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Human-Machine Interaction Efficiency Factors in Flight Simulator Training Towards Chinese Pilots

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Advances in Simulation and Digital Human Modeling (AHFE 2020)

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Abstract

The efficiency of human-machine interaction between Chinese pilots in the simulator is mainly caused by three factors: pilot pressure, the interaction in training, and the application of metacognitive strategies. The sense of pressure is the factor that indirectly affects the training efficiency in simulator training. The interaction in training is a direct influencing factor and a dynamic process. The pilot continuously monitors and evaluates the current status through interaction with the tower and partners to provide adequate information for the execution and handling of the flight process. The pilot continuously receives feedback and corrects operational actions through interaction with the instructor. The application of metacognitive strategy helps pilots to coordinate cognitive resources and gradually form flight experience based on their characteristics. The interaction of several factors plays an essential role in simulator training.

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Acknowledgments

We would like to thank the instructors and the pilot students for participating the interviews, and the Boeing Company.

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Correspondence to Wei Liu .

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Li, Q. et al. (2021). Human-Machine Interaction Efficiency Factors in Flight Simulator Training Towards Chinese Pilots. In: Cassenti, D., Scataglini, S., Rajulu, S., Wright, J. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1206. Springer, Cham. https://doi.org/10.1007/978-3-030-51064-0_4

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