Karen Renaud

University Of Strathclyde
Country flag
United Kingdom

Research Interests

Explore related searches

Contact this professor

LinkedIn
ORCID
Google Scholar
Academic Page

Articles (20)

<i>‘We’re not that Gullible!’</i> Revealing Dark Pattern Mental Models of 11-12 Year-Old Scottish Children

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 11-12 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.

Year:

2024

Collaborators (9)

Jacqui Taylor

Macquarie University

AUSTRALIA

Juraj Sikra

University Of Strathclyde

UNITED KINGDOM

Karl van der Schyff

Abertay University

UNITED KINGDOM

Ben Morrison

Northumbria University

UNITED KINGDOM

Partha Das Chowdhury

University of Bristol

UNITED KINGDOM

Rosalind Searle

professor of HRM and Organisational Psychology

University of Glasgow

UNITED KINGDOM

Cigdem Sengul

Reader

Brunel University London

UNITED KINGDOM

Stephen Flowerday

Professor

University of Tulsa

UNITED STATES

Sotirios Terzis

Lecturer

University Of Strathclyde

UNITED KINGDOM
Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI