Affiliation:
1. University of Twente, Drienerlolaan, NB Enschede, Netherlands
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.
Funder
Netherlands Organisation for Scientific Research
Netherlands Organisation for Applied Scientific Research
Wetenschappelijk Onderzoek- en Documentatiecentrum
Centric B.V
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
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