TY - JOUR
T1 - A human-centred approach based on functional near-infrared spectroscopy for adaptive decision-making in the air traffic control environment: A case study
AU - Li, Qinbiao
AU - Ng, Kam K.H.
AU - Fan, Zhijun
AU - Yuan, Xin
AU - Liu, Heshan
AU - Bu, Lingguo
N1 - Funding Information:
The authors would like to express their gratitude and appreciation for the anonymous reviewers, the editor-in-chief and the guest editors for providing valuable comments for the continuing improvement of this article. The research is supported by School of Mechanical Engineering, Shandong University, Jinan, China, Research Committee and Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China (RH1W,ZVS9). The research is also supported by grant from the MOE (Ministry of Education in China) Project of Humanities and Social Sciences (grant number 17YJC760009), Shandong Social Science Planning Fund Program (grant number 18CCXJ23). This study was also supported by the Program of Qilu Young Scholar, Shandong University.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/8
Y1 - 2021/8
N2 - Safety-critical systems like air traffic control (ATC) are usually less automated than might be expected by the public, so human intelligence will remain at the core in the decision-making (DM) process. Meanwhile, human factors (HFs) need to be fully considered in the DM process, which can design the ATC system to be more intelligent and more adaptive to the behaviour of the user. However, the existing DM research lacks the systematic methods that fully consider human performance in a smart manner. This study proposed a human-centred adaptive DM methodology that combines subjective and objective measurements made by functional near-infrared spectroscopy (fNIRS) via intelligent automation (IA). Moreover, this paper also described a case study of radar display map operation, including descriptive and optimised maps, to illustrate the proposed approach and verify its feasibility and effectiveness. The results were determined by jointly considering the user-generated and system-generated data and suggested that the proposed approach could capture subjective and objective data, take into consideration the HFs information to provide real-time online feedback and adjust the decision support system to HFs. It is hoped that this study can promote the methodology of human-centred subjective and objective data-driven applications in the future ATC environment adaptive decision research.
AB - Safety-critical systems like air traffic control (ATC) are usually less automated than might be expected by the public, so human intelligence will remain at the core in the decision-making (DM) process. Meanwhile, human factors (HFs) need to be fully considered in the DM process, which can design the ATC system to be more intelligent and more adaptive to the behaviour of the user. However, the existing DM research lacks the systematic methods that fully consider human performance in a smart manner. This study proposed a human-centred adaptive DM methodology that combines subjective and objective measurements made by functional near-infrared spectroscopy (fNIRS) via intelligent automation (IA). Moreover, this paper also described a case study of radar display map operation, including descriptive and optimised maps, to illustrate the proposed approach and verify its feasibility and effectiveness. The results were determined by jointly considering the user-generated and system-generated data and suggested that the proposed approach could capture subjective and objective data, take into consideration the HFs information to provide real-time online feedback and adjust the decision support system to HFs. It is hoped that this study can promote the methodology of human-centred subjective and objective data-driven applications in the future ATC environment adaptive decision research.
KW - Adaptive decision-making
KW - Air traffic control
KW - Functional Near-Infrared spectroscopy
KW - Human factors
KW - Intelligent automation
UR - http://www.scopus.com/inward/record.url?scp=85107664556&partnerID=8YFLogxK
U2 - 10.1016/j.aei.2021.101325
DO - 10.1016/j.aei.2021.101325
M3 - Journal article
AN - SCOPUS:85107664556
VL - 49
JO - Advanced Engineering Informatics
JF - Advanced Engineering Informatics
SN - 1474-0346
M1 - 101325
ER -