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Optimal Selection of Task Allocation Schemes for the Multi-Crew Cabin Based on Mental Workload Prediction Technology

NIE Jun-feng;LIU Wei-ping;LIU Xi-xia;MA Jin;Department of Mechanical Engineering,Academy of Armored Forces Engineering;  
In view of the basic trend that the number of armored vehicle cabin crew gradually has reduced under the informationized condition,the operational characteristic for armored vehicle cabin crew was analyzed and the mental workload prediction model was built based on multiple resource theory(MRT).A task allocation method under the mental workload prediction theory was proposed and the effectiveness of this method was illustrated by a case simulation analysis to solve the problem of armored vehicle crew cabin task allocation under the emergency condition for the warship formation.The results indicate that this method can describe the change of crew's mental workload clearly during the whole task.With this method,the selection of task allocation schemes can be quantized.It is an effective and feasible approach for scheme selection.
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