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The Effect of Design Patterns on (Present and Future) Cookie Consent Decisions

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  • Nataliia Bielova

    (PRIVATICS - Privacy Models, Architectures and Tools for the Information Society - Centre Inria de l'Université Grenoble Alpes - Inria - Institut National de Recherche en Informatique et en Automatique - CITI - CITI Centre of Innovation in Telecommunications and Integration of services - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées - Inria - Institut National de Recherche en Informatique et en Automatique - Centre Inria de Lyon - Inria - Institut National de Recherche en Informatique et en Automatique)

  • Laura Litvine

    (BIT - Behavioural Insights Team)

  • Anysia Nguyen

    (BIT - Behavioural Insights Team)

  • Mariam Chammat

    (DITP - Interministerial Directorate for Public Transformation)

  • Vincent Toubiana

    (Cnil - Commission nationale de l'informatique des libertés - CNIL)

  • Estelle Hary

    (RMIT University - Royal Melbourne Institute of Technology University)

Abstract

Today most websites in the EU present users with a consent banner asking about the use of cookies or other tracking technologies. Data Protection Authorities (DPAs) need to ensure that users can express their true preferences when faced with these banners, while simultaneously satisfying the EU GDPR requirements. To address the needs of the French DPA, we conducted an online experiment among 3,947 participants in France exploring the impact of six different consent banner designs on the outcome of users' consent decision. We also assessed participants' knowledge and privacy preferences, as well as satisfaction with the banners. In contrast with previous results, we found that a "bright pattern" that highlights the decline option has a substantial effect on users' decisions. We also find that two new designs based on behavioral levers have the strongest effect on the outcome of the consent decision, and participants' satisfaction with the banners. Finally, our study provides novel evidence that the effect of design persists in a short time frame: designs can significantly affect users' future choices, even when faced with neutral banners.

Suggested Citation

  • Nataliia Bielova & Laura Litvine & Anysia Nguyen & Mariam Chammat & Vincent Toubiana & Estelle Hary, 2024. "The Effect of Design Patterns on (Present and Future) Cookie Consent Decisions," Post-Print hal-04913806, HAL.
    • Handle: RePEc:hal:journl:hal-04913806
    Note: View the original document on HAL open archive server: https://hal.science/hal-04913806v1
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    References listed on IDEAS

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    1. Hummel, Dennis & Maedche, Alexander, 2019. "How effective is nudging? A quantitative review on the effect sizes and limits of empirical nudging studies," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 80(C), pages 47-58.
    2. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    3. Jachimowicz, Jon M. & Duncan, Shannon & Weber, Elke U. & Johnson, Eric J., 2019. "When and why defaults influence decisions: a meta-analysis of default effects," Behavioural Public Policy, Cambridge University Press, vol. 3(2), pages 159-186, November.
    4. Russell Golman & David Hagmann & George Loewenstein, 2017. "Information Avoidance," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 96-135, March.
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