The Effect of Design Patterns on (Present and Future) Cookie Consent Decisions:
Supplemental Materials
Nataliia Bielova
∗
Inria research centre at Université Côte d’Azur
Laura Litvine
Behavioural Insights Team (BIT)
Anysia Nguyen
Behavioural Insights Team (BIT)
Mariam Chammat
Interministerial Directorate for Public Transformation (DITP)
Vincent Toubiana
†
Commission Nationale de l’Informatique et des Libertés (CNIL)
Estelle Hary
‡
RMIT University
This document provides supplemental materials directly
cited in the proceedings of the USENIX Security Symposium
2024 entitled “The Effect of Design Patterns on (Present
and Future) Cookie Consent Decisions” by Nataliia Bielova,
Laura Litvine, Anysia Nguyen, Mariam Chammat, Vincent
Toubiana and Estelle Hary.
A Consent banners design variants
Figure 1 shows designs of all banners in our experiment.
While banners used in the study were in French language,
here we provide English translation for all banners.
B Screenshots of the task
When participants land on the fictious e-commerce website,
they first see a cookie banner they’d have to interact with
before being able to continue to the website. Figure 2 presents
screenshots of examples of what the participants would see for
one of the three fictitious websites offering to buy Bluetooth
speakers.
C Identifying behavioral levers
Table 1 shows 18 potential designs to be tested, together with
the results of the voting described in Section 3.2 of the main
paper.
D User demographics
Socio-demographic data such as age, gender and professional
status was automatically collected through the Cint panel
∗
The work was primary carried out while Nataliia Bielova was a Senior
Privacy Fellow at the LINC lab of the CNIL in 2021-2022.
†
The views and opinions expressed in this paper do not necessarily reflect
the views of the CNIL or any individual Commissioner.
‡
The work was carried out while Estelle Harry was a designer at the LINC
lab of the CNIL before May 2023.
provider before participants enter the survey itself. This al-
lowed us to better qualify the population participating in the
survey and ensure that it is as similar as possible to adult users
residing in France (see Section 3 of the main paper). Table 2
provides an overview of demographics of our participants.
E Results of all survey questions
We provide all the results of the survey questions presented
in Appendix A of the main paper. Below is the mapping of
the survey questions to the resulting tables:
• Q1: Table 3
• Q2: Table 4
• Q3: Table 5, first line
• Q4: Table 5, second line
• Q5: Table 6
• Q6: Table 7
•
Q7: because of small sample size (only 66 participants
have chosen to personalise), the collected data are not
exploitable and interpretable and we therefore omit to
present the results here.
• Q8: Table 8
• Q9: Table 9
• Q10: Table 10
• Q11: Table 11
• Q12: Table 12
• Q13: Table 13
• Q14: Table 14
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