Demo Data from VLDB 2026 / reviewers in the wild / expert
Bryan Clift
dblp:393/2062
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools › user interface design
dark patterns |
0.8 | 1 | 2024 | "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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | "We're Not That Gullible!" Revealing Dark Pattern Mental Models of 11-12-Year-Old Scottish ChildrenabstractDeceptive 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 |