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Related Experiment Video

Updated: Aug 2, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

How and why humans trust: A meta-analysis and elaborated model.

P A Hancock¹, Theresa T Kessler², Alexandra D Kaplan²

¹Department of Psychology and Institute for Simulation and Training, University of Central Florida, Orlando, FL, United States.

Frontiers in Psychology

|April 13, 2023

Summary

This meta-analysis reveals key factors influencing human trust, finding trustee reputation and relationship closeness most predictive. It proposes a new trust theory applicable to human-AI interactions.

Keywords:

dispositional trust meta-analysis trust trustees trustors

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Area of Science:

Social Psychology
Behavioral Economics
Human-Computer Interaction

Background:

Trust is fundamental to social interactions, influencing individual and international relations.
Understanding trust dynamics is crucial for navigating social and professional environments.
Existing research on trust factors is vast but lacks comprehensive synthesis.

Purpose of the Study:

To conduct the most comprehensive meta-analysis of experimental findings on human-to-human trust.
To quantitatively evaluate factors influencing interpersonal trust, propensity to trust, and general trust.
To develop an overarching descriptive theory of trust applicable to both human and non-human entities.

Main Methods:

Systematic literature search identifying over 2,000 relevant studies.
Inclusion of 338 studies yielding 2,185 effect sizes for analysis.
Analysis of dependent variables including trustworthiness, propensity to trust, general trust, and workplace trust.

Main Results:

Numerous trustor, trustee, and contextual factors significantly impact trust.
Trustee reputation and shared closeness emerged as the strongest predictors of trustworthiness.
Contextual factors were identified as a critical, often overlooked, dimension of trust.

Conclusions:

A comprehensive understanding of trust requires considering individual, relational, and contextual elements.
The findings support an elaborated trust theory with implications for human-AI interaction.
Future research should explore the temporal dynamics of trust development, maintenance, and erosion.