Interactive friction in consent forms Why we need global settings for informed decisions

dc.contributor.advisorSchraffenberger, H.K.
dc.contributor.advisorHaselager, W.F.G.
dc.contributor.authorGeels, Jorrit
dc.description.abstractInternet users deal with data sharing requests every day. In these consent requests, the users are often nudged towards taking the less privacy-friendly option. We argue that nudging towards any choice option in these contexts could compromise deliberate choice making and is consequently argued to potentially be undermining the European General Data Protection Regulation (GDPR) or unethical. This thesis then generally addresses the existing issues with consent and introduces a framework to empirically determine how well a design performs at obtaining lawful consent. To improve on these issues regarding consent, we procure a set of design guidelines based on this framework, and propose and alternative consent form design pattern. This pattern requires the user to interact with the decision making material before expressing their consent (`interactors'). We compare the interactor pattern to nudging and non-nudging patterns in an online experiment (N = 216) using the proposed framework, while emphasising on informed consent and control. Our results indicate that the interactor pattern does not outperform the other designs with respect to deliberation, rationality, attention and control. These results support the idea that the current de nition of consent as legislated in the GDPR has put a large burden on the user, resulting in cognitive overload and seemingly automatic accepting behaviour. To minimise future cognitive load, we plead for the introduction of a global default system where users can indicate their privacy preferences through re ective patterns. Future research should focus on what decisions should and should not be taken over by prede ned user settings. We call for an interdisciplinary approach to investigate the issues with digital consent and digital choice environments, and pose an overview of the future challenges per discipline.
dc.thesis.facultyFaculteit der Sociale Wetenschappen
dc.thesis.specialisationspecialisations::Faculteit der Sociale Wetenschappen::Artificial Intelligence::Bachelor Artificial Intelligence
dc.thesis.studyprogrammestudyprogrammes::Faculteit der Sociale Wetenschappen::Artificial Intelligence
dc.titleInteractive friction in consent forms Why we need global settings for informed decisions
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