Burns C M
University of Toronto, Canada.
Hum Factors. 2000 Summer;42(2):226-41. doi: 10.1518/001872000779656471.
Computer displays are being designed for increasingly larger industrial systems. As the application domain scales up, maintaining integration across different kinds of views becomes more challenging. This paper presents the results of a study of three different approaches to integration based on the spatial and temporal proximity of related information objects. The domain used for evaluation was a simulation of an industry-scale conventional power plant. All three displays were ecological displays developed using an abstraction hierarchy analysis. Views were integrated in a high-space/low-time, low-space/high-time, and high-space/high-time integration of means-end related objects. During a fault detection and diagnosis task, it was found that a low level of integration, high-space/ low-time, provided the fastest fault detection time. However, the most integrated condition, high-space/high-time, resulted in the fastest and most accurate fault diagnosis performance. Actual or potential applications of this research include computer displays for large-scale systems such as network management or process control, for which problem solving is critical and integration must be maintained.
计算机显示器正被设计用于越来越大型的工业系统。随着应用领域的扩大，跨不同类型视图维持集成变得更具挑战性。本文展示了一项基于相关信息对象的空间和时间接近度对三种不同集成方法进行研究的结果。用于评估的领域是一个工业规模传统发电厂的模拟。所有三个显示器都是使用抽象层次分析开发的生态显示器。视图通过手段-目的相关对象的高空间/低时间、低空间/高时间和高空间/高时间集成进行整合。在故障检测和诊断任务期间，发现低水平集成，即高空间/低时间，提供了最快的故障检测时间。然而，最集成的条件，即高空间/高时间，带来了最快且最准确的故障诊断性能。本研究的实际或潜在应用包括用于大规模系统（如网络管理或过程控制）的计算机显示器，对于这些系统，问题解决至关重要且必须维持集成。
