Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers.
This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety and security. The adverse effects of mental health disorders on their flight performance pose a particul...
| Published in: | CyberPsychology, Behavior & Social Networking Vol. 27; no. 8; pp. 588 - 599 |
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| Main Authors: | , , |
| Format: | pictorial review tables/charts Journal Article |
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Mary Ann Liebert, Inc.
Aug2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179063464&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179063464 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 21522715 BABN jtl: CyberPsychology, Behavior & Social Networking issn: 21522715 maglogo: N pubinfo: dt: Aug2024 vid: 27 iid: 8 pid: 1365 pub: Mary Ann Liebert, Inc. place: New Rochelle, New York artinfo: ui: 179063464 179063464 179063464 10.1089/cyber.2023.0737 179063464 ppf: 588 ppct: 11 formats: tig: atl: Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers. aug: au: Ćosić, Krešimir Popović, Siniša Wiederhold, Brenda K. affil: Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia. sug: subj: Accidents, Aviation Prevention and Control Stress, Occupational Prevention and Control Occupational Safety Artificial Intelligence Utilization Pilots Psychosocial Factors Mental Health Aviation Mental Disorders Prevention and Control Security Measures Standards Work Environment Ecosystem Work Engagement Machine Learning ab: This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety and security. The adverse effects of mental health disorders on their flight performance pose a particular safety risk, especially in sudden unexpected startle situations. Therefore, the early detection, prediction and prevention of mental health deterioration in pilots and ATCs, particularly among those at high risk, are crucial to minimize potential air crash incidents caused by human factors. Recent research in artificial intelligence (AI) demonstrates the potential of machine and deep learning, edge and cloud computing, virtual reality and wearable multimodal physiological sensors for monitoring and predicting mental health disorders. Longitudinal monitoring and analysis of pilots' and ATCs physiological, cognitive and behavioral states could help predict individuals at risk of undisclosed or emerging mental health disorders. Utilizing AI tools and methodologies to identify and select these individuals for preventive mental health training and interventions could be a promising and effective approach to preventing potential air crash accidents attributed to human factors and related mental health problems. Based on these insights, the article advocates for the design of a multidisciplinary mental healthcare ecosystem in modern aviation using AI tools and technologies, to foster more efficient and effective mental health management, thereby enhancing flight safety and security standards. This proposed ecosystem requires the collaboration of multidisciplinary experts, including psychologists, neuroscientists, physiologists, psychiatrists, etc. to address these challenges in modern aviation. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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