Design and Validation of a Relative Trust Model

M. Hoogendoorn, S.W. Jaffry, P.P. van Maanen, J. Treur

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

When considering intelligent agents that interact with humans, having an idea of the trust levels of the human, for example in other agents or services, can be of great importance. Most models of human trust that exist assume trust in one trustee is independent of trust in another trustee. The model introduced here addresses so-called relative trust. The idea of relative trust is that trust in a certain trustee not only depends on the experiences with that trustee, but also on trustees that are perceived competitors of that trustee. Such models for relative trust contain parameters to represent the specific dependency between trust for different trustees. In order to tailor the model towards a specific human, dedicated parameter estimation techniques are used. The validation shows that such a model for relative trust is able to predict human trust based behavior significantly better compared to a benchmark model. © 2013 Elsevier B.V. All rights reserved.
LanguageEnglish
Pages81-95
JournalKnowledge-Based Systems
Volume57
DOIs
Publication statusPublished - 2014

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Intelligent agents
Parameter estimation
Trust model
Competitors
Benchmark

Cite this

Hoogendoorn, M. ; Jaffry, S.W. ; van Maanen, P.P. ; Treur, J. / Design and Validation of a Relative Trust Model. In: Knowledge-Based Systems. 2014 ; Vol. 57. pp. 81-95.
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Design and Validation of a Relative Trust Model. / Hoogendoorn, M.; Jaffry, S.W.; van Maanen, P.P.; Treur, J.

In: Knowledge-Based Systems, Vol. 57, 2014, p. 81-95.

Research output: Contribution to JournalArticleAcademicpeer-review

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