On the accessibility of the grayscale version of a PoN-enabled use case notation

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Software-Evolution and Process Pub Date : 2024-04-01 DOI:10.1002/smr.2667
Mohamed El-Attar
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Abstract

The physics of notations (PoN) is a framework for designing cognitively effective notations. Cognitive effectiveness refers to the ease (speed and accuracy) by which model readers read models. In 2019, a PoN-Enabled notation for use case diagrams was proposed. It has been empirically proven that the cognitive effectiveness of this new notation is superior to the original use case notation. The new notation however relies in part on the use of color. The accessibility of this new design has not been validated for use by the colorblind community, or any users who need to use a grayscale version of the models created. The PoN framework was not designed to explicitly account for the colorblind community or users who can only access grayscale versions of models. Inclusivity should not be an afterthought in software engineering practice or research. To this end, this paper empirically evaluates the cognitive effectiveness of the PoN-enabled use case notation in situations where it is viewed in grayscale.

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关于启用 PoN 的用例符号灰度版本的无障碍性
符号物理学(PoN)是设计认知有效符号的框架。认知效率是指模型读者阅读模型的难易程度(速度和准确性)。2019 年,有人提出了一种用于用例图的支持 PoN 的符号。经验证明,这种新符号的认知效能优于原始用例符号。不过,新符号在一定程度上依赖于颜色的使用。色盲群体或任何需要使用灰度版本模型的用户尚未验证这种新设计的可访问性。PoN 框架在设计时并没有明确考虑色盲群体或只能使用灰度版模型的用户。在软件工程实践或研究中,不应该事后才考虑包容性问题。为此,本文对启用 PoN 的用例符号在灰度环境下的认知效果进行了实证评估。
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来源期刊
Journal of Software-Evolution and Process
Journal of Software-Evolution and Process COMPUTER SCIENCE, SOFTWARE ENGINEERING-
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109
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