一项发表在arXiv上的新研究探讨了会话式AI代理如何影响用户信任和依赖。研究人员发现，虽然通过情境化进行的个性化会降低AI的说服力，但将其与会话热情相结合可以恢复这种效果。有趣的是，用户对AI建议的依赖程度（甚至超过专家判断）在不同的会话设计中保持一致，而AI素养独立于行为结果影响信任。 AI
影响 这项研究表明，虽然会话设计选择对AI依赖性的影响有限，但用户可能会越来越多地将AI置于人类专家之上，这凸显了对AI素养教育进行仔细考量的必要性。
排序理由 该集群包含一篇发表在arXiv上的研究论文，其中详细介绍了实验结果。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2605.31275v1 Announce Type: cross Abstract: Artificial Intelligence (AI) agents personalize their responses by tailoring explanations to users' backgrounds, interests, and prior interactions, referred to as contextualization. Personalization has been identified as a persuas…
Artificial Intelligence (AI) agents personalize their responses by tailoring explanations to users' backgrounds, interests, and prior interactions, referred to as contextualization. Personalization has been identified as a persuasive strategy in politics or in marketing. However,…