主题内容如何塑造LLM个性定制的说服力:语义定和主题刻板印象影响
Shuang Xu1,2, Zili Zhou1,2, Nan Zhao1,2
1State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Frontiers in psychiatry
|February 16, 2026
概括
大型语言模型 (LLM) 可以定制有说服力的信息,但效果不同. 将内容固定在产品特征上,并考虑主题刻板印象是成功人工智能驱动的说服力的关键.
科学领域:
- 人工智能的人工智能
- 计算社会科学 计算社会科学
- 心理学 心理学 心理学
背景情况:
- 大型语言模型 (LLM) 显示了个性化的说服性信息传递的潜力.
- 在不同背景下,LLM产生的个性定制说服的有效性是不一致的.
研究的目的:
- 调查产品/行动特征如何影响LLM产生的个性定制的说服力.
- 确定有效的基于LLM的个性化说服力的边界条件.
主要方法:
- 三项实验研究,共有618名参与者.
- 控制的产品/行动特征和语义变化.
- 检查了信息定,风格变化和主题刻板印象.
主要成果:
- 无法控制的特征导致不一致的个性匹配效应.
- 将信息固定在核心特征上,以风格的变化产生了强大的效果.
- 话题刻板印象影响了消息的有效性,而不依赖于接收者的个性.
结论:
- 通过语义定来稳定核心内容,增强了人格匹配效应.
- 话题刻板印象创造了基线偏好,从而改变了个性化的好处.
- 有效的LLM说服力需要内容定,风格调制和刻板印象评估.
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