Leveraging eye-tracking technologies to promote aviation safety- A review of key aspects, challenges, and future perspectives

被引:26
作者
Lyu, Mengtao [1 ]
Fan, Li [1 ]
Xu, Gangyan [1 ]
Su, Han [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Aeronaut & Aviat Engn, Hong Kong 999077, Peoples R China
关键词
Aviation safety; Eye movement; Dirty dozen; Human performance; Eye-tracking; Review; VISUAL SCAN PATTERNS; SITUATION AWARENESS; NATIONAL AIRSPACE; DECISION-MAKING; PILOTS; ATTENTION; FLIGHT; PERFORMANCE; MOVEMENTS; VELOCITY;
D O I
10.1016/j.ssci.2023.106295
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The purpose of this study is to explore the key aspects, challenges, and future perspectives on eye-tracking studies aiming at promoting human-performance-related aviation safety. We reviewed 72 relevant articles to summarise the insights regarding three research questions: 1) what roles in aviation were studied concerning aviation safety? 2) how are the eye-tracking features utilised to address the dirty dozen issues? 3) what challenges remain in exploiting eye tracking to promote aviation safety? According to the reviewed articles, eye movements have been used to monitor the operators' mental states in real-time and provide references for operators' awareness enhancement measures in aviation. However, more comprehensive exploitation of eye-tracking technologies covering more non-pilot roles in aviation is still unexploited. Besides, real-time applications based on eye-tracking technologies are still rare due to the considerable preprocessing time of raw data. Therefore, this work advocates for the exploitation of eye-tracking technologies to investigate the behaviours of various roles in aviation. It also calls for the enhancement of the data processing model to develop more real-time applications based on eye-tracking in future studies. Practical applications: It is hoped this work could provide a basis for human-performance-related aviation safety research and attract more open discussions in the explorations and implementation of utilising eye-tracking technologies to promote aviation safety.
引用
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页数:11
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共 115 条
[31]   The organic effects of repeated bodily rotation [J].
Griffth, CR .
JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 1920, 3 :15-U2
[32]   In the Eye of the Beholder: A Survey of Models for Eyes and Gaze [J].
Hansen, Dan Witzner ;
Ji, Qiang .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2010, 32 (03) :478-500
[33]   Human-Centered Design of Flight Mode Annunciation for Instantaneous Mode Awareness [J].
Horn, Andreas ;
Li, Wen-Chin ;
Braithwaite, Graham .
ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS (EPCE 2018), 2018, 10906 :137-146
[34]   Visual Movement and Mental-Workload for Pilot Performance Assessment [J].
Hsu, Chen-Kai ;
Lin, Shu-Chiang ;
Li, Wen-Chin .
ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS, EPCE 2015, 2015, 9174 :356-364
[35]   Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue [J].
Hu, Xinyun ;
Lodewijks, Gabriel .
JOURNAL OF SAFETY RESEARCH, 2020, 72 :173-187
[36]   The Effect of Pilots' Expertise on Eye Movement and Scan Patterns During Simulated Flight Tasks [J].
Hua, Yue ;
Fu, Shan ;
Lu, Yanyu .
ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS, EPCE 2022, 2022, 13307 :290-299
[37]   Attentional costs and failures in air traffic control notifications [J].
Imbert, Jean-Paul ;
Hodgetts, Helen M. ;
Parise, Robert ;
Vachon, Francois ;
Dehais, Frederic ;
Tremblay, Sebastien .
ERGONOMICS, 2014, 57 (12) :1817-1832
[38]   Developing the pilots' load measuring system [J].
Jankovics, Istvan ;
Kale, Utku .
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2019, 91 (02) :281-288
[39]   Measurement of saccadic eye movements by electrooculography for simultaneous EEG recording [J].
Jia, Yingxin ;
Tyler, Christopher W. .
BEHAVIOR RESEARCH METHODS, 2019, 51 (05) :2139-2151
[40]   Transformer Network Intelligent Flight Situation Awareness Assessment Based on Pilot Visual Gaze and Operation Behavior Data [J].
Jiang, Guangyi ;
Chen, Hua ;
Wang, Changyuan ;
Xue, Pengxiang .
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2022, 36 (05)