B. Berens, H. Dietmann, Chiara Krisam, O. Kulyk, M. Volkamer
{"title":"Cookie Disclaimers: Impact of Design and Users’ Attitude","authors":"B. Berens, H. Dietmann, Chiara Krisam, O. Kulyk, M. Volkamer","doi":"10.1145/3538969.3539008","DOIUrl":null,"url":null,"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.","PeriodicalId":306813,"journal":{"name":"Proceedings of the 17th International Conference on Availability, Reliability and Security","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 17th International Conference on Availability, Reliability and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3538969.3539008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
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.