Interaction-Based Measures of Cognitive Systems

被引：38
作者：
Cooke, Nancy J. [1 ,2 ]
Gorman, Jamie C. [2 ,3 ]
机构：
[1] Arizona State Univ, Appl psychol, Tempe, AZ 85287 USA
[2] Cognit Engn Res Inst, Mesa, AZ USA
[3] Arizona State Univ, Dept Appl Psychol, Tempe, AZ 85287 USA
来源：
JOURNAL OF COGNITIVE ENGINEERING AND DECISION MAKING | 2009年 / 3卷 / 01期
关键词：
D O I：
10.1518/155534309X433302
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：27 / 46
页数：20
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