Beyond Dark Patterns: A Concept-Based Framework for Ethical Software Design
Author(s)
Caragay, Evan; Xiong, Katherine; Zong, Jonathan; Jackson, Daniel
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Current 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.
Description
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems May 11–16, 2024, Honolulu, HI, USA
Date issued
2024-05-11Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; MIT Morningside Academy for Design; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence LaboratoryPublisher
ACM
Citation
Caragay, Evan, Xiong, Katherine, Zong, Jonathan and Jackson, Daniel. 2024. "Beyond Dark Patterns: A Concept-Based Framework for Ethical Software Design."
Version: Final published version
ISBN
979-8-4007-0330-0
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