Volume 36, Number 4, August 2018
|Page(s)||715 - 721|
|Published online||24 October 2018|
Assessment of UAV's Operator Cognitive State Based on Behavior Signals
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
For exploring the relationship between the mental or cognitive state and metric of vigilance test for unmanned aerial vehicle (UAV), a vigilance state evaluation method and sphere of application based on behavior signals is established. A classical vigilance test avoiding to crash is set. During the experiments, the subjective ratings as well as behavior signals (Response Time, Lapse) are recording. The dynamic changing of behavior signals is analyzed using statistical analysis. The results demonstrate that compared with continuous PVT test, the subject's mental workload in rest PVT test decreases dramatically. Compared other metrics, the speed of response time can reflect the dynamic changing of subject's mental state. The metric of Q-50 has a strong robustness for outlier of subject. Considering that the metrics have strong correlation with operator's cognitive state, they can effectively analyze the different workload.
Key words: unmanned aerial vehicle(UAV) / vigilance / behavior signals / metric / design of experiments / statistical analysis
关键字 : 无人机 / 警觉度 / 行为信号 / 度量准则 / 实验设计 / 统计学方法
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
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