当机器人讲话时:研究人工智能 (AI) 聊天机器人的信任基础
Fanny Lalot1, Anna-Marie Bertram1
1Faculty of Psychology, University of Basel.
Journal of experimental psychology. General
|December 5, 2024
概括
对人工智能 (AI) 模型的信任与人际信任相似,可信度和信任倾向是关键因素. 个性化通过人形化增加了人工智能使用意图,而不是直接信任.
科学领域:
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
- 技术心理学技术的心理学.
背景情况:
- 对人工智能 (AI) 的信任对于人类与AI的互动至关重要.
- 关于人工智能信任是否反映了人与人之间的信任动态存在争议.
研究的目的:
- 测试人工智能信任的综合模型,包括先例和后果.
- 检查人工智能个性化对信任和可信度的影响.
主要方法:
- 两项试点研究 (N=313) 和一项主要研究 (N=1,001) 使用AI聊天机器人.
- 综合性信任模型的系统测试和AI个性化效应的分析.
主要成果:
- 整合性信任模型适用于虚拟人工智能.
- 人工智能可信度 (能力,完整性),人形化和信任倾向预测人工智能信任.
- 个性化的AI聊天机器人通过人形化增加了使用意图,而不是信任.
结论:
- 人工智能信任与人际信任有相似之处,受感知可信度和个人信任倾向的影响.
- 人工智能个性化通过人形化增强了用户参与度,与信任相比,建议采用不同的途径.
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