Citation: | FENG Chuanyan, WANYAN Xiaoru, CHEN Hao, et al. Situation awareness model based on multi-resource load theory and its application[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(7): 1438-1446. doi: 10.13700/j.bh.1001-5965.2017.0532(in Chinese) |
Based on the attention-situation awareness (A-SA) model and the attention resource allocation situation awareness model, a new quantitative model of situation awareness was put forward, which considers the multi-resource load and information recognition theory. In this model, the multi-resource load was applied to the low-level attention perception. The individual's situational awareness was composed of the damping of initial cognitive resource and the inherent deep-level rule availability matching after the activation of situation. In order to verify the usability of the model, 15 subjects were selected to complete the simulated flight task in different situations, and the subjective 10-dimensional situational awareness rating technology (10-D SART) and objective flight performance, situational awareness global assessment technique (SAGAT), and physiological measurement (electrocardiogram, electrodermal activity and respiration) were combined to carry out the experimental test. The experimental analysis indicates that the trend of the theoretical value predicted by the model is significantly related to the experimental results. The proposed situation awareness quantitative model can give some reference to guide the design of man-machine interface in the cockpit and to optimize the flight task assignment.
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