Interaction-Based Measures of Cognitive Systems
Interaction-Based Measures of Cognitive Systems
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DOI：
10.1518/155534309x433302
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发表时间：
2009-03-01
影响因子：
2
通讯作者：
Gorman, Jamie C.
中科院分区：
文献类型：
--
作者：
Cooke, Nancy J.;Gorman, Jamie C.
将认知工程集成到系统工程过程中需要利用人类及其环境中分布的认知和行为的可变性的测量方法。对于认知系统集成来说，重要的是测量不仅可靠、有效，而且不引人注目，并且能够实时提供预测和诊断信息。为了实现这些目标，我们开发了系统衡量标准（在我们的例子中是小团队），这些衡量标准在很大程度上基于通信数据的自动顺序分析。这些度量已映射到系统性能、系统变化、系统过程、协调和态势感知，因此对于认知系统集成活动具有潜在价值。
Integrating cognitive engineering into the systems engineering process requires measurement methodologies that capitalize on variability in cognition and behavior distributed across people and their environment. It is important for cognitive system integration that measures be not only reliable and valid but also unobtrusive and capable of providing predictive and diagnostic information in real time. To achieve these objectives we have developed measures of systems (in our case, small teams of humans) that are based heavily on the automated sequential analysis of communication data. These measures have been mapped to system performance, system change, system process, coordination, and situation awareness and thus are of potential value for cognitive system integration activities.