共情的幻觉：AI聊天机器人如何塑造对话感知
The Illusion of Empathy: How AI Chatbots Shape Conversation Perception
AI总结：
该研究通过分析155段对话发现，GPT聊天机器人虽对话质量评分更高，却被认为共情能力低于人类，说明高质量人机交互不能仅靠嵌入共情语言，还需解决用户对聊天机器人共情的细微感知问题。
摘要：
随着AI聊天机器人越来越多地融入共情能力，理解以用户为中心的聊天机器人共情感知及其对对话质量的影响仍然至关重要但尚未得到充分探索。本研究考察了聊天机器人身份和感知共情如何影响用户的整体对话体验。通过分析来自两个数据集的155段对话，我们发现，尽管基于GPT的聊天机器人在对话质量上获得了显著更高的评分，但与人类对话伙伴相比，它们始终被认为共情能力更低。GPT-4o标注的共情评分与用户评分一致，进一步强化了聊天机器人相比人类共情能力更低的感知。我们的研究结果强调了感知共情在塑造对话质量中的关键作用，揭示了实现高质量的人机交互不仅仅需要嵌入共情语言，还需要解决用户在聊天机器人对话中解读和体验共情的细微方式。
英文摘要：
As AI chatbots increasingly incorporate empathy, understanding user-centered perceptions of chatbot empathy and its impact on conversation quality remains essential yet under-explored. This study examines how chatbot identity and perceived empathy influence users' overall conversation experience. Analyzing 155 conversations from two datasets, we found that while GPT-based chatbots were rated significantly higher in conversational quality, they were consistently perceived as less empathetic than human conversational partners. Empathy ratings from GPT-4o annotations aligned with user ratings, reinforcing the perception of lower empathy in chatbots compared to humans. Our findings underscore the critical role of perceived empathy in shaping conversation quality, revealing that achieving high-quality human-AI interactions requires more than simply embedding empathetic language; it necessitates addressing the nuanced ways users interpret and experience empathy in conversations with chatbots.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
