Researching the foundations of privacy for future learning ecosystems.
The PS4TLA project investigates user-tailored privacy to support Total Learning Architecture (TLA) users’ privacy decisions. The user-tailored privacy methodology accounts for the high variability and context-dependency of people’s privacy decisions by creating a personalized, context-dependent model of users’ privacy preferences, and then tailors users’ privacy settings to these modeled preferences. A summit will be held to develop an industry standard for user-tailored privacy, followed by a report with recommendations for privacy support for the TLA, and a draft specification for privacy support for the TLA.
- TLA Privacy Specification (Versions 0.1/0.2/1.0) (Privacy Research)
- Standard-setting summit, report, and webinar
- Webinar on user-tailored privacy
- Research prototype release
PS4TLA: Privacy Support for the Total Learning Architecture Volume 5 - Policy Requirements
2019, Clemson University
Death To The Privacy Calculus?
2017, SSRN Journal, Social Science Research Network