一项多主体模拟研究了不同的聊天机器人回应风格如何影响学生的心理状态和对人工智能的依赖性。研究发现，Gemini 2.5 Flash的“以解决方案为导向”的方法能够维持较低的AI依赖性和较高的自力更生能力，而“肯定”和“煽动”的风格则显著增加了依赖性。该研究强调了过度依赖人工智能的潜在风险，并表明聊天机器人的设计会影响用户的自主性和福祉。 AI
影响 这项研究表明，人工智能对话代理的设计可以显著影响用户的行为和心理状态，强调需要仔细考虑回应风格，以减轻过度依赖等潜在的负面影响。
排序理由 该集群包含一篇详细介绍模拟研究的学术论文。
在 arXiv cs.MA (Multiagent) 阅读 →
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
完整方法见我们的编辑标准。
arXiv:2609.05018v1 Announce Type: cross Abstract: LLM-based chatbots are increasingly used as everyday confidants. Because they are designed to maximize user satisfaction, they can respond with excessive empathy and affirmation, which may reinforce mistaken beliefs and foster dep…
LLM-based chatbots are increasingly used as everyday confidants. Because they are designed to maximize user satisfaction, they can respond with excessive empathy and affirmation, which may reinforce mistaken beliefs and foster dependence on AI. While the psychological effects of …
LLM chatbots are increasingly used as everyday confidants; tuned to satisfy users, they can answer with excessive empathy and affirmation that may foster dependence. How the states and relationships of many users co-evolve when they keep consulting an AI is hard to observe in rea…