Understanding Online Privacy—A Systematic Review of Privacy Visualizations and Privacy by Design Guidelines

Susanne Barth, D. Ionita, P. Hartel
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引用次数: 18

Abstract

Privacy visualizations help users understand the privacy implications of using an online service. Privacy by Design guidelines provide generally accepted privacy standards for developers of online services. To obtain a comprehensive understanding of online privacy, we review established approaches, distill a unified list of 15 privacy attributes and rank them based on perceived importance by users and privacy experts. We then discuss similarities, explain notable differences, and examine trends in terms of the attributes covered. Finally, we show how our results provide a foundation for user-centric privacy visualizations, inspire best practices for developers, and give structure to privacy policies.
理解在线隐私——隐私可视化和隐私设计指南的系统回顾
隐私可视化帮助用户了解使用在线服务的隐私含义。隐私设计准则为在线服务的开发人员提供了普遍接受的隐私标准。为了全面了解在线隐私,我们回顾了已有的方法,提炼出15个隐私属性的统一列表,并根据用户和隐私专家的感知重要性对它们进行排名。然后,我们讨论相似之处,解释显著差异,并根据所涵盖的属性检查趋势。最后,我们展示了我们的结果如何为以用户为中心的隐私可视化提供基础,启发开发人员的最佳实践,并给出隐私策略的结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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