Accession Number:

AD1064608

Title:

Privacy Support for the Total Learning Architecture Volume 2: Modeling Factors

Descriptive Note:

[Technical Report, Final Report]

Corporate Author:

CLEMSON UNIV SC

Personal Author(s):

• Knijnenburg, Bart P.
• Cherry, David
• He, Yang
• Anaraky, Reza G.
• Namara, Moses
• Ash, Erin
• Johnson, A.

Report Date:

2018-07-31

Pagination or Media Count:

115

Abstract:

The purpose of this document is to make recommendations for implementing User-Tailored Privacy UTP into Total Learning Architecture TLA-based systems and to inform ADL and other TLA performers about the Modeling Factors that need to be considered in the context of this implementation. The set of recommendations put forth in this document will allow ADL and other TLA performers to build a user-tailored privacy decision-support system that supports users in making better privacy decisions.

Descriptors:

• internet
• information science
• information systems
• social networking services
• network science
• information processing
• multiagent systems
• data mining
• electronic commerce
• psychology
• machine learning
• social networks
• computational science
• cognitive systems engineering
• distance learning
• information exchange
• social media
• artificial intelligence
• computers
• cybersecurity

Subject Categories:

• Computer Systems

Distribution Statement:

[A, Approved For Public Release]