Beyond Dark Patterns: A Concept-Based Framework for Ethical Software Design

October 03, 2023 Β· Declared Dead Β· πŸ› International Conference on Human Factors in Computing Systems

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Authors Evan Caragay, Katherine Xiong, Jonathan Zong, Daniel Jackson arXiv ID 2310.02432 Category cs.HC: Human-Computer Interaction Cross-listed cs.SE Citations 13 Venue International Conference on Human Factors in Computing Systems Last Checked 4 months ago
Abstract
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.
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