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Cookie Disclaimers: Impact of Design and Users’ Attitude

Berens, Benjamin Maximilian ORCID iD icon 1; Dietmann, Heike 2; Krisam, Chiara 2; Kulyk, Oksana; Volkamer, Melanie 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)

Abstract:

Dark patterns in cookie disclaimers are factors that are used to lead
users to accept more cookies than needed and more than they are
aware of. The contributions of this paper are (1) evaluating the
efficacy of several of these factors while measuring actual behavior;
(2) identifying users’ attitude towards cookie disclaimers including
how they decide which cookies to accept or reject. We show that
different visual representation of the reject/accept option have a
significant impact on users’ decision.We also found that the labeling
of the reject option has a significant impact. In addition, we confirm
previous research regarding biasing text (which has no significant
impact on users’ decision). Our results on users’ attitude towards
cookie disclaimers indicate that for several user groups the design
of the disclaimer only plays a secondary role when it comes to
decision making. We provide recommendations on how to improve
the situation for the different user groups.


Postprint §
DOI: 10.5445/IR/1000150197
Originalveröffentlichung
DOI: 10.1145/3538969.3539008
Scopus
Zitationen: 4
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 23.08.2022
Sprache Englisch
Identifikator ISBN: 978-1-4503-9670-7
KITopen-ID: 1000150197
HGF-Programm 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems
Erschienen in Proceedings of the 17th International Conference on Availability, Reliability and Security
Veranstaltung 17th International Conference on Availability, Reliability and Security (ARES 2022), Wien, Österreich, 23.08.2022 – 26.08.2022
Verlag Association for Computing Machinery (ACM)
Seiten 1–20
Schlagwörter cookies, privacy, web tracking, user study, dark patterns
Nachgewiesen in Scopus
Dimensions
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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