Air-ground Integration Dynamics in Exchange of Information for Control

Corker, Kevin; Fleming, Ken; Lane, John

doi:10.1007/978-3-662-04632-6_8

Cited by 5 publications

(10 citation statements)

References 1 publication

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“…Controllers stated they felt that shared-separation procedures put them in a "reactive" control mode instead of allowing them to be "proactive" and use their typical planning skills. Other investigators had similar findings (Corker et al, 2001). Controllers were concerned that pilots would cancel free flight in a conflict situation that would be impossible for controllers to resolve in time.…”

Section: Controller Information Requirements and Proceduressupporting

confidence: 62%

“…These data are not too surprising given the novelty of the free flight concept. Previous research has also found high incidences of controller cancellation in free flight scenarios (Corker et al, 2001).…”

Section: Cancellation Of Free Flight Operationsmentioning

confidence: 92%

“…This may also explain why pilots seemed to use more multiple sub-maneuvers for conflict resolution than controllers do. Corker et al (2001) also found more prevalent use of a single maneuver resolution by controllers for sharedseparation conflict management.…”

Section: Conflict Resolution Strategiesmentioning

confidence: 95%

“…This was likely why there was less total duration of air↔ground communications in SS:L2. The lack of intent relay by the pilot participants was an interesting result because the findings of Corker et al (2001) indicate the perceived importance of direct relay of intent to controllers in a free flight environment.…”

Section: Air↔ground Communicationmentioning

confidence: 98%

“…In a study conducted by Corker, Fleming, and Lane (2001), controllers managed traffic under varying levels of separation authority. Different mixes of free flight equipage were manipulated to examine the potential effects of equipage upon distribution of separation authority.…”

Section: Literature Reviewmentioning

confidence: 99%

See 4 more Smart Citations

Air-Ground Integration Experiment

Lozito

Mackintosh

DiMeo³

et al. 2001

Air Traffic Control Quarterly

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This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The United States Government assumes no liability for the contents or use thereof. The United States Government does not endorse products or manufacturers. Trade or manufacturer's names appear herein solely because they are considered essential to the objective of this report. This document does not constitute FAA certification policy.

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Section: Controller Information Requirements and Proceduressupporting

confidence: 62%

Section: Cancellation Of Free Flight Operationsmentioning

confidence: 92%

Section: Conflict Resolution Strategiesmentioning

confidence: 95%

Section: Air↔ground Communicationmentioning

confidence: 98%

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Air-Ground Integration Experiment

Lozito

Mackintosh

DiMeo³

et al. 2001

Air Traffic Control Quarterly

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A theory and model of conflict detection in air traffic control: Incorporating environmental constraints.

Loft¹,

Bolland²,

Humphreys³

et al. 2009

Journal of Experimental Psychology: Applied

103

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A performance theory for conflict detection in air traffic control is presented that specifies how controllers adapt decisions to compensate for environmental constraints. This theory is then used as a framework for a model that can fit controller intervention decisions. The performance theory proposes that controllers apply safety margins to ensure separation between aircraft. These safety margins are formed through experience and reflect the biasing of decisions to favor safety over accuracy, as well as expectations regarding uncertainty in aircraft trajectory. In 2 experiments, controllers indicated whether they would intervene to ensure separation between pairs of aircraft. The model closely predicted the probability of controller intervention across the geometry of problems and as a function of controller experience. When controller safety margins were manipulated via task instructions, the parameters of the model changed in the predicted direction. The strength of the model over existing and alternative models is that it better captures the uncertainty and decision biases involved in the process of conflict detection. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

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Adaptive decision making in a dynamic environment: A test of a sequential sampling model of relative judgment.

Vuckovic

Kwantes

Neal

2013

Journal of Experimental Psychology: Applied

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Research has identified a wide range of factors that influence performance in relative judgment tasks. However, the findings from this research have been inconsistent. Studies have varied with respect to the identification of causal variables and the perceptual and decision-making mechanisms underlying performance. Drawing on the ecological rationality approach, we present a theory of the judgment and decision-making processes involved in a relative judgment task that explains how people judge a stimulus and adapt their decision process to accommodate their own uncertainty associated with those judgments. Undergraduate participants performed a simulated air traffic control conflict detection task. Across two experiments, we systematically manipulated variables known to affect performance. In the first experiment, we manipulated the relative distances of aircraft to a common destination while holding aircraft speeds constant. In a follow-up experiment, we introduced a direct manipulation of relative speed. We then fit a sequential sampling model to the data, and used the best fitting parameters to infer the decision-making processes responsible for performance. Findings were consistent with the theory that people adapt to their own uncertainty by adjusting their criterion and the amount of time they take to collect evidence in order to make a more accurate decision. From a practical perspective, the paper demonstrates that one can use a sequential sampling model to understand performance in a dynamic environment, allowing one to make sense of and interpret complex patterns of empirical findings that would otherwise be difficult to interpret using standard statistical analyses.

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Air-ground Integration Dynamics in Exchange of Information for Control

Cited by 5 publications

References 1 publication

Air-Ground Integration Experiment

Air-Ground Integration Experiment

A theory and model of conflict detection in air traffic control: Incorporating environmental constraints.

Adaptive decision making in a dynamic environment: A test of a sequential sampling model of relative judgment.

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