dapi:基于本体的数据保护图标集

Arianna Rossi, M. Palmirani
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引用次数: 7

摘要

众所周知,隐私政策是难以理解和冗长的文本,几乎没有人阅读和理解。这就是为什么通用数据保护条例(GDPR)引入了提高信息透明度的条款,包括图标作为澄清数据实践的视觉手段。然而,对于一般抽象且外行人不熟悉的法律概念传播的图形符号创作与评价的研究仍处于起步阶段。此外,详细的可视化表示可以支持用户对底层概念的理解,但以牺牲简单性和可用性为代价。本章描述了创建和评估dapi的方法,dapi是一种机器可读的数据保护图标集,它是根据新兴的法律设计学科中以人为本的方法设计的。参与式设计方法确保了法律专家、设计师和其他相关利益相关者的观点在富有成效的对话中结合在一起,而用户研究则根据经验确定了图标集作为法律领域交流手段的优缺点。来自其他学科的输入也是基本的:从美学、人体工程学和符号学中汲取的规范原则包括在方法论中。此外,dapi以GDPR的本体PrOnto为模型,从而为语义网提供了全面的解决方案。结合合法标准XML Akoma Ntoso中的隐私策略描述,这种方法使图标具有机器可读性和可自动检索性。因此,图标可以作为冗长的隐私声明中的信息标记,并支持文档的有效导航。通过这种方式,可以映射和连接法律信息的不同表示,以增强其可理解性:律师可读层,机器可读层和人类可读层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DaPIS: An Ontology-Based Data Protection Icon Set
Privacy policies are known to be impenetrable and lengthy texts that are hardly read and poorly understood. This is why the General Data Protection Regulation (GDPR) introduces provisions to enhance information transparency including icons as visual means to clarify data practices. However, the research on the creation and evaluation of graphical symbols for the communication of legal concepts, which are generally abstract and unfamiliar to laypeople, is still in its infancy. Moreover, detailed visual representations can support users’ comprehension of the underlying concepts, but at the expense of simplicity and usability. This Chapter describes a methodology for the creation and evaluation of DaPIS, a machine-readable Data Protection Icon Set that was designed following human-centered methods drawn from the emerging discipline of Legal Design. Participatory design methods have ensured that the perspectives of legal experts, designers and other relevant stakeholders are combined in a fruitful dialogue, while user studies have empirically determined strengths and weaknesses of the icon set as communicative means for the legal sphere. Inputs from other disciplines were also fundamental: canonical principles drawn from aesthetics, ergonomics and semiotics were included in the methodology. Moreover, DaPIS is modelled on PrOnto, an ontology of the GDPR, thus offering a comprehensive solution for the Semantic Web. In combination with the description of a privacy policy in the legal standard XML Akoma Ntoso, such an approach makes the icons machine-readable and automatically retrievable. Icons can thus serve as information markers in lengthy privacy statements and support an efficient navigation of the document. In this way, different representations of legal information can be mapped and connected to enhance its comprehensibility: the lawyer-readable, the machine-readable, and the human-readable layers.
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