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Digital Nudges for Privacy Awareness: From consent to informed consent?

Kristoffer Bergram, Tony Gjerlufsen, Paul Maingot, Valéry Bezençon & Adrian Holzer

Résumé Maintaining a private life in our digital world is gradually becoming harder. With Internet services having ever increasing access to personal data, it is crucial to raise user awareness about what privacy guarantees they offer. Regulations have recently been enacted such as the European General Data Privacy Regulation (GDPR). Yet, online service providers still have terms and privacy policies to which users tend to agree without ever viewing or reading them. By using digital nudges, this paper explores how small changes in the choice architecture can be designed to increase the informed consent and privacy awareness of users. The results from a double-blind online experiment (n = 183) show that phrasing the agreement differently and providing a highlights alternative to the existing quick-join choice architecture can significantly increase the number of users who view and read the terms and privacy policy. However, these digital nudges seem to not increase the users’ recollection of what they have agreed to. The experimental results are complemented by a field test using one of the proposed designs in the IKEA Place app (n = 81’431).
   
Mots-clés digital nudging, persuasive technology, online privacy, choice architecture, design features, HCI, privacy policy, terms and conditions, privacy awareness, informed consent, biggest lie on the Internet
   
Citation Bergram, K., Gjerlufsen, T., Maingot, P., Bezençon, V., & Holzer, A. (2020, 15 June). Digital Nudges for Privacy Awareness: From consent to informed consent?. Paper presented at Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference.
   
Type Actes de congrès (Anglais)
Nom de la conférence Proceedings of the 28th European Conference on Information Systems (ECIS) (An Online AIS Conference)
Date de la conférence 15-6-2020
Editeur commercial AIS
URL https://aisel.aisnet.org/ecis2020_rp/64