In the modern digital world users need to make privacy and security choices that have far-reaching consequences. Researchers are increasingly studying people's decisions when facing with privacy and security trade-offs, the pressing and time consuming disincentives that influence those decisions, and methods to mitigate them. This work aims to present a systematic review of the literature on privacy categorization, which has been defined in terms of profile, profiling, segmentation, clustering and personae. Privacy categorization involves the possibility to classify users according to specific prerequisites, such as their ability to manage privacy issues, or in terms of which type of and how many personal information they decide or do not decide to disclose. Privacy categorization has been defined and used for different purposes. The systematic review focuses on three main research questions that investigate the study contexts, i.e. the motivations and research questions, that propose privacy categorisations; the methodologies and results of privacy categorisations; the evolution of privacy categorisations over time. Ultimately it tries to provide an answer whether privacy categorization as a research attempt is still meaningful and may have a future.

翻译：在现代数字世界中，用户需要做出具有深远影响的隐私与安全选择。研究人员日益关注人们在面对隐私与安全权衡时的决策行为、影响这些决策的紧迫且耗时的消极因素，以及缓解这些因素的应对方法。本研究旨在对隐私分类相关文献进行系统性综述——该概念涉及用户画像、用户描绘、用户细分、聚类分析与用户人格等定义维度。隐私分类的核心在于根据特定前提对用户进行归类，例如用户处理隐私问题的能力，或用户决定/不决定披露的个人信息类型与数量。隐私分类已被定义并应用于不同场景。本系统综述聚焦三大研究问题：提出隐私分类的研究语境（即动机与研究问题）、隐私分类的方法与结果、以及隐私分类随时间的演变规律。最终，本综述试图回答一个核心问题：将隐私分类作为研究方向是否仍具学术价值并拥有发展前景。