In-Flight Planning and Intelligent Pilot Aids for Emergencies and Non- Nominal Flight Conditions Using Automatically Generated Flight Plans

Kalambi, Vittesh V.; Pritchett, Amy R.; Bruneau, Daniel P. J.; Endsley, Mica R.; Kaber, David B.

doi:10.1037/e577822012-001

Cited by 2 publications

(1 citation statement)

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“…The WMC dynamic aircraft model (Large Civil Transport Aircraft similar to a Boeing 747, validated in previous human-in-the-loop studies [46]) is modified from its standard large transport aircraft to make the Bass et al (Airbus A310 model) scenario appear with the same or a similar altitude profile. Specifically, the aircraft model was modified to match the maximum speed of the Airbus model used in SAL, and the target speeds were adjusted to fit the assumptions made in SAL.…”

Section: ) Bass Et Al's Matching Case [8]mentioning

confidence: 99%

Example of a Complementary Use of Model Checking and Human Performance Simulation

Gelman

Feigh

Rushby

2014

IEEE Trans. Human-Mach. Syst.

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Aircraft automation designers are faced with the challenge to develop and improve automation such that it is transparent to the pilots using it. To identify problems that may arise between pilots and automation, methods are needed that can uncover potential problems with automation early in the design process. In this paper, simulation and model checking are combined and their respective advantages leveraged to find problematic humanautomation interaction using methods that would be available early in the design process. A particular problem of interest is automation surprises, which describe events when pilots are surprised by the actions of the automation. The Tarom flight 381 incident involving the former Airbus automatic speed protection logic, leading to an automation surprise, is used as a common case study. Results of this case study indicate that both methods identified the automation surprise found in the Tarom flight 381 incident, and that the simulation identified additional automation surprises associated with that flight logic. The work shows that the methods can be symbiotically combined, and the joint method is suitable to identify problematic human-automation interaction such as automation surprise.

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Section: ) Bass Et Al's Matching Case [8]mentioning

confidence: 99%

Example of a Complementary Use of Model Checking and Human Performance Simulation

Gelman

Feigh

Rushby

2014

IEEE Trans. Human-Mach. Syst.

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Effects of Modes of Cockpit Automation on Pilot Performance and Workload in a Next Generation Flight Concept of Operation

Gil¹,

Kaufmann²,

Kim³

et al. 2010

Advances in Human Factors and Ergonomics Series

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The objective of this study was to compare the effects of various forms of advanced cockpit automation for flight planning on pilot performance and workload under a futuristic concept of operation. A lab experiment was conducted in which airline pilots flew simulated tailored arrivals to an airport using three modes of automation (MOAs), including a control-display unit (CDU) to the aircraft flight management system, an enhanced CDU (CDU+), and a continuous descent approach (CDA) tool. The arrival scenario required replanning to avoid convective activity and was constrained by a minimum fuel requirement at the initial approach fix. The CDU and CDU+ modes allowed for point-by-point path planning or selection among multiple standard arrivals, respectively. The CDA mode completely automated the route replanning for pilots. It was expected that the higher-level automation would significantly reduce pilot workload and improve overall flight performance. In general, results indicated that the MOAs influenced pilot performance and workload responses according to hypotheses. This study provides new knowledge about the relationship of cockpit automation and interface features with pilot performance and workload in a novel next generation-style flight concept of operation.

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In-Flight Planning and Intelligent Pilot Aids for Emergencies and Non- Nominal Flight Conditions Using Automatically Generated Flight Plans

Cited by 2 publications

References 0 publications

Example of a Complementary Use of Model Checking and Human Performance Simulation

Example of a Complementary Use of Model Checking and Human Performance Simulation

Effects of Modes of Cockpit Automation on Pilot Performance and Workload in a Next Generation Flight Concept of Operation

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