The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
What Makes a Dark Pattern... Dark?: Design Attributes, Normative Considerations, and Measurement Methods
Open accessAbstract
There is a rapidly growing literature on dark patterns, user interface designs—typically related to shopping or privacy—that researchers deem problematic. Recent work has been predominantly descriptive, documenting and categorizing objectionable user interfaces. These contributions have been invaluable in highlighting specific designs for researchers and policymakers. But the current literature lacks a conceptual foundation: What makes a user interface a dark pattern? Why are certain designs problematic for users or society?
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Cited by
Gray, C. M., Santos, C. T., Bielova, N., & Mildner, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642436 · Cited by 121
Literature Reviews in HCI: A Review of Reviews
Stefanidi, E., Bentvelzen, M., Woźniak, P. W., Kosch, T., Woźniak, M. P., Mildner, T., Schneegass, S., Müller, H., & Niess, J. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581332 · Cited by 66
Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability
Wright, L., Muenster, R. M., Vecchione, B., Qu, T., Cai, P. (., Smith, A., Comm 2450 Student Investigators, Metcalf, J., & Matias, J. N. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3630106.3658998 · Cited by 43
“A growing toolbox of "dark patterns" offers people the illusion of choice while steering people toward decisions that benefit the designers to their own detriment [10, 41].”
BackgroundNull Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability
Wright, L., Muenster, R. M., Vecchione, B., Qu, T., Pika, Cai, Investigators, C. 2. S., Metcalf, J., & Matias, J. N. (2024) · arXiv · doi:10.48550/arxiv.2406.01399 · Cited by 43
Asthana, S., Im, J., Chen, Z., & Banovic, N. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642180 · Cited by 34
Metadata
- Authors
- Mathur, A., Kshirsagar, M., & Mayer, J.
- Venue
- Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2021-05-06
- Pages
- 1-18
- OpenAlex
- W3163081133
- Cited by
- 331
- References
- 6
- FWCI
- 31.99
- Type
- conference paper
- Language
- en
- Open access
- green
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