从信号成本视角评估AI empathetic回应是否恰当
Appropriateness of Empathy in AI: A Signal-Cost Perspective
- 用情感丰富度等三类信号代理衡量三种类型共情
- 提出框架可判断AI共情是否匹配用户实际需求
- 适合研究人机交互中情感表达的合理性
AI共情的恰当性已成为关键议题，过度共情易显操纵，共情不足则显得漠视。尽管已有研究尝试量化AI共情，但很少探讨其情境适切性。本文引入信号理论，构建情感丰富度、换位思考、情境定制三类信号成本代理，分别对应情感、认知和关联共情。该多维框架使共情的评估不再仅关注是否存在，而是考察其与用户需求的匹配程度，实现对共情恰当性的系统化分析。
原文摘要 · Abstract (English)
The appropriateness of empathy in AI has emerged as a critical concern, as excessive empathy risks seeming manipulative while insufficient empathy appears dismissive. While prior research has explored how to quantify empathy in AI, few studies examine whether such empathy is contextually appropriate. This paper introduces an economic perspective by applying signaling theory to human-AI conversations. We propose Signal Cost Proxies (emotional richness, perspective-taking, and contextual tailoring) mapped to affective, cognitive, and associative empathy. This multidimensional framework enables systematic evaluation of empathy not just by presence, but by its appropriateness relative to user demand.
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