Chapter 3: Privacy and Trust in Agent-Supported Distributed Learning1

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Larry Korba
National Research Council Canada, Canada

Yuefei Xu
National Research Council Canada, Canada

Andrew S. Patrick
National Research Council Canada, Canada

George Yee
National Research Council Canada, Canada

Ronggong Song
National Research Council Canada, Canada

Khalil El-Khatib
National Research Council Canada, Canada

Abstract

The objective of this chapter is to explore the challenges, issues, and solutions associated with satisfying requirements for privacy and trust in agent-supported distributed learning (ADL). Accordingly, the first section will present the background, context, and challenges. The second section will delve into the requirements for privacy and trust as seen in legislation and standards. The third section will look at available technologies for satisfying these requirements. The fourth section will discuss an often- ignored area—that of building trustworthy user interfaces for distributedlearning systems. Finally, the chapter will end with conclusions and suggestions for further research.

[1]NRC Document Number: NRC 46505



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Designing Distributed Environments with Intelligent Software Agents
Designing Distributed Learning Environments with Intelligent Software Agents
ISBN: 1591405009
EAN: 2147483647
Year: 2003
Pages: 121

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