Access Over Deception: Fighting Deceptive Patterns through Accessibility
Pith reviewed 2026-05-15 13:52 UTC · model grok-4.3
The pith
Three deceptive patterns—countdown timers, auto-play, and hidden information—violate WCAG guidelines.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Through heuristic evaluation the authors map deceptive patterns against WCAG success criteria and conclude that Countdown Timer, Auto-Play, and Hidden Information patterns are implicated by the guidelines. Overall statistical analysis showed no significant differences by pattern type, yet the three identified patterns supply concrete targets for using accessibility requirements to limit UI-based deception and support inclusive design.
What carries the argument
Heuristic evaluation that checks whether deceptive patterns violate or conform to WCAG success criteria and related accessibility statutes.
If this is right
- Design teams can add checks for countdown timers, auto-play, and hidden information to standard WCAG audits.
- Existing accessibility legislation gains an additional use case in challenging manipulative interfaces.
- Targeted rather than blanket application of the guidelines is required, since most pattern types showed no statistical link.
- Inclusive design practices gain a concrete set of patterns to prioritize for removal.
Where Pith is reading between the lines
- Routine accessibility audits could double as deceptive-pattern screens, changing how compliance teams allocate review time.
- Regulators might cite WCAG violations when pursuing cases against sites that use these three patterns at scale.
- The same mapping approach could be tested against mobile accessibility guidelines or emerging standards for voice interfaces.
Load-bearing premise
The authors' heuristic evaluation correctly and exhaustively maps deceptive patterns onto specific WCAG success criteria without missing context-dependent violations or stretching the guidelines.
What would settle it
A controlled user study measuring whether people with visual impairments or low digital literacy actually experience reduced harm or altered behavior when the three flagged patterns are removed from live interfaces.
Figures
read the original abstract
Deceptive patterns, dark patterns, and manipulative user interfaces (UI) are a widely used design strategy that manipulates users to act against their own interests in pursuit of shareholder aims. These patterns may particularly affect people with less education, visual impairments, and older adults. Yet, access is a critical feature of the user experience (UX), development standards, and law. We considered whether and how the Web Content Accessibility Guidelines (WCAG) and related legislation, like the European Accessibility Act (EAA), could act as a tool against deceptive patterns. We used heuristic evaluation to analyze whether and how deceptive patterns violate or conform to these guidelines and legal statutes. Although statistical analysis revealed no significant differences by pattern type, we identified three patterns implicated by the WCAG guidelines: Countdown Timer, Auto-Play, and Hidden Information. We offer this approach as one tool in the fight against UI-based deception and in support of inclusive design.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper claims that WCAG guidelines and related legislation (e.g., EAA) can serve as a tool against deceptive patterns in UI design. Using heuristic evaluation, the authors analyze a set of patterns and, despite finding no statistically significant differences by pattern type, identify Countdown Timer, Auto-Play, and Hidden Information as the three patterns implicated by WCAG success criteria. They position this mapping as one approach to support inclusive design and combat manipulative interfaces, particularly for vulnerable users.
Significance. If the mapping is reproducible, the work offers a concrete bridge between accessibility standards and dark-pattern regulation, potentially enabling legal and standards-based interventions that benefit users with disabilities or lower digital literacy. It applies a standard HCI method (heuristic evaluation) to a timely problem and could inform future design guidelines or enforcement.
major comments (1)
- [Methods (heuristic evaluation)] Methods section on heuristic evaluation: no details are provided on the number of evaluators, inter-rater reliability, consensus process, exact WCAG success criteria applied to each pattern, or decision rules for declaring a pattern 'implicated.' These omissions are load-bearing because the central claim—that Countdown Timer, Auto-Play, and Hidden Information are the patterns implicated by WCAG—rests entirely on this unreported mapping; without them the result cannot be reproduced or verified.
minor comments (2)
- [Abstract] Abstract and results: the statement that 'statistical analysis revealed no significant differences' should specify the test, sample size, and effect-size details to allow readers to assess the claim that three patterns can still be highlighted.
- [Results] The paper would benefit from an explicit table or appendix listing each evaluated pattern against the specific WCAG criteria it was judged to violate or conform to.
Simulated Author's Rebuttal
We thank the referee for their constructive feedback and for identifying an important gap in the description of our methods. We agree that greater transparency is needed to support reproducibility of the heuristic evaluation and the resulting mapping to WCAG success criteria.
read point-by-point responses
-
Referee: [Methods (heuristic evaluation)] Methods section on heuristic evaluation: no details are provided on the number of evaluators, inter-rater reliability, consensus process, exact WCAG success criteria applied to each pattern, or decision rules for declaring a pattern 'implicated.' These omissions are load-bearing because the central claim—that Countdown Timer, Auto-Play, and Hidden Information are the patterns implicated by WCAG—rests entirely on this unreported mapping; without them the result cannot be reproduced or verified.
Authors: We agree that the current manuscript does not provide these methodological details. In the revised version we will expand the Methods section to describe the heuristic evaluation procedure in full, including the number of evaluators, inter-rater reliability, the consensus process, the specific WCAG success criteria applied to each deceptive pattern, and the decision rules used to determine whether a pattern is implicated. These additions will directly address the reproducibility concern and allow independent verification of the identification of Countdown Timer, Auto-Play, and Hidden Information. revision: yes
Circularity Check
No circularity: mapping relies on external WCAG criteria and legislation
full rationale
The paper applies heuristic evaluation to assess deceptive patterns against the externally defined WCAG success criteria and EAA legislation. No equations, fitted parameters, or self-citations are used to derive the identification of Countdown Timer, Auto-Play, and Hidden Information as implicated patterns. The statistical result of no significant differences by pattern type is independent of the interpretive mapping, which draws on external benchmarks rather than reducing to any author-defined input or prior self-citation. The derivation is therefore self-contained.
Axiom & Free-Parameter Ledger
axioms (2)
- domain assumption WCAG success criteria can be applied to detect manipulative design intent
- domain assumption Heuristic evaluation by the research team produces reliable mappings to legal statutes
Reference graph
Works this paper leans on
-
[1]
Sanju Ahuja, Johanna Gunawan, Nataliia Bielova, and Cristiana Teixeira Santos
-
[2]
InCompanion Publication of the 2025 ACM Designing Interactive Systems Conference (DIS ’25)
Towards Key Contributing Factors in Identifying Dark Pattern Autonomy Violations under the EU Digital Services Act. InCompanion Publication of the 2025 ACM Designing Interactive Systems Conference (DIS ’25). ACM, New York, NY, USA, 501–507. doi:10.1145/3715668.3736336
-
[3]
Sanju Ahuja and Jyoti Kumar. 2022. Conceptualizations of user autonomy within the normative evaluation of dark patterns.Ethics and Information Technology24, 4 (Dec. 2022). doi:10.1007/s10676-022-09672-9
-
[4]
Amaia Aizpurua, Simon Harper, and Markel Vigo. 2016. Exploring the relation- ship between web accessibility and user experience.International Journal of Human-Computer Studies91 (July 2016), 13–23. doi:10.1016/j.ijhcs.2016.03.008
-
[5]
Not Knowing What You Don’t Know
Jeffrey P. Bigham, Irene Lin, and Saiph Savage. 2017. The Effects of “Not Knowing What You Don’t Know” on Web Accessibility for Blind Web Users. InProceedings of the 19th International ACM SIGACCESS Conference on Com- puters and Accessibility (ASSETS ’17). ACM, New York, NY, USA, 101–109. doi:10.1145/3132525.3132533
-
[6]
Kerstin Bongard-Blanchy, Arianna Rossi, Salvador Rivas, Sophie Doublet, Vincent Koenig, and Gabriele Lenzini. 2021. ”I am Definitely Manipulated, Even When I am Aware of it. It’s Ridiculous!” - Dark Patterns from the End-User Perspective. InDesigning Interactive Systems Conference 2021 (DIS ’21). ACM, New York, NY, USA, 763–776. doi:10.1145/3461778.3462086
-
[7]
2025.European Accessibility Act: Risks of non-compliance and key authorities
Patrick Viktor Born and Merel van Aar. 2025.European Accessibility Act: Risks of non-compliance and key authorities. Technical Report. Field- fisher. https://www.fieldfisher.com/en/insights/understanding-the-european- accessibility-act-risks-of-non-compliance-and-key-authorities
work page 2025
-
[8]
Martin Brenncke. 2024. Regulating Dark Patterns.Notre Dame Journal of International & Comparative Law14 (2024). Issue 1. https://scholarship.law. nd.edu/ndjicl/vol14/iss1/5
work page 2024
-
[9]
2024.Screen Reader for Web Accessibility Tutorials
Wolfgang Helmut Bubich. 2024.Screen Reader for Web Accessibility Tutorials. An evaluation of interactive web forms. Technical Report. TU Wien. doi:10.34726/ HSS.2024.115700
-
[10]
Weichen Joe Chang, Katie Seaborn, and Andrew A. Adams. 2024. Theorizing deception: A scoping review of theory in research on dark patterns and deceptive design. InExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA ’24). Association for Computing Machinery, New York, NY, USA, Article No. 321. doi:10.1145/3613905.3650997
-
[11]
Clarke, Maryam Mehrnezhad, and Ehsan Toreini
James M. Clarke, Maryam Mehrnezhad, and Ehsan Toreini. 2024. Invisible, Unreadable, and Inaudible Cookie Notices: An Evaluation of Cookie Notices for Users with Visual Impairments.ACM Transactions on Accessible Computing17, 1 (March 2024), 1–39. doi:10.1145/3641281
-
[12]
Jacob Cohen. 1960. A Coefficient of Agreement for Nominal Scales.Educa- tional and Psychological Measurement20, 1 (April 1960), 37–46. doi:10.1177/ 001316446002000104
work page 1960
-
[13]
Federal Trade Commission. 2024. FTC Sends Refund Payments to Consumers Impacted by Epic Games’ Unlawful Billing Practices. https://www.ftc.gov/news- events/news/press-releases/2024/12/ftc-sends-refund-payments-consumers- impacted-epic-games-unlawful-billing-practices
work page 2024
-
[14]
World Wide Web Consortium et al. 1999. Web Content Accessibility Guidelines (WCAG) 1.0. https://www.w3.org/TR/WAI-WEBCONTENT/
work page 1999
-
[15]
World Wide Web Consortium et al. 2008. Web Content Accessibility Guidelines (WCAG) 2.0. https://www.w3.org/TR/WCAG20/
work page 2008
-
[16]
World Wide Web Consortium et al. n.d.. Web Content Accessibility Guidelines (WCAG) 3.0. https://www.w3.org/WAI/standards-guidelines/wcag/wcag3-intro/ Accessed version: Update on 24 November 2025
work page 2025
-
[17]
Gregory Conti and Edward Sobiesk. 2010. Malicious interface design: Exploiting the user. InProceedings of the 19th International Conference on World Wide Web (WWW ’10). ACM, New York, NY, USA, 271–280. doi:10.1145/1772690.1772719
- [18]
-
[19]
European Parliament, Council of the European Union. 2024. EU Digital Fairness Act (DFA). https://digitalfairnessact.com/
work page 2024
-
[20]
European Parliament, Council of the European Union. 2024. European Digital Services Act (DSA). https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32022R2065
work page 2024
-
[21]
2024.Social Report 2024 Volume I: Departmental Activities
Care Federal Ministry of Social Affairs, Health and Consumer Protection (BMS- GPK). 2024.Social Report 2024 Volume I: Departmental Activities. Technical Report. Federal Ministry of Social Affairs, Health, Care and Consumer Protection (BMSGPK). https://www.parlament.gv.at/dokument/BR/III-BR/849/imfname_ 1621807.pdf Accessed: 2025-12-02
work page 2024
-
[22]
2022.Bringing Dark Patterns to Light
Federal Trade Commission. 2022.Bringing Dark Patterns to Light. Technical Report. Federal Trade Commission. https://www.ftc.gov/reports/bringing-dark- patterns-light Accessed: 2025-08-24
work page 2022
-
[23]
Francisco Filipe, Ivan Miguel Pires, and António Jorge Gouveia. 2023. Why Web Accessibility Is Important for Your Institution.Procedia Computer Science219 (2023), 20–27. doi:10.1016/j.procs.2023.01.259
-
[24]
B. J. Fogg. 2002. Persuasive technology: Using computers to change what we think and do.Ubiquity2002, December (Dec. 2002), 2. doi:10.1145/764008.763957
-
[25]
Sara Gartland, Paul Flynn, Maria Ana Carneiro, Greg Holloway, Jose de Sousa Fi- alho, Joe Cullen, Emma Hamilton, Amy Harris, and Clare Cullen. 2022. The State of Web Accessibility for People with Cognitive Disabilities: A Rapid Evidence Assessment.Behavioral Sciences12, 2 (Jan. 2022), 26. doi:10.3390/bs12020026
-
[26]
Olga Gkotsopoulou. 2023.Accessibility Statements and Data Protection Notices: What Can Data Protection Law Learn from the Concept of Accessibility?Springer Nature Switzerland, Switzerland, 184–197. doi:10.1007/978-3-031-31971-6_14
-
[27]
Gray, Yubo Kou, Bryan Battles, Joseph Hoggatt, and Austin L
Colin M. Gray, Yubo Kou, Bryan Battles, Joseph Hoggatt, and Austin L. Toombs
-
[28]
Gray, Yubo Kou, Bryan Battles, Joseph Hoggatt, and Austin L
The Dark (Patterns) Side of UX Design. InProceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18). ACM, New York, NY, USA, 1–14. doi:10.1145/3173574.3174108
-
[29]
Gray, Cristiana Teixeira Santos, Nataliia Bielova, and Thomas Mildner
Colin M. Gray, Cristiana Teixeira Santos, Nataliia Bielova, and Thomas Mildner
-
[30]
Gray, Cristiana Teixeira Santos, Nataliia Bielova, and Thomas Mildner
An Ontology of Dark Patterns Knowledge: Foundations, Definitions, and a Pathway for Shared Knowledge-Building. InProceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24). ACM, New York, NY, USA, 1–22. doi:10.1145/3613904.3642436
-
[31]
KnownHost. 2024. Most Common Dark Patterns on E-Commerce Sites. https://www.knownhost.com/blog/most-common-dark-patterns-on-e- commerce-sites/. Pellkvist et al
work page 2024
-
[32]
2023.Towards Assessing Features of Dark Patterns in Cookie Consent Processes
Emre Kocyigit, Arianna Rossi, and Gabriele Lenzini. 2023.Towards Assessing Features of Dark Patterns in Cookie Consent Processes. Springer Nature Switzerland, New York, NY, USA, 165–183. doi:10.1007/978-3-031-31971-6_13
-
[33]
Emre Kocyigit, Arianna Rossi, and Gabriele Lenzini. 2024. A Systematic Approach for A Reliable Detection of Deceptive Design Patterns Through Measurable HCI Features. InProceedings of the 2024 European Symposium on Usable Security (EuroUSEC 2024). ACM, Manchester, UK, 290–308. doi:10.1145/3688459.3688475
-
[34]
Satwik Ram Kodandaram, Mohan Sunkara, Sampath Jayarathna, and Vikas Ashok. 2023. Detecting Deceptive Dark-Pattern Web Advertisements for Blind Screen-Reader Users.Journal of Imaging9, 11 (Nov. 2023), 239. doi:10.3390/ jimaging9110239
work page 2023
-
[35]
Aki Lempola, Timo Poranen, and Zheying Zhang. 2024. Comparing automatic accessibility testing tools. InAnnual Doctoral Symposium of Computer Science. CEUR-WS, Aachen, Germany, 43–53. https://ceur-ws.org/Vol-3776/paper05.pdf Accessed: 2026-01-20
work page 2024
-
[36]
Martinez, Maitraye Das, and James Fogarty
Aaleyah Lewis, Jesse J. Martinez, Maitraye Das, and James Fogarty. 2025. Inac- cessible and Deceptive: Examining Experiences of Deceptive Design with People Who Use Visual Accessibility Technology. InProceedings of the 2025 CHI Con- ference on Human Factors in Computing Systems (CHI ’25). ACM, New York, NY, USA, 1–18. doi:10.1145/3706598.3713784
-
[37]
Jamie Luguri and Lior Jacob Strahilevitz. 2021. Shining a Light on Dark Patterns. Journal of Legal Analysis13, 1 (Jan. 2021), 43–109. doi:10.1093/jla/laaa006
-
[38]
Delvani Antônio Mateus, Carlos Alberto Silva, Arthur F. B. A. De Oliveira, Heitor Costa, and André Pimenta Freire. 2021. A Systematic Mapping of Accessibility Problems Encountered on Websites and Mobile Apps: A Comparison Between Automated Tests, Manual Inspections and User Evaluations.Journal on Interactive Systems12, 1 (Nov. 2021), 145–171. doi:10.5753/...
-
[39]
Arunesh Mathur, Gunes Acar, Michael J. Friedman, Eli Lucherini, Jonathan Mayer, Marshini Chetty, and Arvind Narayanan. 2019. Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites.Proceedings of the ACM on Human-Computer Interaction3, CSCW (Nov. 2019), 1–32. doi:10.1145/3359183
-
[40]
Arunesh Mathur, Mihir Kshirsagar, and Jonathan Mayer. 2021. What Makes a Dark Pattern... Dark?: Design Attributes, Normative Considerations, and Measurement Methods. InProceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). ACM, New York, NY, USA, 1–18. doi:10.1145/3411764.3445610
-
[41]
Thomas Mildner, Daniel Fidel, Evropi Stefanidi, Paweł W. Woźniak, Rainer Malaka, and Jasmin Niess. 2025. A Comparative Study of How People With and Without ADHD Recognise and Avoid Dark Patterns on Social Media. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25). Association for Computing Machinery, New York, NY, USA...
-
[42]
Thomas Mildner, Merle Freye, Gian-Luca Savino, Philip R. Doyle, Benjamin R. Cowan, and Rainer Malaka. 2023. Defending Against the Dark Arts: Recognis- ing Dark Patterns in Social Media. InProceedings of the 2023 ACM Designing Interactive Systems Conference (DIS ’23). ACM, New York, NY, USA, 2362–2374. doi:10.1145/3563657.3595964
-
[43]
Arvind Narayanan, Arunesh Mathur, Marshini Chetty, and Mihir Kshirsagar
-
[44]
Dark Patterns: Past, Present, and Future: The evolution of tricky user interfaces.Queue18, 2 (April 2020), 67–92. doi:10.1145/3400899.3400901
-
[45]
Liming Nie, Yangyang Zhao, Chenglin Li, Xuqiong Luo, and Yang Liu. 2024. Shadows in the Interface: A Comprehensive Study on Dark Patterns.Proceedings of the ACM on Software Engineering1 (July 2024), 204–225. doi:10.1145/3643736
-
[46]
Jakob Nielsen and Rolf Molich. 1990. Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’90). ACM Press, New York, NY, USA, 249–256. doi:10.1145/97243.97281
-
[47]
Sam Niknejad, Thomas Mildner, Nima Zargham, Susanne Putze, and Rainer Malaka. 2024. Level Up or Game Over: Exploring How Dark Patterns Shape Mobile Games. InProceedings of the International Conference on Mobile and Ubiquitous Multimedia (MUM ’24). ACM, New York, NY, USA, 148–156. doi:10. 1145/3701571.3701604
-
[48]
Midas Nouwens, Ilaria Liccardi, Michael Veale, David Karger, and Lalana Ka- gal. 2020. Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence. InProceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). ACM, New York, NY, USA, 1–13. doi:10.1145/3313831.3376321
-
[49]
2011.AARP Foundation National Fraud Vic- tim Study
Karla Pak and Doug Shadel. 2011.AARP Foundation National Fraud Vic- tim Study. Technical Report. American Association of Retired Persons (AARP). https://www.aarp.org/content/dam/aarp/research/surveys_statistics/ econ/2011/2011-aarp-national-fraud-victim-study.pdf Accessed: 2025-08-24
work page 2011
-
[50]
European Parlaiment and the Council of the European Union. 2019. Directive (EU) 2019/882 of the European Parlaiment and of the Concil. https://eur-lex.europa. eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019L0882 Accessed: 2025-12-02
work page 2019
-
[51]
Jonathan Robert Pool. 2023. Accessibility Metatesting: Comparing Nine Testing Tools. In20th International Web for All Conference (W4A ’23). ACM, New York, NY, USA, 1–4. doi:10.1145/3587281.3587282
-
[52]
Christopher Power, André Freire, Helen Petrie, and David Swallow. 2012. Guide- lines are only half of the story: accessibility problems encountered by blind users on the web. InProceedings of the SIGCHI Conference on Human Fac- tors in Computing Systems (CHI ’12). ACM, New York, NY, USA, 433–442. doi:10.1145/2207676.2207736
-
[53]
Lorena Sánchez Chamorro, Romain Toebosch, and Carine Lallemand. 2024. Manipulative design and older adults: Co-creating magic machines to under- stand experiences of online manipulation. InProceedings of the 2024 ACM De- signing Interactive Systems Conference. ACM, New York, NY, USA, 668–684. doi:10.1145/3643834.3661513
-
[54]
Cristiana Santos, Nataliia Bielova, Sanju Ahuja, Christine Utz, Colin Gray, and Gilles Mertens. 2024. Which Online Platforms and Dark Patterns Should Be Regulated under Article 25 of the DSA?SSRN4899559 (2024), 39 pages. doi:10. 2139/ssrn.4899559
work page 2024
-
[55]
Juergen Sauer, Andreas Sonderegger, and Sven Schmutz. 2020. Usability, user experience and accessibility: towards an integrative model.Ergonomics63, 10 (June 2020), 1207–1220. doi:10.1080/00140139.2020.1774080
-
[56]
René Schäfer, Sarah Sahabi, Annabell Brocker, and Jan Borchers. 2024. Growing Up With Dark Patterns: How Children Perceive Malicious User Interface Designs. InProceedings of the 13th Nordic Conference on Human-Computer Interaction (Uppsala, Sweden)(NordiCHI ’24). Association for Computing Machinery, New York, NY, USA, Article 25, 17 pages. doi:10.1145/367...
-
[57]
Sven Schmutz, Andreas Sonderegger, and Juergen Sauer. 2017. Implementing Recommendations From Web Accessibility Guidelines: A Comparative Study of Nondisabled Users and Users With Visual Impairments.Human Factors: The Journal of the Human Factors and Ergonomics Society59, 6 (May 2017), 956–972. doi:10.1177/0018720817708397
-
[58]
Daniel Susser, Beate Roessler, and Helen Nissenbaum. 2019. Technology, auton- omy, and manipulation.Internet Policy Review8, 2 (2019), 1–22. doi:10.14763/ 2019.2.1410
work page 2019
-
[59]
2025.Dark Patterns and Addictive Designs
Xin Ye. 2025.Dark Patterns and Addictive Designs. Technical Report. Weizenbaum Institute. doi:10.34669/WI.WJDS/5.3.2
-
[60]
Weiwei Yi and Zihao Li. 2025. Mapping the scholarship of the regulation of dark patterns: A systematic review of concepts, regulatory paradigms, and solutions from law and HCI perspectives. 23 pages. doi:10.1016/j.clsr.2025.106225
-
[61]
Edyta Zduńska-Leseux and Alina Szypulewska-Porczyńska. 2024. Factors and expected impacts of implementing the European Accessibility Act: economic and social perspectives.Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska2024, 199 (2024), 661–670. doi:10.29119/1641-3466.2024.199.49
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.