TL;DR
This study empirically investigates how trust scores influence cooperative behavior in a trust game, showing that trust scores and IDs similarly enhance cooperation and can predict participant actions, with implications for scalable trust assessment.
Contribution
It provides the first empirical analysis of trust score effects on participant behavior, demonstrating their predictive power and scalability in collaborative systems.
Findings
Trust scores and IDs similarly improve cooperation.
Models based on trust scores predict sender behavior.
Trust scores have some predictive ability for recipient trustworthiness.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
