This Website Uses Nudging: MTurk Workers' Behaviour on Cookie Consent Notices

要旨

Data protection regulatory policies, such as the European Union's General Data Protection Regulation (GDPR), force website operators to request users' consent before collecting any personal information revealed through their web browsing. Website operators, motivated by the potential value of the collected personal data, employ various methods when designing consent notices (e.g., dark patterns) in order to convince users to allow the collection of as much of their personal data as possible. In this paper, we design and conduct a user study where 1100 MTurk workers interact with eight different designs of cookie consent notices. We show that the nudging designs used in the different cookie consent notices have a large effect on the choices user make. Our results show that colour-based nudging bars can have a significant impact on the participants' decisions to change the default cookie settings, despite using dark patterns. Also, in contrast to previous works, we report that users who do not use ad-blocking software are less likely to modify default cookie settings. Our findings demonstrate the importance of nudged interfaces and the effects that orthogonal nudging techniques can have on users' choices.

著者
Carlos Bermejo Fernandez
Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Dimitris Chatzopoulos
HKUST, Hong Kong, Hong Kong
Dimitrios Papadopoulos
HKUST, Kowloon, Hong Kong
Pan Hui
Hong Kong University of Science and Technology, Hong Kong, Hong Kong
論文URL

https://doi.org/10.1145/3476087

動画

会議: CSCW2021

The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing

セッション: Privacy and Security

Papers Room C
8 件の発表
2021-10-27 20:30:00
2021-10-27 22:00:00