Dark Patterns and the Legal Requirements of Consent Banners: An Interaction Criticism Perspective
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Gray, Colin
Santos, Cristiana
Bielova, Nataliia
Toth, Michael
Clifford, Damian
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Association for Computing Machinery (ACM)
Abstract
User engagement with data privacy and security through consent
banners has become a ubiquitous part of interacting with internet services. While previous work has addressed consent banners
from either interaction design, legal, and ethics-focused perspectives, little research addresses the connections among multiple
disciplinary approaches, including tensions and opportunities that
transcend disciplinary boundaries. In this paper, we draw together
perspectives and commentary from HCI, design, privacy and data
protection, and legal research communities, using the language and
strategies of “dark patterns” to perform an interaction criticism reading of three diferent types of consent banners. Our analysis builds
upon designer, interface, user, and social context lenses to raise
tensions and synergies that arise together in complex, contingent,
and conficting ways in the act of designing consent banners. We
conclude with opportunities for transdisciplinary dialogue across
legal, ethical, computer science, and interactive systems scholarship
to translate matters of ethical concern into public policy.
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CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
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Restricted until
2099-12-31
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