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UI Dark Patterns and Where to Find Them A Study on Mobile Applications and User Perception


Di Geronimo, Linda; Braz, Larissa; Fregnan, Enrico; Palomba, Fabio; Bacchelli, Alberto (2020). UI Dark Patterns and Where to Find Them A Study on Mobile Applications and User Perception. In: CHI '20: CHI Conference on Human Factors in Computing Systems, Honolulu HI USA, 25 May 2020 - 30 May 2020, 1-14.

Abstract

A Dark Pattern (DP) is an interface maliciously crafted to deceive users into performing actions they did not mean to do. In this work, we analyze Dark Patterns in 240 popular mobile apps and conduct an online experiment with 589 users on how they perceive Dark Patterns in such apps. The results of the analysis show that 95% of the analyzed apps contain one or more forms of Dark Patterns and, on average, popular applications include at least seven different types of deceiving interfaces. The online experiment shows that most users do not recognize Dark Patterns, but can perform better in recognizing malicious designs if informed on the issue. We discuss the impact of our work and what measures could be applied to alleviate the issue.

Abstract

A Dark Pattern (DP) is an interface maliciously crafted to deceive users into performing actions they did not mean to do. In this work, we analyze Dark Patterns in 240 popular mobile apps and conduct an online experiment with 589 users on how they perceive Dark Patterns in such apps. The results of the analysis show that 95% of the analyzed apps contain one or more forms of Dark Patterns and, on average, popular applications include at least seven different types of deceiving interfaces. The online experiment shows that most users do not recognize Dark Patterns, but can perform better in recognizing malicious designs if informed on the issue. We discuss the impact of our work and what measures could be applied to alleviate the issue.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Computer Graphics and Computer-Aided Design
Physical Sciences > Human-Computer Interaction
Physical Sciences > Software
Language:English
Event End Date:30 May 2020
Deposited On:18 Dec 2020 05:00
Last Modified:19 Dec 2020 21:01
Publisher:ACM
ISBN:9781450367080
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/3313831.3376600
Other Identification Number:merlin-id:20222

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