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Related Experiment Video

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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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The Influence of Perceived Fairness on Trust in Human-Computer Interaction.

Rui Chen1, Yating Jin1, Lincang Yu1

  • 1Faculty of Education, Yunnan Normal University, Kunming, Yunnan, China.

International Journal of Psychology : Journal International De Psychologie
|September 18, 2025
PubMed
Summary
This summary is machine-generated.

Participants trusted AI more when offers were unfair, but showed more risk aversion towards human trustees when offers were fair. Fairness perceptions significantly impact trust in human-AI interactions compared to human-human interactions.

Keywords:
artificial intelligencedecision‐making behavioursfairness perceptiontrust

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Area of Science:

  • Psychology
  • Human-Computer Interaction
  • Artificial Intelligence Ethics

Background:

  • Fairness is a core social interaction principle impacting decisions.
  • Human-computer interaction is a growing area of social engagement.
  • Understanding trust in AI is crucial as artificial intelligence (AI) becomes more prevalent.

Purpose of the Study:

  • To investigate fairness perceptions in human-human versus human-AI interactions.
  • To analyze how fairness influences trust decisions in both contexts.
  • To compare trust investment rates and amounts based on proposer and trustee identity (AI/human) and offer fairness.

Main Methods:

  • A mixed experimental design with 2 (proposer identity: AI/human) × 2 (offer: fair/unfair) × 2 (trustee identity: AI/human).
  • Utilized the Ultimatum Game and Trust Game paradigms.
  • 128 university students participated in the study.

Main Results:

  • Fair offers led to higher trust investment rates and amounts than unfair offers.
  • When offers were unfair, participants showed greater investment willingness towards AI proposers than human proposers.
  • Under fair conditions, participants were more risk-averse with human trustees than AI trustees.

Conclusions:

  • Fairness perceptions in human-computer interactions have a stronger impact on trust decisions than in human-human interactions.
  • AI's role in fairness and trust dynamics differs from human-human interactions.
  • Findings highlight the importance of fairness in building trust in AI systems.