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Can Visual Design Provide Legal Transparency? The Challenges for Successful Implementation of Icons for Data Protection

Bibliographic Data

ID21564196
AuthorsArianna Rossi (0000-0002-4199-5898, University of Luxembourg), Monica Palmirani (0000-0002-8557-8084, European Commission)
Year2020
Volume36
Issue3
Pages82-96
Publication date2020-06-01
Open AccessYes
TypeARTICLE
VenueDesign Issues (JOURNAL)
Journal identifiersISSN: 0747-9360 • E-ISSN: 1531-4790
PublisherMIT Press - Journals (PUBLISHER)
DOI10.1162/desi_a_00605
OpenAlexW3037337077
LanguageEN
Citations received1

Design is a key player in the future of data privacy and data protection. The General Data Protection Regulation (GDPR) established by the European Union aims to rebalance the information asymmetry between the organizations that process personal data and the individuals to which that data refers. Machine-readable, standardized icons that present a “meaningful overview of the intended processing” are suggested by the law as a tool to enhance the transparency of information addressed to data subjects. However, no specific guidelines have been provided, and studies on privacy iconography are very few. This article describes research conducted on the creation and evaluation of icons representing data protection concepts. First, we introduce the methodology used to design the Data Protection Icon Set (DaPIS): participatory design methods combined with legal ontologies and machine-readable representations. Second, we discuss some of the challenges that have been faced in the development and evaluation of DaPIS and similar icon sets. Third, we provide some tentative responses and indicate a way forward for evaluation of the effectiveness of privacy icons and their widespread adoption

Business · Computer security · Data Protection Act 1998 · Data science · European union · General Data Protection Regulation · Icon · Information privacy · Internet privacy · Privacy by Design · Computer Science · Digital Imaging in Medicine · Law in Society and Culture · Privacy, Security, and Data Protection

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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