Lessons From a Comparison of Work Domain Models: Representational Choices and Their Implications
Lessons From a Comparison of Work Domain Models: Representational Choices and Their Implications
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工作领域模型比较的教训：代表性选择及其含义
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
E. Roth
中科院分区：
文献类型：
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作者：
C. Burns;A. Bisantz;E. Roth
随着认知工作分析方法的应用越来越广泛，有关建模选择的影响以及跨项目和领域建模工作的相似性的问题变得越来越重要。然而，尚未报道类似系统模型的明确比较。本文比较了两种指挥和控制环境的独立开发的工作域分析（WDA）模型。模型内容和所包含节点类型的相似性证明 WDA 技术可以捕获有关目的和约束的基本元素。这些共识点为开发军事指挥和控制系统的工作域表示提供了共同的起点。比较还揭示了模型之间的差异。尽管内容上的差异反映了覆盖范围和详细程度的差异，但其他差异对应于建模方法中更基本的选择。其中包括传感器的处理、模型中的集成水平以及特定抽象约束的表示。对这些更根本差异的检查指出了如何表示 WDA 的重要自由度，并阐明了这些建模选择对指导设计的影响。这项研究的实际或潜在应用包括帮助分析师做出工作域建模选择以及生成命令和控制环境的工作域模型。
As methods in cognitive work analysis become more widely applied, questions regarding the impact of modeling choices and similarities in modeling efforts across projects and domains are increasingly relevant. However, no explicit comparison of models of similar systems has been reported. This paper compares independently developed work domain analysis (WDA) models of two command and control environments. Similarities in model content and the types of nodes included provide evidence that WDA techniques can capture fundamental elements regarding purposes and constraints. These points of agreement provide a common starting point for developing work domain representations of military command and control systems. The comparison also revealed differences between the models. Although differences in content reflected differences in scope of coverage and level of detail, other differences corresponded to more fundamental choices in modeling approach. These included the treatment of sensors, level of integration in the model, and representation of particular abstract constraints. Examination of these more fundamental differences pointed to important degrees of freedom in how to represent a WDA and clarified the implications of these modeling choices for guiding design. Actual or potential applications of this research include aiding analysts in making work domain modeling choices as well as producing work domain models of command and control environments.