TWC: Small: Designing a Coordination Mechanism for Managing Privacy as a Common-Pool Resource

无处不在的计算技术，如“智能”门锁、恒温器、健身追踪器和视频监视器，可以帮助用户的生活更安全、更高效。这些设备会自动收集用户及其在家中活动的数据，然后通过服务提供商拥有的云服务器上的算法对这些数据进行组合和处理。这使有益的系统功能成为可能，这些功能无法从孤立的设备中实现。然而，聚合来自不同时间点、关于许多不同设备和用户的数据也可能产生关于个人和家庭的潜在侵入性见解和推断，当这些见解和推断被用于用户意想不到的目的时，可能会令人惊讶、不安或有害。该项目开发了一种协调机制，供用户共同管理作为公共池资源的派生数据。这将隐私问题从当前关于披露内容的预先决定转变为一种集体治理模式，该模式支持随着技术和社会规范的发展而更新披露决策。该项目将调查衍生数据的可接受使用规范，并开发和评估支持集体隐私管理决策的工具。社会规范研究包括半结构化访谈来识别规范，以及模拟规范违反和反应的验证实验。在分析社会生态公共池资源系统框架的基础上，该项目将对基于家庭自动化系统的隐私协调机制进行迭代设计和原型设计。该系统将在实际测试中进行安装和评估，以评估有效性和可用性，以及对意外事件进行定性分析。更多信息请访问项目网站：https://bitlab.cas.msu.edu/privacy/

Ubiquitous computing technologies such as "smart" door locks, thermostats, fitness trackers and video monitors can help make users' lives safer and more efficient. These devices automatically collect data about users and their activities within their homes, which are then combined and processed by algorithms on a cloud server owned by the service provider. This enables beneficial system functionality that would not be possible from the devices in isolation. However, aggregating data from different points in time and about many different devices and users can also produce potentially invasive insights and inferences about individuals and households that can be surprising, unsettling or harmful when used for purposes users do not expect. This project develops a coordination mechanism for users to jointly manage derived data as a common pool resource. This shifts privacy problems from the current up-front decisions about what to disclose toward a collective governance model that supports updating disclosure decisions as technology and social norms evolve.This project will investigate norms for acceptable uses of derived data, as well as develop and evaluate tools to support collective privacy management decisions. The social norm studies include semi-structured interviews to identify norms, and validation experiments involving simulated norms violation and responses. Building on frameworks for analyzing social-ecological common pool resource systems, the project will perform iterative design and prototyping of a privacy coordination mechanism based on home automation systems. The system will be installed and evaluated in a real-world test to evaluate effectiveness and usability, as well as qualitative analysis of unexpected events.More information is available on the project website at: https://bitlab.cas.msu.edu/privacy/