The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception
Open accessAbstract
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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Cites
The Impact of Social Media on Children, Adolescents, and Families
O'Keeffe, G. S., Clarke-Pearson, K., & Council on Communications and Media (2011) · Pediatrics · doi:10.1542/peds.2011-0054 · Cited by 1,987
The neural basis of loss aversion in decision-making under risk
Tom, S. M., Fox, C. R., Trepel, C., & Poldrack, R. A. (2007) · Science · doi:10.1126/science.1134239 · Cited by 1,733
Persuasive Systems Design: Key Issues, Process Model, and System Features
Oinas-Kukkonen, H., & Harjumaa, M. (2009) · Communications of the Association for Information Systems · doi:10.17705/1cais.02428 · Cited by 1,663
Gaze and eye contact: a research review
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Enhancing the explanatory power of usability heuristics
Nielsen, J. (1994) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/191666.191729 · Cited by 1,439
Usability of mobile applications: literature review and rationale for a new usability model
Harrison, R., Flood, D., & Duce, D. (2013) · Journal of Interaction Science · doi:10.1186/2194-0827-1-1 · Cited by 736
Media use and brain development during adolescence
Crone, E. A., & Konijn, E. A. (2018) · Nature Communications · doi:10.1038/s41467-018-03126-x · Cited by 464 · cited 2×
“This is a topic that must be investigated” As previously mentioned, children are less aware of the difference between Ads and real content and are more easily manipulable than adults [36, 75, 95].”
BackgroundUsing fNIRS in Usability Testing: Understanding the Effect of Web Form Layout on Mental Workload
Lukanov, K., Maior, H. A., & Wilson, M. L. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858236 · Cited by 34
Cited by
The AI-mediated intimacy economy: a paradigm shift in digital interactions
Bozdağ, A. A. (2025) · AI & SOCIETY · doi:10.1007/s00146-024-02132-6 · Cited by 42
Impact of Voice Fidelity on Decision Making: A Potential Dark Pattern?
Dubiel, M., Sergeeva, A., & Leiva, L. A. (2024) · Proceedings of the 29th International Conference on Intelligent User Interfaces · doi:10.1145/3640543.3645202 · Cited by 16
Krauß, V., McGill, M., Kosch, T., Thiel, Y. M., Schön, D., & Gugenheimer, J. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713083 · Cited by 13
Metadata
- Authors
- Di Geronimo, L., Braz, L., Fregnan, E., Palomba, F., & Bacchelli, A.
- Venue
- Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2020-04-21
- Pages
- 1-14
- OpenAlex
- W3030993165
- Cited by
- 267
- References
- 8
- FWCI
- 16.92
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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