https://arxiv.org/abs/2104.12653 close this message arXiv smileybones icon Global Survey In just 3 minutes help us understand how you see arXiv. TAKE SURVEY Skip to main content Cornell University We gratefully acknowledge support from the Simons Foundation and member institutions. arxiv logo > cs > arXiv:2104.12653 [ ] Help | Advanced Search [All fields ] Search arXiv logo Cornell University Logo [ ] GO quick links * Login * Help Pages * About Computer Science > Human-Computer Interaction arXiv:2104.12653 (cs) [Submitted on 26 Apr 2021 (v1), last revised 1 Jun 2021 (this version, v2)] Title:I am Definitely Manipulated, Even When I am Aware of it. It s Ridiculous! -- Dark Patterns from the End-User Perspective Authors:Kerstin Bongard-Blanchy, Arianna Rossi, Salvador Rivas, Sophie Doublet, Vincent Koenig, Gabriele Lenzini Download PDF Abstract: Online services pervasively employ manipulative designs (i.e., dark patterns) to influence users to purchase goods and subscriptions, spend more time on-site, or mindlessly accept the harvesting of their personal data. To protect users from the lure of such designs, we asked: are users aware of the presence of dark patterns? If so, are they able to resist them? By surveying 406 individuals, we found that they are generally aware of the influence that manipulative designs can exert on their online behaviour. However, being aware does not equip users with the ability to oppose such influence. We further find that respondents, especially younger ones, often recognise the "darkness" of certain designs, but remain unsure of the actual harm they may suffer. Finally, we discuss a set of interventions (e.g., bright patterns, design frictions, training games, applications to expedite legal enforcement) in the light of our findings. Comments: ACM DIS Conference on Designing interactive systems, June 28 - July 2, 2021, online. ACM, New York, NY, USA Subjects: Human-Computer Interaction (cs.HC) Cite as: arXiv:2104.12653 [cs.HC] (or arXiv:2104.12653v2 [cs.HC] for this version) https://doi.org/10.48550/arXiv.2104.12653 Focus to learn more arXiv-issued DOI via DataCite Related https://doi.org/10.1145/3461778.3462086 DOI: Focus to learn more DOI(s) linking to related resources Submission history From: Kerstin Bongard-Blanchy Dr [view email] [v1] Mon, 26 Apr 2021 15:30:22 UTC (13,970 KB) [v2] Tue, 1 Jun 2021 06:31:05 UTC (28,158 KB) Full-text links: Download: * PDF * Other formats [by-4] Current browse context: cs.HC < prev | next > new | recent | 2104 Change to browse by: cs References & Citations * NASA ADS * Google Scholar * Semantic Scholar DBLP - CS Bibliography listing | bibtex Gabriele Lenzini a export bibtex citation Loading... Bibtex formatted citation x [loading... ] Data provided by: Bookmark BibSonomy logo Mendeley logo Reddit logo ScienceWISE logo (*) Bibliographic Tools Bibliographic and Citation Tools [ ] Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) [ ] Litmaps Toggle Litmaps (What is Litmaps?) [ ] scite.ai Toggle scite Smart Citations (What are Smart Citations?) ( ) Code, Data, Media Code, Data and Media Associated with this Article [ ] Links to Code Toggle Papers with Code (What is Papers with Code?) [ ] ScienceCast Toggle ScienceCast (What is ScienceCast?) ( ) Demos Demos [ ] Replicate Toggle Replicate (What is Replicate?) [ ] Spaces Toggle Hugging Face Spaces (What is Spaces?) ( ) Related Papers Recommenders and Search Tools [ ] Connected Papers Toggle Connected Papers (What is Connected Papers?) [ ] Core recommender toggle CORE Recommender (What is CORE?) ( ) About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs and how to get involved. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?) * About * Help * Click here to contact arXiv Contact * Click here to subscribe Subscribe * Copyright * Privacy Policy * Web Accessibility Assistance * arXiv Operational Status Get status notifications via email or slack