Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28565
Title: 'We’re not that Gullible!’ — Revealing Dark Pattern Mental Models of 11-12 Year-Old Scottish Children
Authors: Renaud, K
Sengul, C
Coopamootoo, K
Clift, B
Taylor, J
Springett, M
Morrison, B
Keywords: human and societal aspects of security and privacy;social aspects of security and privacy;children;dark patterns
Issue Date: 23-Apr-2024
Publisher: Association for Computing Machinery (ACM)
Citation: Renaud, K. et al. (2024) ''We’re not that Gullible!’ — Revealing Dark Pattern Mental Models of 11-12 Year-Old Scottish Children', ACM Transactions on Computer - Human Interaction, 31 (3), 33, pp. 1 - 41. doi: 10.1145/3660342
Abstract: Deceptive techniques known as dark patterns specifically target online users. Children are particularly vulnerable as they might lack the skills to recognise and resist these deceptive attempts. To be effective, interventions to forewarn and forearm should build on a comprehensive understanding of children’s existing mental models. To this end, we carried out a study with 11- to 12-year-old Scottish children to reveal their mental models of dark patterns. They were acutely aware of online deception, referring to deployers as being ‘up to no good.’ Yet, they were overly vigilant and construed worst-case outcomes, with even a benign warning triggering suspicion. We recommend that rather than focusing on specific instances of dark patterns in awareness raising, interventions should prioritise improving children’s understanding of the characteristics of, and the motivations behind, deceptive online techniques. By so doing, we can help them to develop a more robust defence against these deceptive practices.
Description: For the purpose of open access, the authors have applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.
URI: https://bura.brunel.ac.uk/handle/2438/28565
DOI: https://doi.org/10.1145/3660342
ISSN: 1073-0516
Other Identifiers: ORCiD: Karen Renaud https://orcid.org/0000-0002-7187-6531
ORCiD: Cigdem Sengul https://orcid.org/0000-0002-6011-9690
ORCiD: Kovila Coopamootoo https://orcid.org/0009-0009-8793-7122
ORCiD: Bryan Clift https://orcid.org/0000-0001-6493-6017
ORCiD: Jacqui Taylor https://orcid.org/0000-0002-2145-5077
ORCiD: Mark Springett https://orcid.org/0000-0003-3609-8241
ORCiD: Ben Morrison https://orcid.org/0000-0002-2738-6498
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Appears in Collections:Dept of Computer Science Research Papers

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