Cookie Disclaimers: Impact of Design and Users’ Attitude
Berens, Benjamin Maximilian
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)
1; Dietmann, Heike 2; Krisam, Chiara
2; Kulyk, Oksana; Volkamer, Melanie 11 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.
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.
| 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 |