CAREER: Sensible Privacy: Pragmatic Privacy Controls in an Era of Sensor-Enabled Computing

社交网络和智能手机等传感器丰富的设备在当今社会变得越来越普遍。人们可以与朋友和家人分享有关他们的位置、活动、健身和健康的信息，同时从利用这些信息的应用程序中受益。然而，用户已经发现管理他们的隐私是具有挑战性的，并且这样做所涉及的复杂性必然会增加。需要可用的技术，使人们能够有效地管理其环境中的移动设备和传感器所感知的私人信息的传播。该项目探索了“合理的”隐私控制和反馈机制，允许人们（或代表他们的自动化机制）以可用和直观的方式响应未预料到的模式和实际使用他们的信息。这种方法有两个优点：1)人们只需要关心有可能侵犯其隐私的数据子集和使用场景，从而减少他们必须监管访问的数据量；2)当人们知道他们的数据是如何被使用时，他们会做出更好的决定。合理的隐私机制不仅可以帮助人们控制自己的隐私，而且还可能因为这种增加的控制而增加他们对传感器支持的计算的参与，从而产生深远而积极的社会影响。该项目通过对代表性不足群体的研究经验以及在本科和研究生阶段开发隐私课程模块，将教育牢牢地融入到研究中。

Social networking and sensor-rich devices such as smartphones are becoming increasingly pervasive in today's society. People can share information concerning their location, activity, fitness, and health with their friends and family while benefiting from applications that leverage such information. Yet, users already find managing their privacy to be challenging, and the complexity involved in doing so is bound to increase. Usable techniques are required to enable people to effectively manage the dissemination of their private information as sensed by their mobile devices and sensors in their environment. This project explores `sensible' privacy controls and feedback mechanisms that allow people (or automated mechanisms acting on their behalf) to respond to unanticipated patterns and actual uses of their information in a way that is usable and intuitive. This approach has two advantages: 1) people need only care about the subset of data and usage scenarios that have the potential to violate their privacy, thus reducing the amount of data to which they must regulate access; and 2) people make better decisions concerning such access when these decisions are made in a context where they know how their data is being used. Sensible privacy mechanisms can have a profound and positive societal impact by not only helping people control their privacy, but also potentially increasing their participation in sensor-enabled computing because of this added control. This project firmly integrates education into the research through research experiences for underrepresented groups and the development of course modules on privacy at the undergraduate and graduate levels.