Abstract
This paper proposes a risk analysis method for human-machine interaction system (HMIS). There are five correlated risk factors being analyzed in the HMIS: human conditions, human decision processes, human behaviors, machine and environment. With the considering of the system hazards in three types of risk scenario, we put forward an evaluation method on human-machine interaction risk for the HMIS, which provides a formalized table and contains the interaction interfaces risk evaluation procedure. In the method, we use a fuzzy method to quantify the human-machine interaction risk. Finally, a case study of the unmanned aerial vehicle (UAV) control system is conducted to illustrate the effectiveness of the method, and some advices for human-machine design are given.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China under Grants No. 71171008/No. 71571004, the National Key Research and Development Program of China, the Special Scientific Research Project for Civil Aircraft of the Ministry of Industry and Information Technology.
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Pan, X., Jiang, Y., Zhang, W., Zhao, X. (2020). A Risk Analysis Method for Human-Machine System Based on Risk Scenario and Interaction Interface Analysis. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2019. Advances in Intelligent Systems and Computing, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-030-20037-4_11
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DOI: https://doi.org/10.1007/978-3-030-20037-4_11
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