Abstract
As autonomous systems technology becomes more and more powerful and present in almost all aspects of human life, it is aiding in reducing the mental strain on humans that employ its benefits. An increasing area of interest to do so is in the air traffic control industry, where air traffic controllers are put under immense strain as they make split-second decisions and are responsible for the safety of hundreds, if not thousands, of individuals at any given moment. In this study, a systematic literature review of the intertwining topics of air traffic control automation and mental workload will be analyzed using tools such as Web of Science, Harzing’s Publish or Perish, VOSViewer, and MAXQDA. In order to determine the most pertinent papers, a co-citation analysis will be completed. It was found that increased automation in the air traffic control industry has had very positive effects on air traffic controllers. It has greatly reduced the mental strain by allowing an autonomous system to make some of the decisions in the split-second time that one has to do so, allowing the autonomous system and human controllers to work hand-in-hand. Given these positive results, it is likely that the systems developed for air traffic controllers will also be applicable to other high strain work environments that require high pace decision making.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Federal Aviation Administration (n.d). https://www.faa.gov/jobs/career_fields/aviation_careers/. Accessed 10 Apr 2021
Corver S, Grote G (2016) Uncertainty management in enroute air traffic control: a field study exploring controller strategies and requirements for automation. Cogn Technol Work 18(3):541–565. https://doi.org/10.1007/s10111016-0373-3
Hedayati S, Sadeghi-Firoozabadi V, Bagheri M, Heidari M, Sze NN (2021) Evaluating differences in cognitive functions and personality traits among air traffic controllers with and without error history. Saf Sci 139:105208. https://doi.org/10.1016/j.ssci.2021.105208
Harzing’s Publish or Perish (n.d.). https://harzing.com/resources/publish-or-perish. Accessed 10 Apr 2021
VOSviewer (n.d.). https://www.vosviewer.com/. Accessed 10 Apr 2021
MAXQDA (n.d.). https://www.maxqda.com/. Accessed 10 Apr 2021
Web of Science (n.d.). https://apps-webofknowledge-com.ezproxy.lib.purdue.edu/WOS_GeneralSearch_input.do?product=WOS&search_mode=GeneralSearch&SID=7EKUw7yEVcCG VrUwOlu&preferencesSaved. Accessed 10 Apr 2021
Mendeley (n.d.). https://www.mendeley.com/?interaction_required=true. Accessed 10 Apr 2021
Google Scholar (n.d.). https://scholar.google.com/. Accessed 10 Apr 2021
Parasuraman R, Sheridan TB, Wickens CD (2000) A model for types and levels of human interaction with automation. IEEE Trans Syst Man Cybern Part A Syst Hum 30(3):286–297. https://doi.org/10.1109/3468.844354
Parasuraman R, Riley V (1997) Humans and automation: use, misuse, disuse, abuse. Hum Factors 39(2):230–253. https://doi.org/10.1518/001872097778543886
Sheridan TB (2016) Human-robot interaction. Hum Factors 58(4):525–532. https://doi.org/10.1177/0018720816644364
BibExcel (n.d.). https://homepage.univie.ac.at/juan.gorraiz/bibexcel/. Accessed 10 Apr 2021
Hart SG (1988) Helicopter human factors. In: Human factors in aviation. Academic Press, Inc. https://doi.org/10.1016/b978-0-08-057090-7.50024-2
Egeth H, Kahneman D (1975) Attention and effort. Am J Psychol 88(2). https://doi.org/10.2307/1421603
Brookings JB, Wilson GF, Swain CR (1996) Psychophysiological responses to changes in workload during simulated air traffic control. Biol Psychol 42(3):361–377. https://doi.org/10.1016/0301-0511(95)05167-8
Aricò P, Borghini G, Di Flumeri G, Colosimo A, Bonelli S, Golfetti A, Pozzi S, Imbert JP, Granger G, Benhacene R, Babiloni F (2016) Adaptive automation triggered by EEG-based mental workload index: a passive brain-computer interface application in realistic air traffic control environment. Front Hum Neurosci 10(OCT2016):1–13. https://doi.org/10.3389/fnhum.2016.00539
Trapsilawati F, Wickens CD, Qu X, Chen CH (2016) Benefits of imperfect conflict resolution advisory AIDS for future air traffic control. Human Factors 58(7):1007–1019. https://doi.org/10.1177/0018720816655941Factors, 49(1):57–75. https://doi.org/10.1518/001872007779598037
Ernesto Vela A, Singhose W, Feigh K, Clarke J-P, Feron E (2021) Evaluation of conflict-resolution policies on controller taskload. Chin J Aeronaut 34(5):315–330. https://doi.org/10.1016/j.cja.2020.12.006
Miller CA, Parasuraman R (2007) Designing for flexible interaction between humans and automation: delegation interfaces for supervisory control. Human
Bhattacharyya RP, Pritchett AR (2014) A computational study of autonomy and authority in air traffic control. In: AIAA/IEEE digital avionics systems conference—proceedings, 5B51–5B59. https://doi.org/10.1109/DASC.2014.6979484
Cañas JJ, Ferreira P, Puntero EVA, López P, López E, Gómez F (2017) An air traffic controller psychological model with automation. In: 7th EASN International conference: “Innovation in European Aeronautics Research”, Warsaw, Poland, September
National Science Foundation (n.d.). https://nsf.gov/awardsearch/show-Award?AWD_ID=1330077&HistoricalAwards=false. Accessed 10 Apr 2021
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Mardiks, B. (2023). A Systematic Literature Review of the Effect of Increased Automation on the Air Traffic Control Industry. In: Duffy, V.G., Landry, S.J., Lee, J.D., Stanton, N. (eds) Human-Automation Interaction. Automation, Collaboration, & E-Services, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-031-10784-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-031-10784-9_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-10783-2
Online ISBN: 978-3-031-10784-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)