建议来源和归因类型对犯错后的代理平台惩罚欲的影响
The Impact of Advice Source and Attribution Type of Errors on the Willingness to Punish Agent Platforms
冯利 1渠亚明 1杜冰 1王鑫文 1杜秀芳1
作者信息
- 1. 济南大学教育与心理科学学院,济南 250022
- 折叠
摘要
随着计算机技术的发展,代理平台逐渐使用AI作为建议者为消费者提供建议.然而,与人类建议者一样,AI在服务过程中也可能发生服务错误.在消费、投资和医疗情景中,采用2×3的被试间设计探讨建议来源和归因类型对消费者经历错误建议后对代理平台惩罚欲的影响.结果发现,建议来源对代理平台惩罚欲没有显著影响;归因类型显著影响惩罚欲,具体表现为平台意图归因增加了惩罚欲;平台意图归因对代理平台的惩罚欲的影响通过愤怒起作用.
Abstract
With the development of computer technology,the agency platforms are increasingly using AI as advisors to provide advice to consumers.However,like human advisors,AI may also make errors during service.In consumption,investment,and medical scenarios,a 2 × 3 between-subjects design was used to explore the impact of the advice source and attribution type on consumers'willingness to punish the agency platform after experiencing incorrect advice.The results showed that the effect of advice source on the willingness to punish the agent platform was not significant;attribution type significantly affected the willingness to punish,which manifested as an increase in punish willingness when attributing errors to the platform's intention.The impact of error intention attribution of platforms on the punitive willingness was mediated by anger.
关键词
建议来源/归因类型/愤怒/惩罚欲/AIKey words
advice source/attribution type/anger/punitive willingness to punish/AI引用本文复制引用
基金项目
国家社会科学基金一般项目(22BGL300)
出版年
2024
NETL
NSTL
万方数据