认知训练对“蛟龙号”模拟驾驶作业脑力负荷影响评估

目的 创建一个实验室环境内可重复易操作的应激诱发范式, 激发个体接近自然条件下的应激状态。方法 通过虚拟现实技术和仿真道具构建出高空场景，设计了“体验高空”、“高空救猫”及“躲避飞鸟”3个任务来诱发志愿者产生应激反应,记录了44名男性大学生志愿者在5个时间点(任务前2次、任务完成即刻1次、任务后休息2次)主观报告的紧张压力程度和唾液皮质醇水平。结果 志愿者在高空场景的3个任务诱发下,主观报告的应激水平在5个时间点上有显著的差异(P <0.001),且在时间点3 (任务完成后)达到峰值;皮质醇水平在5个时间点上有显著的差异(P <0.001),且在时间点4(任务完成后15 min)达到峰值。结论 一方面,主观报告中个体的消极情绪在应激后显著增加,压力水平在正式任务开始前的准备阶段和练习阶段逐步升高并在任务完成后达到峰值。另一方面,应激后的唾液皮质醇水平显著提高,达到了与基于VR场景的TSST范式相似的水平。因此,初步验证了该范式在诱发应激反应上的有效性。

Research on Mental Fatigue Detection Method Based on Head Movement and Eye Movement

Object To identify high cognitive workload of pilots and decrease accidents caused by human error. Methods Simulated flight mission was designed to induce high and low cognitive load status in the subjects. Based on the randomness and fuzziness of eye movement, a two-dimensional cloud model based on fixation time and pupil diameter was established. According to the mathematical characteristics of these two eye movement indicators, 40 qualitative determination rules were constructed. On the basis of the principle of rule generator, a qualitative model of cloud model was constructed, and 110 sets of experimental data were judged. Results The fixation timeand the diameter of pupil had an obvious difference (P<0.05). The cognitive load was determined by qualitative reasoning generator, and the average accuracy reached 78.95%. In the case of the same training data, the recognition accuracy was higher than the K nearest neighbor (KNN) algorithm and the support vector machine (SVM) algorithm. Conclusion The qualitative reasoning generator can be used for the detection of cognitive load, and the recognition rate can be further improved as the number of participants increases.