Abstract
Based on cognitive extent, this paper focuses on workload evaluation for spatial fine-grained tracking control tasks. Cognitive model for manual rendezvous and docking (RvD) control task is setup in the light of cognitive architecture firstly. Then, total active time for each module in cognitive architecture is calculated to represent the active time for corresponding brain region. Workload predicted by both the NASA-TLX subjective scale method and proposals are compared to verify the evaluation’s validation on a cognitive degree. Finally, mapping the corresponding activities of the cognitive model to the human brain functional related area and making the brain cortex region’s activity animation with time of model’s running, the simulation for mental workload of R&D manual task is implemented. The results show that evaluation of human brain workload from a cognitive level is more effective, objective and accurate than traditional scales and physiological measurement methods.
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Acknowledgments
This work is supported by the Fusion Development Foundation of China Fusion Co. Ltd., the CCiS Institute of Zhejiang Sci-Tech University and Natural Science Foundation of Zhejiang Provincial (No. LY12C09005).
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Liu, Y., Tian, Z., Liu, Y., Li, J., Fu, F. (2020). Cognitive Architecture Based Mental Workload Evaluation for Spatial Fine Manual Control Task. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_73
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