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How Cognitively Effective is a Visual Notation? On the Inherent Difficulty of Operationalizing the Physics of Notations

机译:视觉符号的认知效果如何?论符号物理运作的内在困难

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The Physics of Notations (PoN) is a design theory presenting nine principles that can be used to evaluate and improve the cognitive effectiveness of a visual notation. The PoN has been used to analyze existing standard visual notations (such as BPMN, UML, etc.), and is commonly used for evaluating newly introduced visual notations and their extensions. However, due to the rather vague and abstract formulation of the PoN's principles, they have received different interpretations in their operationalization. To address this problem, there have been attempts to formalize the principles, however only a very limited number of principles was covered. This research-in-progress paper aims to better understand the difficulties inherent in operationalizing the PoN, and better separate aspects of PoN, which can potentially be formulated in mathematical terms from those grounded in user-specific considerations.
机译:符号物理(PoN)是一种设计理论,提出了九个原理,可用于评估和改善视觉符号的认知效果。 PoN已被用于分析现有的标准视觉符号(例如BPMN,UML等),并且通常用于评估新引入的视觉符号及其扩展。但是,由于PoN原则的含糊和抽象的表述,它们在运作中得到了不同的解释。为了解决这个问题,已经尝试使这些原则正式化,但是仅涵盖了非常有限的一些原则。这份正在进行中的研究论文旨在更好地理解操作PoN所固有的困难,以及更好地分离PoN的各个方面,这些方面可以用数学术语与基于用户特定考虑的术语进行表达。

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