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Turing machine task analysis: a method for modelling affordances in the design process

机译:图灵机任务分析:一种在设计过程中对能力进行建模的方法

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摘要

Recently, the affordance-based approach was promoted as an ecological design methodology integrating the user-object interaction dimension. However, the number of properties afforded by an object can potentially be very large. We present a new method called Turing machine task analysis (TMTA). This method is respectively founded on ecological psychology and Turing machine formalism. This method allows for identifying relevant affordances in the scope of a particular task and possible user-object configurations that can involve degraded situations of interaction. We illustrate the application of TMTA on the task of writing a message on a paper with a pen. We conclude that TMTA can help the designer to explore affordances through a formalised simulation of task.
机译:最近,基于可负担性的方法被推广为一种整合了用户-对象交互维度的生态设计方法。但是,对象提供的属性数量可能非常大。我们提出了一种称为图灵机任务分析(TMTA)的新方法。该方法分别基于生态心理学和图灵机形式主义。该方法允许识别特定任务范围内的相关能力和可能涉及交互情况恶化的可能的用户-对象配置。我们说明了TMTA在用笔在纸上书写消息的任务上的应用。我们得出结论,TMTA可以通过正式的任务模拟来帮助设计师探索能力。

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