Publication | Closed Access
Weatherwise: Evaluation of a Cue-Based Training Approach for the Recognition of Deteriorating Weather Conditions during Flight
94
Citations
16
References
2003
Year
Training SystemFault DiagnosisEngineeringMachine LearningIntelligent DiagnosticsSafety ScienceDiagnosisWeather ForecastingSituation AwarenessInjury PreventionIntelligent SystemsNumerical Weather PredictionData SciencePattern RecognitionManagementSystems EngineeringMeteorological MeasurementMeteorologyHuman ReliabilityCognitive SciencePredictive AnalyticsForecastingHuman ErrorWeather ConditionsComputer VisionGeneral Aviation FatalitiesAviation SystemsAerospace EngineeringCue-based Training ApproachEye TrackingRemote SensingComplex Industrial Environments
Inappropriate and ineffective weather-related decision making continues to account for a significant proportion of general aviation fatalities in the United States and elsewhere. This study details the evaluation of a computer-based training system that was developed to provide visual pilots with the skills necessary to recognize and respond to the cues associated with deteriorating weather conditions during flight. A total of 66 pilots were assigned to one of two groups, and the evaluation process was undertaken at both a self-report and performance level. At the self-report level, the results suggested that pilots were more likely to use the cues following exposure to the training program. From a performance perspective, there is evidence to suggest that cue-based training can improve the timeliness of weather-related decision making during visual flight rules flight. Actual or potential applications of this research include the development of computer-based training systems for fault diagnosis in complex industrial environments.
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