Can Visual Design Provide Legal Transparency? The Challenges for Successful Implementation of Icons for Data Protection
Bibliographic Data
| ID | 21564196 |
|---|---|
| Authors | Arianna Rossi (0000-0002-4199-5898, University of Luxembourg), Monica Palmirani (0000-0002-8557-8084, European Commission) |
| Year | 2020 |
| Volume | 36 |
| Issue | 3 |
| Pages | 82-96 |
| Publication date | 2020-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Design Issues (JOURNAL) |
| Journal identifiers | ISSN: 0747-9360 • E-ISSN: 1531-4790 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/desi_a_00605 |
| OpenAlex | W3037337077 |
| Language | EN |
| Citations received | 1 |
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
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |