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The Influence of Trust Score on Cooperative Behavior

Authors: Claudia-Lavinia Ignat; Quang-Vinh Dang 0001; Valerie L. Shalin;

The Influence of Trust Score on Cooperative Behavior

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.

Countries
France, United States
Keywords

FOS: Computer and information sciences, Computer Science - Human-Computer Interaction, cooperation, reputation, trust, Trust game, Cooperation, Reputation, Trust, Trust game, Trust, Social and Behavioral Sciences, Human-Computer Interaction (cs.HC), Cooperation, trust game, Computer Science - Computer Science and Game Theory, [INFO.INFO-GT] Computer Science [cs]/Computer Science and Game Theory [cs.GT], Psychology, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Reputation, Computer Science and Game Theory (cs.GT)

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    17
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
Green
bronze