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Investigating Visual Countermeasures Against Dark Patterns in User Interfaces

dc.contributor.authorSchäfer, René
dc.contributor.authorMiles, Paul
dc.contributor.authorPreuschoff
dc.contributor.authorJan, Borchers
dc.contributor.editorStolze, Markus
dc.contributor.editorLoch, Frieder
dc.contributor.editorBaldauf, Matthias
dc.contributor.editorAlt, Florian
dc.contributor.editorSchneegass, Christina
dc.contributor.editorKosch, Thomas
dc.contributor.editorHirzle, Teresa
dc.contributor.editorSadeghian, Shadan
dc.contributor.editorDraxler, Fiona
dc.contributor.editorBektas, Kenan
dc.contributor.editorLohan, Katrin
dc.contributor.editorKnierim, Pascal
dc.date.accessioned2023-08-24T05:29:11Z
dc.date.available2023-08-24T05:29:11Z
dc.date.issued2023
dc.description.abstractDark patterns are malicious interface design strategies on the web and in apps that trick users into decisions that go against their best interests, costing them money, time, or private data. While there are approaches to classifying these patterns and investigating user awareness, there has been little work looking into visual countermeasures against dark patterns. In this work, we used an online survey to investigate concepts for six visual countermeasures against three common dark patterns: Confirmshaming, Low-stock Message, and Visual Interference. Our results indicate two opposing forces for users: On the one hand, users dislike systems actively making silent changes to their screen, preferring to be informed about the presence of dark patterns. On the other hand, they do not want applications to become visually cluttered, as this may impact their productivity. We found that different applications of dark patterns require different countermeasures, and that individual preferences vary strongly.en
dc.description.uri"https://dl.acm.org/doi/"&R15en
dc.identifier.doi10.1145/3603555.3603563
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/41980
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2023 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectdeceptive patterns
dc.subject dark patterns
dc.subject visual countermeasures
dc.subject online survey
dc.titleInvestigating Visual Countermeasures Against Dark Patterns in User Interfacesen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.citation.startPage161-172
gi.conference.date3.-6. September 2023
gi.conference.locationRapperswil
gi.conference.sessiontitleMCI-SE04: Security, Safety & Ethics

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