Should I Agree? Delegating Consent Decisions Beyond the Individual

Bettina Nissen, Victoria Neumann, Mateusz Mikusz, Rory Gianni, Sarah Clinch, Chris Speed, Nigel Davies

Research output: Contribution to conferencePaperpeer-review

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Abstract

Obtaining meaningful user consent is increasingly problematic in a world of numerous, heterogeneous digital services. Current approaches (such as agreeing to Terms and Conditions) are rooted in the idea of individual control despite growing evidence that users do not (or cannot) exercise such control in informed ways. In this paper, we explore an alternative approach in which users can choose to delegate consent decisions to an ecosystem of third-parties including friends, experts, groups and AI entities. We present the results of a study in which we utilised a technology probe at a large international festival to explore initial public responses to this reframing – focusing in particular on when and to whom users would delegate such decisions. The results reveal substantial public interest in delegating consent and identify differing preferences depending on the privacy context, highlighting the need for alternative decision mechanisms beyond the current focus on individual choice.
Original languageEnglish
Number of pages13
Publication statusPublished - 1 May 2019
EventThe ACM CHI Conference on Human Factors in Computing Systems: CHI 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019
http://chi2019.acm.org

Conference

ConferenceThe ACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

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