of ATC selection process presented in this article includes complex physiological, oculometric and speech measurements and appropriate metrics. From these multimodal measurements during specific stimulation tasks, which include different versions of acoustic startle stimuli, airblasts, semantically relevant aversive images and sounds, different versions of Stroop tests, visual tracking test, a complex set of multimodal-multidimensional features is computed as predictors of ATC candidates' future performance, like: stress resilience, workload capacity, attention, visual performance, working memory etc. Such cost-effective, more objective, non-invasive preliminary measurements, lasting no longer than 45 minutes may have good discriminative power and might be used in ATC selection processes as enhancement of current selection procedures. Comprehensive analysis of presented multimodal features during different experimental conditions might also be very useful in selection processes of other stressful professional jobs, like first responders, pilots, astronauts etc.
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Prediction of Task Performance From Physiological Features of Stress Resilience
Šarlija, M., Popović, S., Jagodić, M., Jovanović, T., Ivković, V., Zhang, Q., Strangman, G. E., & Ćosić, K. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.3041315 · Cited by 27 · see citing works
Overview of Studies on the Cognitive Workload of the Air Traffic Controller
Yazgan, E., Sert, E., & Şımşek, D. (2021) · International Journal of Aviation Science and Technology · doi:10.23890/ijast.vm02is01.0104 · Cited by 20 · see citing works
AI-Based Prediction and Prevention of Psychological and Behavioral Changes in Ex-COVID-19 Patients
Ćosić, K., Popović, S., Šarlija, M., Kesedžić, I., Gambiraža, M., Dropuljić, B., Mijić, I., Henigsberg, N., & Jovanović, T. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.782866 · Cited by 25 · see citing works
The use of wearable devices in cognitive fatigue: current trends and future intentions
Arachchige, S. N. K. K., Burch, R. F. V., Chander, H., Turner, A. J., & Knight, A. C. (2021) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922x.2021.1965670 · Cited by 19 · see citing works
Hao, T., Xu, K., Zheng, X., Li, J., Chen, S., & Nie, W. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106615 · Cited by 16 · see citing works
Attention and impulsivity assessment using virtual reality games
Mendez-Encinas, D., Sujar, A., Bayona, S., & Delgado-Gomez, D. (2023) · Scientific Reports · doi:10.1038/s41598-023-40455-4 · Cited by 15 · see citing works
Li, J., Chen, D., Yu, N., Zhao, Z., & Lv, Z. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.741665 · Cited by 15 · see citing works
A meta-analysis on air traffic controllers selection: cognitive and non-cognitive predictors
Mouratille, D., Amadieu, F., & Matton, N. (2022) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2022.103769 · Cited by 15 · see citing works
Alaydi, B., & Ng, S. (2024) · Safety · doi:10.3390/safety10010020 · Cited by 18 · see citing works
Campbell, M. J., Cregan, S. C., Joyce, J. M., Kowal, M., & Toth, A. J. (2023) · British Journal of Psychology · doi:10.1111/bjop.12692 · Cited by 18 · see citing works
Managing the fatigue frontier: AI applications in air traffic control operations
Xin, S., Lim, K. Y. H., Hsieh, M.-H., Chen, C.-H., & Dong, L. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103660 · Cited by 9 · see citing works
Effects on ATCO Training when Working in a Flight Centric ATC Environment
Kluenker, C. S., Weber, M., Finck, T., & Taraldsson, Å. (2023) · IEEE/AIAA Digital Avionics Systems Conference (DASC) · doi:10.1109/dasc58513.2023.10311161 · Cited by 8 · see citing works
Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy
Kesedžić, I., Božek, J., Radoš, M., Popović, S., & Ćosić, K. (2020) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.23919/mipro48935.2020.9245242 · Cited by 7 · see citing works
Jarvis, A. L., Hoggan, B. L., & Temby, P. (2022) · The International Journal of Aerospace Psychology · doi:10.1080/24721840.2022.2059483 · Cited by 6 · see citing works
Gambiraža, M., Popović, S., Kurtak, M., Jovanović, T., Norrholm, S. D., & Ćosić, K. (2025) · IEEE Access · doi:10.1109/access.2025.3594493 · Cited by 5 · see citing works
Cosic, K., Kuljanac, A., & Palermo, S. (2026) · Frontiers in psychology · doi:10.3389/fpsyg.2026.1821242 · Cited by 3 · see citing works
“Longitudinal tracking and monitoring of human multimodal neuro-psycho-physiological features are a valuable source of information for prediction of human mental and cognitive readiness, and functional performance during unpredictable startle operations (Ćosić et al., 2019).”
Karagkouni, A. G., Zantanidis, S., Moutzouri, A., Sartzetaki, M. F., Constantinidis, T. C., & Dimitriou, D. (2025) · Safety · doi:10.3390/safety11030088 · Cited by 1 · see citing works
A Preliminary Exploration of Stroop Task’s Role in Fatigue Measurement for Air Traffic Controllers
Piao, Q., Xu, X., Fu, W., Zhang, J., Jiang, W., Gao, X., Chen, Z., & Ding, P. (2021) · IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT) · doi:10.1109/iccasit53235.2021.9633399
(2021) · International Journal of Aviation Science and Technology · doi:10.23890/ijast.vm02is01
Roodbandi, A. S. J., Choobineh, A., & Nami, M. (2025) · International Journal of Occupational Safety and Ergonomics · doi:10.1080/10803548.2025.2461407
Readability Levels of Scales Used for Breastfeeding
Ada, G., İlçioğlu, K., & Başkaya, Y. H. (2025) · Journal of Academic Research in Nursing · doi:10.55646/jaren.galenos.2024.77528
Alaydi, B. I., Ng, S. I., & Lim, X. (2025) · Safety · doi:10.3390/safety11030070
Gambiraža, M., Popović, S., Kurtak, M., & Ćosić, K. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1879388
- Authors
- Cosic, K., Popovic, S., Sarlija, M., Mijic, I., Kokot, M., Kesedzic, I., Strangman, G., Ivkovic, V., & Zhang, Q.
- Affiliations
- University of Zagreb (HR)
- Harvard University (US)
- ORCID
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 174873-174888
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2993888477
- Cited by
- 29
- References
- 89
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 6 · 2020: 5
- FWCI
- 4.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- public-domain
- creativecommons.org/licenses/by/4.0/legalcode (vor)
- Locations
- IEEE Access (publishedVersion, public-domain)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- NATO’s Emerging Security Challenges Division in the Framework of the Science for Peace and Security Programme
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- air traffic controller selection, stress resilience, mental workload, attention, fatigue, speech analysis, acoustic startle response, Stroop task, visual object tracking, aversive stimuli, working memory, wearable sensors, low-cost assessment, job performance prediction
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