Airline Pilot Training Today and Tomorrow

Orlady, Linda M.

doi:10.1016/b978-0-12-374946-8.10020-2

Cited by 9 publications

(5 citation statements)

References 2 publications

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Section: Team Cognition In Aviationmentioning

confidence: 99%

“…(Orlady, 2010;Transport Canada, 2016). The objective of inserting SOPs in the flight attendant manual (FAM) is to replace the time and effort spent by the senior crewmembers in explaining routine related information and making it accessible to new crewmembers at all times (Orlady, 2010). As per Dowd (2010), the aim of the classes is to equip new crewmembers with knowledge of how to build a shared mental model or common ground to understand and coordinate tasks effectively in flight attendants' workspace, while the simulations are training facilities designed to look like a real aircraft.…”

Section: Team Cognition In Aviationmentioning

confidence: 99%

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Collaboration And Awareness Amongst Flight Attendants

Wong

Neustaedter

2017

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

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Collaboration is a core component of work activities amongst flight attendants as they work to promote onboard safety and deliver a high level of customer service. Yet we know little of how flight attendants collaborate and how we can best design technology to support this collaboration. Through an interview study with flight attendants, we explored their collaborative practices and processes and how technology aided such practices.While technologies like interphones and flight attendant call buttons acted as collaboration tools, we identified instances where the usability and functionality of these

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Section: Team Cognition In Aviationmentioning

confidence: 99%

Section: Team Cognition In Aviationmentioning

confidence: 99%

Collaboration And Awareness Amongst Flight Attendants

Wong

Neustaedter

2017

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

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“…The promise of Next Generation Air Transportation System (NextGen) technology to reduce environmental impact and increase airspace capacity, fuel efficiency, and crew situational awareness will likely impede pilot ability to switch attention without omission errors and reduce working memory, particularly by replacing primary voice ATC communications with controller-pilot data link communications in busy terminal airspace operations, and by shifting responsibility of time-based traffic separation and severe weather avoidance to the flight deck (Loukopoulos et al, 2009;Orlady, 2010;U.S. FAA, 2010).…”

Section: Brief Historymentioning

confidence: 99%

“…In high-risk environments, teams instead of individuals typically operate complex equipment and technologies. Human-technology aviation systems require humans to cooperate and communicate with clarifying language to increase performance and team situational awareness (TmSA)-use active listening, share critical observations, verbalize and verify critical actions, and monitor and crosscheck crew action and computer management systems (Gunther, 2010;Orlady, 2010).…”

Section: Introductionmentioning

confidence: 99%

Robust Flight Deck Systems: Harnessing the Synergistic Power of the Crew

Stasio¹

2013

Journal of Human Performance in Extreme Environments

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Robust flight decks are possible in both normal and novel operations. Existing crew resource and error management programs can improve team-centered resilience with Oshry's organization development (OD) principles. The need on the flight deck is to diminish the invisible behavioral gap between espoused theory and theory-in-use by balancing Oshry's four basic elements that make up robust human systems-differentiation, homogenization, integration, and individuation. This low-cost OD vision is offered as a guide for organizations to tailor existing aircrew recurrent training modules. Assessment and diagnosis measures are recommended for continuous improvement, so this OD framework includes adaptive feedback interventions and soft-skills behavioral markers for organizations to consider.

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“…As a special form of education, pilot training is a critical component for the aviation industry and closely relates to flight safety and flight task execution. Well-trained, highly proficient and professional pilots are extremely important for the safety of humans and airplanes [1]. The training process establishes a primary interface between pilots and the potential environment that they will face during real flight operations.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Pilot Training and Education – Towards a Machine Learning Aided Instructor Assistant for Flight Simulators

Yang

Lammers

et al. 2021

Communications in Computer and Information Science

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The a viation industry was set to see unprecedented growth over the next two decades. Key occupations predicted to be in shortage included not only pilots, but also flight instructors. Undoubtedly, Covid-19 is currently having a huge impact on the industry. Nevertheless, the current environment further strengthens the need for pilots to maintain their training. Consequently, there is pressure to deliver high-quality training outcomes for an increasing number of pilots and trainees with limited resources available. Current simulator-based training schemes are limited by placing a significant reliance on the personal experience of flight instructors to assess pilot performance. Finding ways to increase the quality and efficiency of simulator-based training is therefore of high importance. With recent advances in artificial intelligence, it is possible to use machine learning techniques to extract latent patterns from massive datasets, to analyze pilot trainees' activities, and to provide feedback on their performance by processing hundreds of different parameters available on flight simulators. An ML-aided pilot training and education framework is needed that exploits the power of the ML techniques for more objective performance evaluation. In this paper, we describe a conceptual framework for such a system and outline steps toward the development of a full digital instructor system with the potential to overcome current limitations and enabling comprehensive and meaningful feedback that is tailored to the individual need of the trainee.

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Airline Pilot Training Today and Tomorrow

Cited by 9 publications

References 2 publications

Collaboration And Awareness Amongst Flight Attendants

Collaboration And Awareness Amongst Flight Attendants

Robust Flight Deck Systems: Harnessing the Synergistic Power of the Crew

Artificial Intelligence in Pilot Training and Education – Towards a Machine Learning Aided Instructor Assistant for Flight Simulators

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