Abstract

Abstract 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.

Keywords:
Computer science Adaptation (eye) Privacy by Design Privacy software Information privacy User modeling Internet privacy User information Personally identifiable information Computer security Human–computer interaction Information system User interface Engineering

Metrics

4
Cited By
3.60
FWCI (Field Weighted Citation Impact)
69
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Privacy, Security, and Data Protection
Social Sciences →  Social Sciences →  Sociology and Political Science
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Sexuality, Behavior, and Technology
Social Sciences →  Psychology →  Clinical Psychology
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