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The Influence of Trust Score on Cooperative Behavior

Published:13 September 2019Publication History
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Abstract

The assessment of trust between users is essential for collaboration. General reputation and ID mechanisms may support users’ trust assessment. However, these mechanisms lack sensitivity to pairwise interactions and specific experience such as betrayal over time. Moreover, they place an interpretation burden that does not scale to dynamic, large-scale systems. While several pairwise trust mechanisms have been proposed, no empirical research examines trust score influence on participant behavior. We study the influence of showing a partner trust score and/or ID on participants’ behavior in a small-group collaborative laboratory experiment based on the trust game. We show that trust score availability has the same effect as an ID to improve cooperation as measured by sending behavior and receiver response. Excellent models based on the trust score predict sender behavior and document participant sensitivity to the provision of partner information. Models based on the trust score for recipient behavior have some predictive ability regarding trustworthiness, but suggest the need for more complex functions relating experience to participant response. We conclude that the parameters of a trust score, including pairwise interactions and betrayal, influence the different roles of participants in the trust game differently, but complement traditional ID and have the advantage of scalability.

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          • Published in

            cover image ACM Transactions on Internet Technology
            ACM Transactions on Internet Technology  Volume 19, Issue 4
            Special Section on Trust and AI and Regular Papers
            November 2019
            201 pages
            ISSN:1533-5399
            EISSN:1557-6051
            DOI:10.1145/3362102
            • Editor:
            • Ling Liu
            Issue’s Table of Contents

            Copyright © 2019 ACM

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 13 September 2019
            • Accepted: 1 April 2019
            • Revised: 1 March 2019
            • Received: 1 November 2018
            Published in toit Volume 19, Issue 4

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