图灵机任务分析的工作域分析验证与验证

Julien Rechard, A. Bignon, P. Berruet, T. Morineau
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引用次数: 1

摘要

尽管在认知工程中,工作域分析作为一种方法学框架的使用频率越来越高,但由该方法产生的工作域模型的验证和确认仍然是一个重要的问题。在本文中,我们提出了一种基于图灵机形式化并命名为“图灵机任务分析”的方法来验证和验证工作领域模型。将该方法应用于船舶淡水系统的“因果域”工作域分析,表明该模型有可能突出需要改进的地方。更准确地说,对工作领域模型上的降级任务场景的逐步分析指出了第一次建模中不令人满意的方面,如规范过多、规范不足、工作领域功能的遗漏,或者在工作领域模型中不适当地包含属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Verification and validation of a work domain analysis with Turing machine task analysis
Whereas the use of work domain analysis as a methodological framework in cognitive engineering increases rapidly in frequency, verification and validation of work domain models produced by this method become yet a significant issue. In this article, we propose to use a method based on Turing machine formalism and named "Turing Machine Task Analysis" to verify and validate work domain models. The application of this method on a work domain analysis, a ship fresh water system which is a "causal domain" showed the possibility to highlight improvements that are needed by this model. More precisely, the step by step analysis of a degraded task scenario on the work domain model pointed out unsatisfactory aspects in first modelling, like over specification, under specification, omission of work domain affordances, or unsuitable inclusion of properties in the work domain model.
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