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Towards Understanding the Dark Patterns That Steal Our Attention

Published: 28 April 2022 Publication History

Abstract

Contemporary digital services often adopt mechanisms, e.g., recommendations and infinite scrolling, that exploit users’ psychological vulnerabilities to maximize time spent and daily visits. While these attention-capture dark patterns might contribute to technology overuse and problematic behaviors, they are relatively underexplored in the literature. In this paper, we first provide a definition of what are attention-capture dark patterns based on a review of recent works on digital wellbeing and dark patterns. Then, we describe a set 5 of attention-capture dark patterns extracted from a 1-week-long auto-ethnography during which we self-monitored our mobile and web interactions with Facebook and YouTube. Finally, we report on an initial study (N = 7) that explores whether and how a widespread mechanism, i.e., social investment, influence usage and users’ perception of the Facebook website. We discuss the implications that our work may have on the design of technologies that better align with users’ digital wellbeing.

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References

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cover image ACM Conferences
CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
April 2022
3066 pages
ISBN:9781450391566
DOI:10.1145/3491101
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 April 2022

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  1. dark patterns
  2. digital wellbeing
  3. technology overuse

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April 29 - May 5, 2022
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