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Pregled bibliografske jedinice broj: 1091961

Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy


Kesedžić, Ivan; Božek, Jelena; Radoš, Milan; Popović, Siniša; Ćosić, Krešimir
Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy // 43nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Opatija, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 259-264 doi:10.23919/mipro48935.2020.9245242 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1091961 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy

Autori
Kesedžić, Ivan ; Božek, Jelena ; Radoš, Milan ; Popović, Siniša ; Ćosić, Krešimir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Skup
43nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)

Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
air traffic control competencies, performance, fNIRS, signal processing

Sažetak
Air traffic control officers (ATCOs) are rigorously selected from the vast number of applicants and extensively trained, in order to have the required psychological and behavioural characteristics for this stressful occupation, as well as specialised performance competencies while controlling air traffic, such as situational awareness, workload management, problem-solving and decision-making. Recent studies have demonstrated the possible improvements of ATCO selection and training processes by using physiological, speech and oculometric features related to stress resilience, cognitive load, visual attention and fatigue. The functional near- infrared spectroscopy (fNIRS) is a brain imaging technique which provides a good insight into brain activation by measuring the haemoglobin concentration in the prefrontal cortex, which is one of the key brain areas responsible for complex cognitive behaviour, decision-making, working memory, and stress regulation. This paper focuses on the ATC performance competencies that could be measured with the fNIRS, demonstrates computational processing of signals obtained with this technique, and discusses the applicability of fNIRS measurements in the current ATC selection and training procedures. The experimental paradigm and the results obtained from the paradigm demonstrate that fNIRS shows differences in brain activation among individuals during cognitive tasks, thus allowing the more objective performance measurement.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove:
Medicinski fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Kesedžić, Ivan; Božek, Jelena; Radoš, Milan; Popović, Siniša; Ćosić, Krešimir
Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy // 43nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Opatija, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 259-264 doi:10.23919/mipro48935.2020.9245242 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Kesedžić, I., Božek, J., Radoš, M., Popović, S. & Ćosić, K. (2020) Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy. U: 43nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020) doi:10.23919/mipro48935.2020.9245242.
@article{article, author = {Kesed\v{z}i\'{c}, Ivan and Bo\v{z}ek, Jelena and Rado\v{s}, Milan and Popovi\'{c}, Sini\v{s}a and \'{C}osi\'{c}, Kre\v{s}imir}, year = {2020}, pages = {259-264}, DOI = {10.23919/mipro48935.2020.9245242}, keywords = {air traffic control competencies, performance, fNIRS, signal processing}, doi = {10.23919/mipro48935.2020.9245242}, title = {Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy}, keyword = {air traffic control competencies, performance, fNIRS, signal processing}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Kesed\v{z}i\'{c}, Ivan and Bo\v{z}ek, Jelena and Rado\v{s}, Milan and Popovi\'{c}, Sini\v{s}a and \'{C}osi\'{c}, Kre\v{s}imir}, year = {2020}, pages = {259-264}, DOI = {10.23919/mipro48935.2020.9245242}, keywords = {air traffic control competencies, performance, fNIRS, signal processing}, doi = {10.23919/mipro48935.2020.9245242}, title = {Air Traffic Control Competencies Measurements based on Functional Near-Infrared Spectroscopy}, keyword = {air traffic control competencies, performance, fNIRS, signal processing}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Opatija, Hrvatska} }

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