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Paper Number

2151

Paper Type

Short

Description

Guiding individual decision-making in digital environments through persuasive system design (PSD) is a powerful tool. While some forms of PSD such as digital nudging are based on libertarian paternalism and mostly considered ethically acceptable, other forms have been criticized for violating user autonomy or disadvantaging users. Such “controversial PSD” has been labelled inconsistently in the literature, for example as dark patterns or (digital) sludging. Thus, Information Systems (IS) research currently lacks a common vocabulary and conceptual clarity which impedes realizing the potential of PSD in research and practice. To address this issue, we present first results of a systematic literature review on controversial PSD. By compiling an overview of prevalent concepts, this study identifies four focal points of the ethical debate on PSD (intentions, strategies, outcomes, process) and derives implications and a research agenda for IS research.

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Dec 12th, 12:00 AM

From Dark Patterns to Digital Sludging – Mapping the Ethical Debate on Controversial Persuasive System Design

Guiding individual decision-making in digital environments through persuasive system design (PSD) is a powerful tool. While some forms of PSD such as digital nudging are based on libertarian paternalism and mostly considered ethically acceptable, other forms have been criticized for violating user autonomy or disadvantaging users. Such “controversial PSD” has been labelled inconsistently in the literature, for example as dark patterns or (digital) sludging. Thus, Information Systems (IS) research currently lacks a common vocabulary and conceptual clarity which impedes realizing the potential of PSD in research and practice. To address this issue, we present first results of a systematic literature review on controversial PSD. By compiling an overview of prevalent concepts, this study identifies four focal points of the ethical debate on PSD (intentions, strategies, outcomes, process) and derives implications and a research agenda for IS research.

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