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DC Field | Value | Language |
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dc.contributor.author | Renaud, K | - |
dc.contributor.author | Sengul, C | - |
dc.contributor.author | Coopamootoo, K | - |
dc.contributor.author | Clift, B | - |
dc.contributor.author | Taylor, J | - |
dc.contributor.author | Springett, M | - |
dc.contributor.author | Morrison, B | - |
dc.date.accessioned | 2024-03-18T10:55:14Z | - |
dc.date.available | 2024-03-18T10:55:14Z | - |
dc.date.issued | 2024-04-23 | - |
dc.identifier | ORCiD: Karen Renaud https://orcid.org/0000-0002-7187-6531 | - |
dc.identifier | ORCiD: Cigdem Sengul https://orcid.org/0000-0002-6011-9690 | - |
dc.identifier | ORCiD: Kovila Coopamootoo https://orcid.org/0009-0009-8793-7122 | - |
dc.identifier | ORCiD: Bryan Clift https://orcid.org/0000-0001-6493-6017 | - |
dc.identifier | ORCiD: Jacqui Taylor https://orcid.org/0000-0002-2145-5077 | - |
dc.identifier | ORCiD: Mark Springett https://orcid.org/0000-0003-3609-8241 | - |
dc.identifier | ORCiD: Ben Morrison https://orcid.org/0000-0002-2738-6498 | - |
dc.identifier | 33 | - |
dc.identifier.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 | en_US |
dc.identifier.issn | 1073-0516 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/28565 | - |
dc.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. | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | SPRITE (EP/S035869/1); REPHRAIN (EP/W032473/1) | en_US |
dc.format.extent | 1 - 41 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Association for Computing Machinery (ACM) | en_US |
dc.rights | Copyright © 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/legalcode.en ). | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | human and societal aspects of security and privacy | en_US |
dc.subject | social aspects of security and privacy | en_US |
dc.subject | children | - |
dc.subject | dark patterns | - |
dc.title | 'We’re not that Gullible!’ — Revealing Dark Pattern Mental Models of 11-12 Year-Old Scottish Children | en_US |
dc.type | Article | en_US |
dc.date.dateAccepted | 2024-02-11 | - |
dc.identifier.doi | https://doi.org/10.1145/3660342 | - |
dc.relation.isPartOf | ACM Transactions on Computer - Human Interaction | - |
pubs.issue | 3 | - |
pubs.publication-status | Published | - |
pubs.volume | 31 | - |
dc.identifier.eissn | 1557-7325 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
dc.rights.holder | the owner/author(s) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullTextCS.pdf | Copyright © 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/legalcode.en ). | 6.77 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License