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arXiv 1902.02635cs.HCcs.CY
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儿童是否充分意识到在线隐私风险以及我们如何提高他们的应对能力?

Are Children Fully Aware of Online Privacy Risks and How Can We Improve Their Coping Ability?

Ge Wang, Jun Zhao, Nigel Shadbolt

摘要:

采用平板电脑或智能手机等数字技术的儿童年龄越来越小。然而,11岁以下的儿童通常被认为太小,无法理解在线隐私的概念。有限的研究集中在这个年龄组的儿童。在2018年夏天,我们对来自牛津郡小学的29名6-10岁的儿童进行了12项焦点小组研究。我们的研究表明,儿童对某些隐私风险有很好的理解,例如信息过度共享或避免在网上透露真实身份。他们可以使用一系列的描述来阐明风险,并描述他们的风险应对策略。然而,与此同时,我们发现儿童对其他风险的认识较少,例如在线跟踪或游戏促销。受Vygotsky的近端发展区(ZPD)的启发,这项研究确定了儿童对在线隐私的理解的关键知识差距,以及未来教育和技术发展的几个方向。我们呼吁关注提高儿童对在线建议和数据跟踪相关风险的认识和理解的需求,这些风险在儿童遇到的游戏和内容中变得越来越普遍。我们还呼吁注意儿童使用语言描述风险的情况,这可能是适当的,但不一定表明他们充分了解这些威胁。

英文摘要:

The age of children adopting digital technologies, such as tablets or smartphones, is increasingly young. However, children under 11 are often regarded as too young to comprehend the concept of online privacy. Limited research studies have focused on children of this age group. In the summer of 2018, we conducted 12 focus group studies with 29 children aged 6-10 from Oxfordshire primary schools. Our research has shown that children have a good understanding of certain privacy risks, such as information oversharing or avoiding revealing real identities online. They could use a range of descriptions to articulate the risks and describe their risk coping strategies. However, at the same time, we identified that children had less awareness concerning other risks, such as online tracking or game promotions. Inspired by Vygotsky's Zone of Proximal Development (ZPD), this study has identified critical knowledge gaps in children's understanding of online privacy, and several directions for future education and technology development. We call for attention to the needs of raising children's awareness and understanding of risks related to online recommendations and data tracking, which are becoming ever more prevalent in the games and content children encounter. We also call for attention to children's use of language to describe risks, which may be appropriate but not necessarily indicate a full understanding of the threats.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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