感知公平对人与计算机互动信任的影响
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
概括
当报价不公平时,参与者更信任人工智能,但当报价公平时,他们对人类受托人表现出更大的风险厌恶. 与人与人之间的互动相比,公平感知对人类-人工智能互动的信任有很大影响.
科学领域:
- 心理学 心理学 心理学
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
背景情况:
- 公平是影响决策的核心社会互动原则.
- 人与计算机的互动是社会参与的一个日益增长的领域.
- 了解对AI的信任至关重要,因为人工智能 (AI) 变得越来越普遍.
研究的目的:
- 调查人与人之间的互动以及人与人工智能的互动中的公平感知.
- 在这两种情况下,分析公平性如何影响信任决策.
- 根据提案者和受托人的身份 (AI/人类) 进行信托投资利率和金额的比较,并提供公平性.
主要方法:
- 一个混合的实验设计与2 (提出者身份:AI/人类) × 2 (报价:公平/不公平) × 2 (受托人身份:AI/人类).
- 利用了最后通游戏和信任游戏的范式.
- 128名大学生参与了这项研究.
主要成果:
- 公平的报价导致信托投资的利率和金额高于不公平的报价.
- 当报价不公平时,参与者对人工智能提议者表现出比人类提议者更大的投资意愿.
- 在公平的条件下,参与者对人类受托人比人工智能受托人更不愿意承担风险.
结论:
- 人与计算机互动中的公平感知对信任决策的影响比人与人互动更大.
- 人工智能在公平和信任动态中的作用不同于人与人之间的互动.
- 调查结果强调了公平在建立对人工智能系统的信任方面的重要性.
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