Cigdem Sengul

Reader

Brunel University London
Country flagUnited Kingdom

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Cigdem Sengul is a Reader at Brunel University London, UK. Her research focuses on software engineering education, particularly in the context of conversational AI, as well as the implications of dark pattern mental models in children. Additionally, she has explored the applications of distributed ledgers for spectrum authorization in her recent work.

Articles (3)

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

Year:

2024

Year:

2020

Collaborators (3)

Jacqui Taylor

Macquarie University

AUSTRALIA
View details

Ben Morrison

Northumbria University

UNITED KINGDOM
View details

Karen Renaud

University Of Strathclyde

UNITED KINGDOM
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.