Training Pilots for Unexpected Events: A Simulator Study on the Advantage of Unpredictable and Variable Scenarios

Objective: This study tested whether simulator-based training of pilot responses to unexpected or novel events can be improved by including unpredictability and variability in training scenarios. Background: Current regulations allow for highly predictable and invariable training, which may not be sufficient to prepare pilots for unexpected or novel situations in-flight. Training for surprise will become mandatory in the near future. Method: Using an aircraft model largely unfamiliar to the participants, one group of 10 pilots (the unpredictable and variable [U/V] group) practiced responses to controllability issues in a relatively U/V manner. A control group of another 10 pilots practiced the same failures in a highly predictable and invariable manner. After the practice, performance of all pilots was tested in a surprise scenario, in which the pilots had to apply the learned knowledge. To control for surprise habituation and familiarization with the controls, two control tests were included. Results: Whereas the U/V group required more time than the control group to identify failures during the practice, the results indicated superior understanding and performance in the U/V group as compared to the control group in the surprise test. There were no significant differences between the groups in surprise or performance in the control tests. Conclusion: Given the results, we conclude that organizing pilot training in a more U/V way improves transfer of training to unexpected situations in-flight. Application: The outcomes suggest that the inclusion of U/V simulator training scenarios is important when training pilots for unexpected situations.

[1]  Jan Albert Mulder,et al.  Effective Model size for the prediction of the lateral control envelope of damaged aircraft , 2015 .

[2]  Rogier Woltjer,et al.  Sensemaking following surprise in the cockpit—a re-framing problem , 2016, Cognition, Technology & Work.

[3]  U. Neisser Cognitive Psychology. (Book Reviews: Cognition and Reality. Principles and Implications of Cognitive Psychology) , 1976 .

[4]  René van Paassen,et al.  Dealing With Unexpected Events on the Flight Deck: A Conceptual Model of Startle and Surprise , 2017, Hum. Factors.

[5]  J. Merriënboer,et al.  How experts deal with novel situations: A review of adaptive expertise , 2014 .

[6]  Frank Brady,et al.  Contextual Interference: A Meta-Analytic Study , 2004, Perceptual and motor skills.

[7]  D. Rohrer The effects of spacing and mixing practice problems , 2009 .

[8]  M. Eysenck,et al.  Anxiety and cognitive performance: attentional control theory. , 2007, Emotion.

[9]  R. Schmidt A schema theory of discrete motor skill learning. , 1975 .

[10]  Patrick Stuart Murray,et al.  Fear-Potentiated Startle: A Review from an Aviation Perspective , 2015 .

[11]  Meyer Nahon,et al.  Response of airline pilots to variations in flight simulator motion algorithms , 1988 .

[12]  Richard E. Clark,et al.  Blueprints for complex learning: The 4C/ID-model , 2002 .

[13]  R. Magill,et al.  Can Forgetting Facilitate Skill Acquisition , 1985 .

[14]  Douglas W. Oard,et al.  Extending sense-making models with ideas from cognition and learning theories , 2008, ASIST.

[15]  Joris Field,et al.  Flexible Procedures to Deal with Complex Unexpected Events in the Cockpit , 2017 .

[16]  Gary Klein,et al.  Making Sense of Sensemaking 2: A Macrocognitive Model , 2006, IEEE Intelligent Systems.

[17]  Max Mulder,et al.  The Influence of Surprise on Upset Recovery Performance in Airline Pilots , 2017 .

[18]  R. Ryan,et al.  Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. , 1982 .

[19]  Stephen M. Casner,et al.  The Effectiveness of Airline Pilot Training for Abnormal Events , 2013, Hum. Factors.

[20]  Jennifer K. Phillips,et al.  A Data–Frame Theory of Sensemaking , 2007 .

[21]  F. Paas,et al.  Variability of Worked Examples and Transfer of Geometrical Problem-Solving Skills: A Cognitive-Load Approach , 1994 .

[22]  J A Caldwell,et al.  Fatigue in the aviation environment: an overview of the causes and effects as well as recommended countermeasures. , 1997, Aviation, space, and environmental medicine.

[23]  Mark T. Keane,et al.  Why some surprises are more surprising than others: Surprise as a metacognitive sense of explanatory difficulty , 2015, Cognitive Psychology.