Reference : A Methodological Framework to Design a Machine-Readable Privacy Icon Set
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
Law / European Law; Security, Reliability and Trust
http://hdl.handle.net/10993/37299
A Methodological Framework to Design a Machine-Readable Privacy Icon Set
English
Palmirani, Monica mailto [University of Bologna > CIRSFID]
Rossi, Arianna mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > > ; University of Bologna > CIRSFID]
Martoni, Michele mailto [University of Bologna > CIRSFID]
Margaret, Hagan mailto [Stanford University > Stanford Law's Center on the Legal Profession]
2018
Data Protection / LegalTech Proceedings of the 21st International Legal Informatics Symposium IRIS 2018
Schweighofer, Erich
Yes
No
International
21st International Legal Informatics Symposium IRIS 2018
from 21-02-2018 to 23-02-2018
Salzburg
Austria
[en] Privacy icons ; privacy policies ; gdpr ; informed consent ; legal design ; legal visualizations ; legal semantic web
[en] The GDPR suggests icons to convey data practices in a more straightforward way. Although vi- sualizations to represent legal terms have many benefits, there is fear that they could be misrep- resented by designers and misinterpreted by individuals, thus hindering instead of facilitating the comprehension. In order to solve these issues, we present a methodology to generate legal visual representations that is based on an analysis of legal requirements, on an ontological representation of the legal knowledge, and on an iterative, multi-stakeholder design approach, followed by empirical evaluation.
R-AGR-0026 > Erasmus Mundus -LAST-JD > 01/09/2013 - 31/08/2016 > VAN DER TORRE Leon
http://hdl.handle.net/10993/37299

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