长期隔离和禁闭下的认知疲劳和复杂决策。

G R Hockey, J Sauer
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引用次数: 33

摘要

对四名健康受试者(三男一女)的认知疲劳和主观状态进行了评估,他们被限制在一个刺激空间站环境的高压氧舱中60天。他们被要求每天进行工作记忆/决策测试,模拟航天器大气中污染物水平的管理。有关一组污染物的信息显示在“参考屏幕”上。这些信息必须被记住,然后通过四个“状态屏幕”来决定是否需要采取纠正措施。受试者可随时查阅参考资料。在指令和训练中强调低错误率。除了错误率之外,还根据做出决策和检查参考屏幕所花费的时间(决策时间和检查时间)来衡量性能。主观测量还包括工作量和环境资源(个人控制和支持),任务前的焦虑和疲劳水平,以及任务期间消耗的认知努力。有证据表明,在隔离期的前半段有一个持续的学习过程,这可能是因为隔离前的练习不足,因此在隔离期的后半段寻找减少的情况变得复杂。学习曲线(负指数函数)拟合隔离期前半段的数据点,并分析后四周的预测数据与观测数据之间的残差。在隔离的最后几周,所有受试者的决策时间和检查时间都有所增加,其中一名受试者的错误率也有所增加。工作量水平被报告为中等,但在四个科目之间有所不同,资源也是如此。在整个60天期间,焦虑程度较低且相对稳定,但在后半段,疲劳程度有所上升。这对于两个保持所需的低错误率的受试者来说尤其如此。努力也相当稳定,因为它倾向于跟随工作需求和疲劳的变化。个体受试者会以不同的方式适应长期隔离的压力。两名被试在主观要求增加、额外认知努力和表现放缓的情况下保持较低的错误率。其他两个科目表现出更广泛的下降,包括高错误率,但主观需求没有增加。建议对个体适应模式进行分析,作为理解和预测航天飞行期间隔离和禁闭影响的一种方式。
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Cognitive fatigue and complex decision making under prolonged isolation and confinement.

Cognitive fatigue and subjective state were assessed in four healthy subject (three males and one female), confined for a period of 60 days in a hyperbaric chamber stimulating a space station environment. They were required to carry out daily a working memory/decision-making test, simulating the management of the levels of contaminants present in a spacecraft atmosphere. Information about a set of contaminants is presented on a 'reference screen.' This has to be memorized, then used to make decisions about the need for corrective action across a sequence of four 'status screens.' Subjects may check back to the reference information at any time. A low error rate was emphasized in the instructions and training. In addition to error rate, performance was also measured in terms of the time taken to make decisions and checks of reference screens (decision time and check time). Subjective measures were also made of workload and environmental resources (personal control and support), levels of anxiety and fatigue before the task, and cognitive effort expended during the task. The search for decrements during the second half of the isolation period was complicated by evidence of a continued learning process during the first half, probably because of insufficient practice before isolation. Learning curves (negative exponential functions) were fitted to the data points for the first half of the isolation period, and residuals between predicted and observed data for the second four weeks were analyzed. All subjects showed increases in decision time and check time during the last weeks of isolation, with one subject also showing an increase in errors. Workload levels were reported as moderate, but varied across the four subjects, The same was true for resources. Anxiety was low and relatively stable over the entire 60-day period, but fatigue levels were elevated during the second half. This was particularly true for the two subjects who maintained the required low error rate. Effort was also quite stable, through it tended to follow changes in work demands and fatigue. Individual subjects are seen to adapt to the stress of prolonged isolation in different ways. Two subjects maintained low error rates under increasing subjective demands by additional cognitive effort and slowing of performance. The other two subjects exhibit more widespread decrement, including high error rates, without increase in subjective demands. The analysis of individual patterns of adaptation is recommended as a way of understanding and predicting the impact of isolation and confinement during spaceflights.

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