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Designing automation to reduce operator errors

机译:设计自动化以减少操作员错误

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This paper describes an approach to dealing with mode confusion errors by first modeling blackbox software behavior and then using analysis methods and tools to assist in searching the models for predictable error forms, i.e., for features that contribute to operator mistakes. The analysis results can be used to redesign the automation, to change operator training and procedures, or to design appropriate human-computer interfaces to help avoid mistakes. The approach requires a model of the blackbox behavior that is both formal and easily readable and reviewable by humans. The models we use are part of the software specifications in a methodology called SpecTRM (Specification Tools and Requirements Methodology) and thus the analysis is done directly on the system requirements specification and does not require extra modeling effort.
机译:本文介绍了一种通过首先对黑盒软件行为进行建模,然后使用分析方法和工具来帮助模型搜索可预测错误形式(即有助于操作员错误的特征)的方式来处理模式混淆错误。分析结果可用于重新设计自动化,更改操作员培训和程序,或设计适当的人机界面以帮助避免错误。该方法需要一个黑盒行为模型,该模型既正式又易于人类阅读和审查。我们使用的模型是称为SpecTRM(规范工具和需求方法论)的方法中的软件规范的一部分,因此,分析是直接根据系统需求规范进行的,不需要额外的建模工作。

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