Defeating the Vigilance Decrement

P. Hancock, W. Volante, J. Szalma
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引用次数: 15

Abstract

OCCUPATIONAL APPLICATIONS We tested the boundaries of Parasuraman's vigilance taxonomy to see how porous they are. The degree of porosity is especially informative in mitigating and eliminating the vigilance decrement. These results are relevant to every form of human operation in automated, semi-automated, and autonomous computer-mediated systems. TECHNICAL ABSTRACT Background: When vigilance was stultified, and threatened to become moribund, Parasuraman's vigilance taxonomy revivified the area of research. The taxonomic description features dichotomies across event rate and target comparison type to establish the boundaries of consistent monitoring degradation. This insight implicated resource theory as the causal explanation for the vigilance decrement, founded on the depleting attentional demands of increasing memory load. Despite its manifest value, taxonomic differentiations still require the fixation of constraints that continually have to be challenged and re-evaluated in light of emerging evidence. Such a challenge is erected here. Purpose: To re-examine and re-evaluate the fundamental vigilance taxonomy in order to provide methods to defeat the vigilance decrement, predominantly by design. Methods: Using synthetic integration of accrued knowledge since its original inception down to the present time, our work evaluates and explicates limits to the boundaries represented in the classic vigilance taxonomy. This synthesis serves as a precursor to identifying ways to mitigate or eliminate the vigilance decrement. Results: The thresholds that connote the taxonomic limits are shown to be frangible and the very natures of their identified dis-continuities are themselves informative for methods of remediation. Conclusions: These results are relevant to every form of human operation in automated, semi-automated, and autonomous computer-mediated systems.
战胜警惕性递减
我们测试了Parasuraman警惕性分类法的边界,看看它们有多多孔。孔隙度在减轻和消除警惕性下降方面具有特别重要的信息。这些结果与自动化、半自动化和自主计算机中介系统中各种形式的人类操作相关。技术摘要背景:当警觉性被搁置并濒临死亡时,帕拉苏拉曼的警觉性分类学使这一研究领域重新焕发了生机。分类学描述以事件率和目标比较类型之间的二分法为特征,以建立一致监控退化的边界。这一见解暗示了资源理论作为警觉性下降的因果解释,建立在增加记忆负荷的消耗注意力需求的基础上。尽管其明显的价值,分类分化仍然需要固定的约束条件,不断受到挑战,并根据新出现的证据重新评估。这样的挑战就竖立在这里。目的:重新审视和评价基本警觉性分类,以提供以设计为主的战胜警觉性衰减的方法。方法:利用从最初开始到现在的累积知识的综合集成,我们的工作评估和阐明了经典警惕性分类法中所代表的边界的局限性。这种综合可作为确定减轻或消除警觉性下降的方法的前兆。结果:包含分类学限制的阈值显示为脆弱的,其确定的不连续性的性质本身为补救方法提供了信息。结论:这些结果与自动化、半自动化和自主计算机中介系统中各种形式的人类操作相关。
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