User-Tailored Privacy

Modern information systems require their users to make a myriad of privacy decisions, but users are often neither motivated nor capable of managing this deluge of decisions. This chapter covers the concept of tailoring the privacy of an information system to each individual user. It discusses practical problems that may arise when collecting data to determine a user’s privacy preferences, techniques to model these preferences, and a number of adaptation strategies that can be used to tailor the system’s privacy practices, settings, or interfaces to the user’s modeled preferences. Throughout the chapter, we provide recommendations on how to develop user-tailored privacy solutions, depending on the requirements and characteristics of the system and its users.

• Publication year

  2021

• Venue

  Modern Socio-Technical Perspectives on Privacy

• Publication date

  2021-07-29

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/978-3-030-82786-1_16
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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