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dc.contributor.authorCaragay, Evan
dc.contributor.authorXiong, Katherine
dc.contributor.authorZong, Jonathan
dc.contributor.authorJackson, Daniel
dc.date.accessioned2024-06-05T15:26:18Z
dc.date.available2024-06-05T15:26:18Z
dc.date.issued2024-05-11
dc.identifier.isbn979-8-4007-0330-0
dc.identifier.urihttps://hdl.handle.net/1721.1/155193
dc.descriptionCHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems May 11–16, 2024, Honolulu, HI, USAen_US
dc.description.abstractCurrent dark pattern research tells designers what not to do, but how do they know what to do? In contrast to prior approaches that focus on patterns to avoid and their underlying principles, we present a framework grounded in positive expected behavior against which deviations can be judged. To articulate this expected behavior, we use concepts—abstract units of functionality that compose applications. We define a design as dark when its concepts violate users’ expectations, and benefit the application provider at the user’s expense. Though user expectations can differ, users tend to develop common expectations as they encounter the same concepts across multiple applications, which we can record in a concept catalog as standard concepts. We evaluate our framework and concept catalog through three studies, illustrating their ability to describe existing dark patterns, evaluate nuanced designs, and document common application functionality.en_US
dc.publisherACMen_US
dc.relation.isversionof10.1145/3613904.3642781en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleBeyond Dark Patterns: A Concept-Based Framework for Ethical Software Designen_US
dc.typeArticleen_US
dc.identifier.citationCaragay, Evan, Xiong, Katherine, Zong, Jonathan and Jackson, Daniel. 2024. "Beyond Dark Patterns: A Concept-Based Framework for Ethical Software Design."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMIT Morningside Academy for Design
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-06-01T07:54:16Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2024-06-01T07:54:17Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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