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Neurocognitive and Physiological Factors During High-Tempo Operations最新文献

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Sustaining Performance in Mass Casualty Environments 大规模伤亡环境下的持续表现
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-18
A. Sobel
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引用次数: 0
Modeling the Impact of Workload in Network Centric Supervisory Control Settings 以网络为中心的监控设置中工作量影响的建模
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-4
M. Cummings, C. Nehme
The Department of Defense’s vision of network centric operations will likely bring about higher operator mental workload due to the large volume of incoming information. As a result, it is critical that systems designers develop predictive models of both human and system performance, such that they can determine how a proposed technology will influence not only operator workload, but also system performance. To this end, this paper introduces a discrete event simulation approach to human-system modeling that includes a quantitative relationship between workload and performance, inspired by the Yerkes-Dodson relationship. Using the concept of utilization, or operator percent busy time, as a surrogate workload measure, we demonstrate that a quantitative instantiation of an inverted-U workloadperformance curve improves discrete event simulation model predictions in a human supervisory control model of single operator control of multiple unmanned vehicles. While this work generates the first known empirical evidence of a parabolic workload-performance as a variable in a quantitative predictive human performance model, this effort is preliminary and future research implications are discussed.
国防部对网络中心作战的设想可能会带来更高的操作员心理工作量,因为大量的传入信息。因此,系统设计人员开发人员和系统性能的预测模型至关重要,这样他们就可以确定所提议的技术将如何影响操作人员的工作量,以及系统性能。为此,本文引入了一种离散事件模拟方法,用于人类系统建模,其中包括工作量和性能之间的定量关系,受Yerkes-Dodson关系的启发。使用利用率或操作员繁忙时间百分比的概念作为替代工作负载度量,我们证明了倒u型工作负载性能曲线的定量实例可以改善单个操作员控制多辆无人驾驶车辆的人类监督控制模型中的离散事件仿真模型预测。虽然这项工作产生了第一个已知的抛物线工作负荷性能作为定量预测人类绩效模型变量的经验证据,但这项工作是初步的,并讨论了未来的研究意义。
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引用次数: 16
Is Supraphysiological Enhancement Possible, and What are the Downsides? 超生理增强是可能的吗?它的缺点是什么?
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-16
K. Friedl
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引用次数: 0
Noninvasive Monitoring of Brain Function with Near Infrared Light 近红外光无创监测脑功能
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-6
A. Dunn
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引用次数: 0
Military Operations: Humans Not Machines Make the Difference 军事行动:人类而非机器起作用
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-15
James L. Merlo
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引用次数: 0
Systematic Measurements of Human Behavior in Naturalistic Settings 自然环境下人类行为的系统测量
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-5
M. Rizzo, J. Severson
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引用次数: 0
Systems Neuroscience Approaches to Measure Brain Mechanisms Underlying Resilience—Towards Optimizing Performance 系统神经科学方法测量大脑机制潜在的弹性-朝着优化性能
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-11
M. Paulus, A. Simmons, E. Potterat, K. Orden, J. L. Swain
Extreme environments are characterized as those situations which place a high demand on the physiological, affective, cognitive, and/or social processing resources of the individual. Extreme environments strongly perturb the body and mind, which in turn initiate complex cognitive and affective response strategies. Different types of extreme environments may share some aspects but can also have unique demand characteristics. For example, exposure to the cold and isolated environment of an Antarctic expedition may result in extreme social and sensory deprivation, whereas exposure to military combat operations may entail extreme sensory overload. It is clear that there are many different types of extreme environments or situations, but it is less clear that an individual’s cognitive and affective responses are as varied as the different types of extreme environments.
极端环境的特点是那些对个体的生理、情感、认知和/或社会处理资源提出高要求的情况。极端环境强烈扰乱身体和精神,这反过来又启动复杂的认知和情感反应策略。不同类型的极端环境可能有一些共同的方面,但也可能有独特的需求特征。例如,在南极探险中暴露在寒冷和孤立的环境中可能会导致极端的社会和感官剥夺,而暴露在军事作战行动中可能会导致极端的感官过载。很明显,存在许多不同类型的极端环境或情况,但不太清楚的是,个体的认知和情感反应是否与不同类型的极端环境一样多样。
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引用次数: 0
The US Army Future Concept for the Human Dimension: Chief Human Dimension Executive Summary 美国陆军未来人类维度概念:首席人类维度执行摘要
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-17
Steve Chandler
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引用次数: 0
Brain Processes During Expert Cognitive-Motor Performance: The Impact of Mental Stress and Emotion Regulation 专家认知运动表现中的脑过程:精神压力和情绪调节的影响
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-14
B. Hatfield, Amy J. Haufler
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引用次数: 2
Decision-making Under Risk and Stress: Developing a Testable Model 风险和压力下的决策:开发一个可测试的模型
Pub Date : 2018-09-03 DOI: 10.1201/9781315597850-13
Richard Gonzalez, I. Liberzon
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引用次数: 0
期刊
Neurocognitive and Physiological Factors During High-Tempo Operations
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