Air Force Research Laboratory, Wright-Patterson AFB, Ohio, USA.
Hum Factors. 2019 Nov;61(7):1099-1111. doi: 10.1177/0018720819829949. Epub 2019 Mar 25.
We developed a computational model of the effects of sleep deprivation on the vigilance decrement by employing the methods of system dynamics modeling.
Situations that require sustained attention for a prolonged duration can cause a decline in cognitive performance, the so-called . One factor that should influence the vigilance decrement is fatigue in the form of sleep deprivation.
We employed the methods of system dynamics modeling (numerical-integration techniques for modeling complex feedback systems) to create a computational model of the vigilance decrement. We then simulated the computational effects of sleep deprivation on the behavior of that model, using empirical data obtained from the literature for calibrating such effects.
Sleep deprivation of 2 hr over a 14-day period should produce an additional decline of 9% in detection performance over that found with the typical vigilance decrement, whereas 4 hr of sleep deprivation over 14 days should produce an additional decline of 14% in detection performance.
With respect to dual-process theory, it is through its deleterious effects on analytical cognition that sleep deprivation should impact the vigilance decrement.
Such computational modeling may be advantageous for human-machine teaming by theoretically allowing a future autonomous software agent to anticipate the decline of human performance and compensate accordingly.
我们采用系统动力学建模方法，构建了一个睡眠剥夺对警戒衰退影响的计算模型。
需要长时间持续注意力的情况会导致认知表现下降，即所谓的警戒衰退。影响警戒衰退的一个因素是睡眠剥夺引起的疲劳。
我们采用系统动力学建模方法（用于建模复杂反馈系统的数值积分技术）来创建一个警戒衰退的计算模型。然后，我们使用文献中获得的经验数据来校准这些影响，模拟睡眠剥夺对该模型行为的计算影响。
在 14 天的时间内，睡眠剥夺 2 小时应该会导致检测性能比典型的警戒衰退额外下降 9%，而在 14 天的时间内，睡眠剥夺 4 小时则会导致检测性能额外下降 14%。
根据双加工理论，睡眠剥夺应该通过对分析认知产生有害影响来影响警戒衰退。
这种计算模型对于人机团队合作可能是有利的，因为它理论上允许未来的自主软件代理预测人类绩效的下降，并相应地进行补偿。
