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Bryan Clift

dblp:393/2062 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0001-6493-6017ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 77% Usability and user experience research · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
User interface design and tools › user interface design
dark patterns
0.812024
"We're Not That Gullible!" Revealing Dark Pattern Mental Models of 11-12-Year-Old Scottish Children · ACM Trans. Comput. Hum. Interact. 2024

Methods — techniques the papers use, named apart from their topics

user study · 0.8interviews · 0.8
YearPublicationVenuePosition
2024 "We're Not That Gullible!" Revealing Dark Pattern Mental Models of 11-12-Year-Old Scottish Children
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.
Karen Renaud, Cigdem Sengul, Kovila P. L. Coopamootoo, Bryan Clift, Jacqui Taylor, Mark V. Springett, Benjamin Alan Morrison
ACM Trans. Comput. Hum. Interact.4