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

IF 4.8 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Karen Renaud, Cigdem Sengul, Kovila P. L. Coopamootoo, Bryan C Clift, Jacqui Taylor, Mark Springett, Ben Morrison
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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 11-12 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.
我们没那么好骗!"(We're not that Gullible!揭示 11-12 岁苏格兰儿童的黑暗模式心智模型
被称为 "黑暗模式 "的欺骗技术专门针对在线用户。儿童尤其容易受到伤害,因为他们可能缺乏识别和抵制这些欺骗企图的技能。为了有效地进行预警和预防,干预措施应建立在对儿童现有心理模式的全面了解之上。为此,我们对 11-12 岁的苏格兰儿童进行了一项研究,以揭示他们对黑暗模式的心理模型。他们敏锐地意识到了网络欺骗,将部署者称为 "不怀好意"。然而,他们过度警惕,并认为这是最糟糕的结果,即使是善意的警告也会引发怀疑。我们建议,在提高认识的过程中,与其把重点放在黑暗模式的具体事例上,还不如优先采取干预措施,让儿童更好地了解网络欺骗手段的特点及其背后的动机。通过这样做,我们可以帮助他们对这些欺骗行为建立起更强大的防御能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Computer-Human Interaction
ACM Transactions on Computer-Human Interaction 工程技术-计算机:控制论
CiteScore
8.50
自引率
5.40%
发文量
94
审稿时长
>12 weeks
期刊介绍: This ACM Transaction seeks to be the premier archival journal in the multidisciplinary field of human-computer interaction. Since its first issue in March 1994, it has presented work of the highest scientific quality that contributes to the practice in the present and future. The primary emphasis is on results of broad application, but the journal considers original work focused on specific domains, on special requirements, on ethical issues -- the full range of design, development, and use of interactive systems.
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