Abstract. Objective
The human performance of the pilot status during flight missions is an important factor affecting the flight safety. Due to the lag of experimental evaluation, it is necessary to establish a human performance model for ex ante prediction, which provides new methods and ideas for ex ante analysis of human-computer interaction system. Methods-Based on the task network, this present study proposes a new simulation calculation method of pilot situation awareness that is calculated by the difference between resource supply and demand as well as the task understanding. Results- Then an experiment is conducted to analyze the correlation between the simulation calculation results by the method and the experimental measurement results. Conclusions- It is showed that the theoretical values by the method is significantly and strongly correlated with the experimental values, thus verifying the effectiveness of the situation awareness simulation calculation method. Application- It can be supported for the human performance prediction assessment in future air combat and flight missions.
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Acknowledgement
This work is supported by the joint program of the national Natural Science Foundation of China (NSFC) and Civil Aviation Administration of China (CAAC), No. U1733118.
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Yang, X., Duan, Y., Peng, R., Wang, Y., Zhou, S., Liu, S. (2023). A Situation Awareness Simulation Calculation Method for Pilot Performance Modeling. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering. MMESE 2023. Lecture Notes in Electrical Engineering, vol 1069. Springer, Singapore. https://doi.org/10.1007/978-981-99-4882-6_24
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DOI: https://doi.org/10.1007/978-981-99-4882-6_24
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