Strong identities are often infeasible which degrades trust. Well-designed incentives are needed to enable systems that fulfill the crucial social functions of trust, reputation, and recommendation. These problems are exacerbated in ubiquitous and pervasive computing: users constantly encounter others’ devices through the course of their day, each offering a different service or information flow complicated by the fact that it is trivial in ubiquitous computing systems to invent identities in large numbers. In multiple teams studying trust, reputation and recommendation we have theorized, implemented systems, and tested the theories and systems design in human-subject experiments.

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Trading Agent Design
Community Lab
Incentive-Centered Design for Spam
Market and Information System Design for Collaboration