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arXiv 2409.15550cs.HC
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交谈、倾听、连接：人类与AI如何评估对情感叙事回应的共情

Talk, Listen, Connect: How Humans and AI Evaluate Empathy in Responses to Emotionally Charged Narratives

Mahnaz Roshanaei, Rezvaneh Rezapour, Magy Seif El-Nasr

备注：
18 pages, 4 figures, 6 tables. Title updated from "Talk, Listen, Connect: Navigating Empathy in Human-AI Interactions" to "Talk, Listen, Connect: How Humans and AI Evaluate Empathy in Responses to Emotionally Charged Narratives" in this version. This is version 3 (v3) of the paper. All previous citations of arXiv:2409.15550 with the old title still refer to the same paper
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AI总结：

本研究比较人类与AI对情感叙事的共情评估，发现AI回应受情感生动性和共享经历影响较小，缺乏共情细微差别，为设计情感智能系统提供启示。

摘要：

社交互动促进幸福感，然而地理距离、时间限制和心理健康状况等障碍可能限制面对面的互动。具有情感响应能力的AI系统，如聊天机器人，为社交和情感支持提供了新的机会，但也引发了关于在人与AI互动中如何感知和体验共情的关键问题。本研究考察了共情在AI生成回应与人类回应中是如何被评估的。利用个人叙事，我们探讨了人物属性（如性别、共情特质、共享经历）和故事特质如何影响共情评分。我们比较了标准AI模型和微调AI模型的回应与人类判断。结果表明，虽然人类对情感生动性和共享经历高度敏感，但AI回应受这些线索的影响较小，往往在共情表达上缺乏细微差别。这些发现凸显了设计能够针对不同用户和情境做出有意义回应的情感智能系统所面临的挑战，并为设计具有伦理意识的工具以支持社会联系和幸福感提供了信息。

英文摘要：

Social interactions promote well-being, yet barriers like geographic distance, time limitations, and mental health conditions can limit face-to-face interactions. Emotionally responsive AI systems, such as chatbots, offer new opportunities for social and emotional support, but raise critical questions about how empathy is perceived and experienced in human-AI interactions. This study examines how empathy is evaluated in AI-generated versus human responses. Using personal narratives, we explored how persona attributes (e.g., gender, empathic traits, shared experiences) and story qualities affect empathy ratings. We compared responses from standard and fine-tuned AI models with human judgments. Results show that while humans are highly sensitive to emotional vividness and shared experience, AI-responses are less influenced by these cues, often lack nuance in empathic expression. These findings highlight challenges in designing emotionally intelligent systems that respond meaningfully across diverse users and contexts, and informs the design of ethically aware tools to support social connection and well-being.

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。

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