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Designing Privacy Indicators for Smartphone App Markets: A New Perspective on the Nature of Privacy Risks of Apps

机译:设计智能手机应用市场的隐私指标:应用隐私风险本质的新视角

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Smartphone apps became indispensable for many individuals. They offer utility in various ways such as personalization or context-sensitivity. Often, utility is enabled by smartphone platforms' capability to provide apps with automated access to a multiplicity of private resources such as the users' current location, contacts, or device sensors. While access to these resources is privacy-affecting by nature, users are often not informed appropriately about the privacy-related properties of individual apps before installing them. Existing privacy indicators in app markets have been shown to be ineffective regarding privacy risk communication. Based on warning design theory, we present and experimentally test a new design for privacy indicators for apps in app markets. The ultimate goal is to effectively communicate privacy properties of individual apps and consequently help users in making informed decisions regarding app selection. Our results suggest that the new design promotes safe behavior and successfully communicates privacy properties of apps.
机译:对于许多人来说,智能手机应用程序已成为必不可少的东西。它们以各种方式(例如个性化或上下文敏感)提供实用程序。通常,通过智能手机平台的功能来启用实用程序,以向应用程序提供对多种私有资源(例如用户的当前位置,联系人或设备传感器)的自动访问。尽管对这些资源的访问本质上会影响隐私,但是在安装它们之前,通常不会向用户适当告知各个应用程序的隐私相关属性。应用市场中现有的隐私指标已被证明在隐私风险沟通方面无效。基于警告设计理论,我们提出并实验性测试了应用市场中应用的隐私指示器的新设计。最终目标是有效地传达各个应用程序的隐私属性,从而帮助用户做出有关应用程序选择的明智决定。我们的结果表明,新设计可促进安全行为并成功传达应用程序的隐私属性。

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