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互动正义对银行业环境中的服务评估的影响
Jinghan Liu1, Guangyao Yang1, Yanqi Lyu1
1Department of Psychology, Renmin University of China, Beijing, China.
Acta psychologica
|October 28, 2025
概括
客户服务评估通过信息和人际正义得到改善. 人工智能代理可以匹配当正义很高时人类的表现,挑战算法厌恶.
科学领域:
- 商业 商业 商业 商业
- 心理学 心理学 心理学
- 人与计算机的交互
背景情况:
- 互动性正义,包括信息和人际关系方面,对于客户服务至关重要.
- 对算法厌恶,对人工智能的偏见,可能会影响客户对服务代理人的看法.
- 了解正义,代理类型 (人与人工智能) 和服务评估之间的相互作用对于混合服务系统至关重要.
研究的目的:
- 调查信息和人际正义对客户服务评估的影响.
- 检查服务代理类型 (人与人工智能) 如何调节正义对服务评估的影响.
- 确定人工智能代理人在客户服务中可以与人类代理人实现平等的条件.
主要方法:
- 针对921名中国非银行业成年人进行了五项基于场景的实验.
- 正义层次 (信息和人际关系) 和服务代理源 (人与人工智能) 被系统地操纵.
- 进行了小型元分析,以量化正义维度的效果大小.
主要成果:
- 信息正义 (Hedges' g = 0.62) 和人际正义 (Hedges' g = 1.16) 都显著提高了客户服务评估.
- 确定了算法厌恶的关键边界条件:在低正义的情况下,人类的评价低于AI.
- 在高正义条件下,人类和人工智能代理人之间的评估没有显著差异.
结论:
- 优化交互正义是缓解算法厌恶和实现人工智能与人类在服务中的平等的关键.
- 对人类代理商的更高期望导致他们在低正义条件下的评估较低.
- 结果为人工智能-人类混合服务系统的资源配置提供了可操作的见解,推进了交互性正义理论.
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