<div class="csl-bib-body">
<div class="csl-entry">Mildner, T., Fidel, D., Stefanidi, E., Woźniak, P. W., Malaka, R., & Niess, J. (2025). A Comparative Study of How People With and Without ADHD Recognise and Avoid Dark Patterns on Social Media. In <i>CHI ’25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems</i> (pp. 1–17). Association for Computing Machinery (ACM). https://doi.org/10.1145/3706598.3713776</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219566
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dc.description.abstract
Dark patterns are deceptive strategies that recent work in human-computer interaction (HCI) has captured throughout digital domains, including social networking sites (SNSs). While research has identified difficulties among people to recognise dark patterns effectively, few studies consider vulnerable populations and their experience in this regard, including people with attention deficit hyperactivity disorder (ADHD), who may be especially susceptible to attention-grabbing tricks. Based on an interactive web study with 135 participants, we investigate SNS users' ability to recognise and avoid dark patterns by comparing results from participants with and without ADHD. In line with prior work, we noticed overall low recognition of dark patterns with no significant differences between the two groups. Yet, ADHD individuals were able to avoid specific dark patterns more often. Our results advance previous work by understanding dark patterns in a realistic environment and offer insights into their effect on vulnerable populations.
en
dc.language.iso
en
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dc.subject
ADHD
en
dc.subject
dark patterns
en
dc.subject
deceptive design
en
dc.subject
quantitative study
en
dc.subject
SNS
en
dc.subject
social media
en
dc.subject
user study
en
dc.subject
vulnerable populations
en
dc.title
A Comparative Study of How People With and Without ADHD Recognise and Avoid Dark Patterns on Social Media
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
9798400713941
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dc.description.startpage
1
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dc.description.endpage
17
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
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tuw.peerreviewed
true
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tuw.relation.publisher
Association for Computing Machinery (ACM)
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tuw.relation.publisherplace
New York, NY, USA
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E193-05 - Forschungsbereich Human Computer Interaction
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tuw.publisher.doi
10.1145/3706598.3713776
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dc.description.numberOfPages
17
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tuw.author.orcid
0000-0002-1712-0741
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tuw.author.orcid
0009-0007-4109-5826
-
tuw.author.orcid
0000-0001-5547-6426
-
tuw.author.orcid
0000-0003-3670-1813
-
tuw.author.orcid
0000-0001-6463-4828
-
tuw.author.orcid
0000-0003-3529-0653
-
tuw.event.name
2025 ACM CHI conference on human factors in computing
en
dc.description.sponsorshipexternal
This work was partially supported by the Leibniz ScienceCampus Bremen Digital Public Health, which is jointly funded by the Leibniz Association (W72/2022), the Federal State of Bremen, and the Leibniz Institute for Prevention Research and Epidemiology – BIPS. This research was also partly funded by the German Research Foundation (DFG) under Germany’s Excellence Strategy (EXC 2077, University of Bremen)
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tuw.event.startdate
26-04-2025
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tuw.event.enddate
01-05-2025
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Yokohama
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tuw.event.country
JP
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tuw.event.presenter
Mildner, Thomas
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.grantfulltext
none
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item.openairetype
conference paper
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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item.fulltext
no Fulltext
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crisitem.author.dept
E193-05 - Forschungsbereich Human Computer Interaction
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crisitem.author.dept
E193-05 - Forschungsbereich Human Computer Interaction
-
crisitem.author.dept
University of Oslo
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crisitem.author.orcid
0000-0002-1712-0741
-
crisitem.author.orcid
0009-0007-4109-5826
-
crisitem.author.orcid
0000-0001-5547-6426
-
crisitem.author.orcid
0000-0003-3670-1813
-
crisitem.author.orcid
0000-0001-6463-4828
-
crisitem.author.orcid
0000-0003-3529-0653
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology