设计一个支持社交隐私决策过程的移动应用程序

Zaina Aljallad, Wentao Guo, Chhaya Chouhan, Christy M. LaPerriere, Jessica Kropczynski, Pamela Wisnewski, H. Lipford
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引用次数: 13

摘要

人们经常依靠他们的朋友、家人和其他所爱的人来帮助他们做出关于数字隐私和安全的决定。然而,这些社会进程很少得到技术的支持。为了解决这一问题,我们开发了一款基于android的移动应用(“应用”)原型,它可以帮助个人与他们认识的人合作,从而对他们的应用隐私权限做出明智的决定。为了评估我们的设计,我们对10名大学生进行了访谈研究,同时他们与我们的原型进行了互动。总的来说,参与者对使用社会协作作为更好的隐私决策手段的新想法反应积极。然而,我们也发现用户不太愿意帮助别人,可能只愿意参与直接影响自己的对话。我们讨论了在支持隐私决策的系统设计中嵌入社会过程的潜力,以及这种方法的一些挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a Mobile Application to Support Social Processes for Privacy Decisions
– People often rely on their friends, family, and other loved ones to help them make decisions about digital privacy and security. However, these social processes are rarely supported by technology. To address this gap, we developed an Android-based mobile application (“app”) prototype which helps individuals collaborate with people they know to make informed decisions about their app privacy permissions. To evaluate our design, we conducted an interview study with 10 college students while they interacted with our prototype. Overall, participants responded positively to the novel idea of using social collaboration as a means for making better privacy decisions. Yet, we also found that users are less inclined to help others and may be only willing to partake in conversations that directly affect themselves. We discuss the potential for embedding social processes in the design of systems that support privacy decision-making, as well as some of the challenges of this approach.
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