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Pregled bibliografske jedinice broj: 1034960

New tools and methods in selection of air traffic controllers based on multimodal psychophysiological measurements


Ćosić, Krešimir; Popović, Siniša; Šarlija, Marko; Mijić, Igor; Kokot, Mirko; Kesedžić, Ivan; Strangman, Gary; Ivković, Vladimir; Zhang, Quan
New tools and methods in selection of air traffic controllers based on multimodal psychophysiological measurements // IEEE access, 7 (2019), 174873-174888 doi:10.1109/ACCESS.2019.2957357 (međunarodna recenzija, članak, znanstveni)


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Naslov
New tools and methods in selection of air traffic controllers based on multimodal psychophysiological measurements

Autori
Ćosić, Krešimir ; Popović, Siniša ; Šarlija, Marko ; Mijić, Igor ; Kokot, Mirko ; Kesedžić, Ivan ; Strangman, Gary ; Ivković, Vladimir ; Zhang, Quan

Izvornik
IEEE access (2169-3536) 7 (2019); 174873-174888

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
ATC selection ; multimodal physiology ; performance assessment ; resilience assessment ; cognitive capacity ; attention deficit ; fatigue ; speech and oculometric features

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Psihologija



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Ćosić, Krešimir; Popović, Siniša; Šarlija, Marko; Mijić, Igor; Kokot, Mirko; Kesedžić, Ivan; Strangman, Gary; Ivković, Vladimir; Zhang, Quan
New tools and methods in selection of air traffic controllers based on multimodal psychophysiological measurements // IEEE access, 7 (2019), 174873-174888 doi:10.1109/ACCESS.2019.2957357 (međunarodna recenzija, članak, znanstveni)
Ćosić, K., Popović, S., Šarlija, M., Mijić, I., Kokot, M., Kesedžić, I., Strangman, G., Ivković, V. & Zhang, Q. (2019) New tools and methods in selection of air traffic controllers based on multimodal psychophysiological measurements. IEEE access, 7, 174873-174888 doi:10.1109/ACCESS.2019.2957357.
@article{article, author = {\'{C}osi\'{c}, Kre\v{s}imir and Popovi\'{c}, Sini\v{s}a and \v{S}arlija, Marko and Miji\'{c}, Igor and Kokot, Mirko and Kesed\v{z}i\'{c}, Ivan and Strangman, Gary and Ivkovi\'{c}, Vladimir and Zhang, Quan}, year = {2019}, pages = {174873-174888}, DOI = {10.1109/ACCESS.2019.2957357}, keywords = {ATC selection, multimodal physiology, performance assessment, resilience assessment, cognitive capacity, attention deficit, fatigue, speech and oculometric features}, journal = {IEEE access}, doi = {10.1109/ACCESS.2019.2957357}, volume = {7}, issn = {2169-3536}, title = {New tools and methods in selection of air traffic controllers based on multimodal psychophysiological measurements}, keyword = {ATC selection, multimodal physiology, performance assessment, resilience assessment, cognitive capacity, attention deficit, fatigue, speech and oculometric features} }
@article{article, author = {\'{C}osi\'{c}, Kre\v{s}imir and Popovi\'{c}, Sini\v{s}a and \v{S}arlija, Marko and Miji\'{c}, Igor and Kokot, Mirko and Kesed\v{z}i\'{c}, Ivan and Strangman, Gary and Ivkovi\'{c}, Vladimir and Zhang, Quan}, year = {2019}, pages = {174873-174888}, DOI = {10.1109/ACCESS.2019.2957357}, keywords = {ATC selection, multimodal physiology, performance assessment, resilience assessment, cognitive capacity, attention deficit, fatigue, speech and oculometric features}, journal = {IEEE access}, doi = {10.1109/ACCESS.2019.2957357}, volume = {7}, issn = {2169-3536}, title = {New tools and methods in selection of air traffic controllers based on multimodal psychophysiological measurements}, keyword = {ATC selection, multimodal physiology, performance assessment, resilience assessment, cognitive capacity, attention deficit, fatigue, speech and oculometric features} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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