CRII: SaTC: Privacy-Enhancing User Interfaces Based on Individualized Mental Models

技术进步给人类和社会带来了许多好处，但也增加了隐私的风险。该项目将研究机制并构建工具，以帮助人们在不同的在线环境中做出隐私意识决策。研究结果将有助于人们更好地了解自己的隐私偏好和行为，并使他们能够更好地管理自己在互联网上的隐私。该项目将创建可以集成到移动应用程序市场和网络浏览器的设计。研究结果还将为互联网标准和政府有关互联网隐私的政策提供参考。此外，该项目将在本科和研究生阶段具有重要的教育和培训效益，包括与隐私相关的课程项目和模块。这些培训机会将有助学生更了解科技中潜在的私隐问题，并发展建立加强私隐机制的技术技能。这个项目将研究两个主要的想法：个性化的隐私心理模型和通用的隐私仪表板。人们通常对隐私有不同的心理模型，或者是情境相关的偏好。然而，有研究表明，人们？美国人的实际决定或行为经常偏离他们声明的隐私偏好。受学习科学的连续性理论的启发，该项目将研究当人们的个性化心理模型和决策选择在时间和空间上连续呈现给他们时（例如，在同一用户界面上），人们是否会做出保护隐私的决定。该项目还将探索通用隐私仪表板作为一种原则性方法，在两个示例领域（在线跟踪和Android应用程序权限）中提供有关个人心理隐私模型和行为的透明度。这种仪表板方法将使人们能够监视、反映，如果技术上可行，还可以直接更改他们的隐私决定。欲了解更多信息，请参阅该项目的网站：http://salt.ischool.syr.edu/privacymirror/

Technology advances have brought numerous benefits to people and society, but also heightened risks to privacy. This project will investigate mechanisms and build tools to help people make privacy-aware decisions in different online contexts. The outcomes will help people to better understand their own privacy preferences and behavior, and enable them to better manage their privacy on the Internet. The project will create designs that can be integrated into mobile app markets and web browsers. The results will also inform Internet standards and governmental policies on Internet privacy. In addition, this project will have important educational and training benefits at the undergraduate and graduate levels, including privacy-related class projects and modules. These training opportunities will help students to become more aware of potential privacy issues in technologies and develop technical skills in building privacy-enhancing mechanisms. This project will investigate two main ideas: individualized mental models of privacy, and a universal privacy dashboard. People often have differing mental models of privacy, or preferences that are context-dependent. However, it has been shown that people?s actual decisions or behaviors often divert from their stated privacy preferences. Motivated by the theory of contiguity from learning sciences, this project will examine whether people will make privacy-preserving decisions when their individualized mental models and their decision choices are presented to them contiguously in time and space (e.g., on the same user interface). This project will also explore the universal privacy dashboard as a principled way to provide transparency regarding individual's mental privacy models and behaviors in two example domains: online tracking and Android app permissions. This dashboard approach will enable people to monitor, reflect, and if technically feasible, directly change their privacy decisions.For further information see the project web site at: http://salt.ischool.syr.edu/privacymirror/