Evaluating differences in cognitive functions and personality traits among air traffic controllers with and without error history

Hedayati, Sepideh; Sadeghi-Firoozabadi, Vahid; Bagheri, Morteza; Heidari, Mahmood; Sze, N.N.

doi:10.1016/j.ssci.2021.105208

Cited by 15 publications

(2 citation statements)

References 47 publications

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“…One of the most critical positions in the field of aviation safety is aviation operator. Working in this environment necessitates high levels of cognitive capabilities, which might be hampered or lowered in efficiency and agility while under strain (Hedayati et al , 2021). The air travel demand puts more pressure on operators than ever before, especially Air traffic controllers (ATOCs).…”

Section: Automation Impacts On Operator’s Cognitive and Noncognitive ...mentioning

confidence: 99%

Assessment of aviation operators’ efficacy in highly automated systems

Jazzar

Alharasees

Kale

2022

AEAT

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Purpose Technological advances and the adaption of higher levels of automation serve as a potential cause of aviation incidents and accidents. This study aims to investigate the effect of automated systems on the operator’s performance total load (work, task, information, communication and mental) in highly advanced systems. Design/methodology/approach A questionnaire was designed for aviation operators (Pilots, ATCOs) to understand the intensity to which automation has affected their working environment and personal behavior. In total, 115 responses were received from 44 countries worldwide. Approximately, 66% of respondents were pilots, 27% Air traffic controllers and 7% were both pilots and ATCOs with various experience levels. Findings Based on the results of this questionnaire, this study suggests the following: creating a total load management model to understand the best load balance an operator could perform at providing rapidly updated aviation training methods and approaches investigating the influence and consequences of adding new tools to the operator’s working station and redesigning it to achieve top operator-machine equilibrium redesigning information and alerting systems. Practical implications Intrinsic limitations include an implicit expression of bias in the way questions are phrased, ambiguity in question phrasing that leads to incorrect conclusions and challenges regarding articulating complex concepts. Originality/value In this paper, the authors aimed to assess and investigate factors leading to current and future incidents and accidents resulting from human factors, specifically caused or developed because of highly automated systems.

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Section: Automation Impacts On Operator’s Cognitive and Noncognitive ...mentioning

confidence: 99%

Assessment of aviation operators’ efficacy in highly automated systems

Jazzar

Alharasees

Kale

2022

AEAT

View full text Add to dashboard Cite

show abstract

“…There is no reason why artificial intelligence cannot be incorporated into ATM, especially when considering autonomous systems are starting to be considered as teammates, rather than simply a separate machine (Grimm, Demir, Gorman, & Cooke, 2018). Particularly when considering the strong situational awareness and higher order cognitive processing abilities that ATCOs are required to demonstrate during operations (Hedayati, Sadeghi-Firoozabadi, Bagheri, Heidari, & Sze, 2021), autonomous teammates have the capability to ease the workload of ATCOs (Tran, Pham, Goh, Alam, & Duong, 2020;Tran, Pham, Goh, Alam, & Duong, 2019). Furthermore, it has been suggested that autonomous teammates can assist with the more mundane tasks of ATCOs so that their cognitive resources can be freed up for more complex and higher order tasks that have a much larger cost associated with an incorrect decision (Endsley, 2017), which is particularly important in ATM, where collisions for example, may have extremely disastrous consequences.…”

Section: Background Literaturementioning

confidence: 99%