AI 中文总结
研究社交媒体上人类与人工智能伴侣对话，引入表情线索透镜框架，将语言等线索归为十类。通过分析约3500篇Reddit和小红书帖子发现，文化和平台规范影响对陪伴智能体的认知，为具文化敏感性的智能体设计提供启示。
AI 中文摘要
基于大语言模型的人工智能伴侣不仅被视为工具，还被当作社交伙伴。在社交媒体上，人们讲述这些智能体给予安慰、协商和设定界限的对话，体现出对其类人特质的认知增加。为剖析人类与人工智能互动中智能体的感知方式，我们引入表情线索透镜框架，将语言、认知、行为和感知线索归纳为十种类人化表达类别。我们将此框架应用于约3500篇讨论人类与人工智能陪伴关系的Reddit和小红书帖子。通过迭代专家注释和大语言模型辅助标注，跨平台分析表明，小红书用户使用更多脆弱性和情感表达以及更多非感知线索，Reddit用户使用更多具有时间性和具身性表达的感知线索。这些发现表明文化和平台规范塑造了将陪伴智能体视为积极、有能动性伙伴的方式，并为具有文化敏感性的人类与人工智能陪伴智能体提供设计启示。
英文摘要
LLM-based AI companion agents are increasingly being perceived not only as tools but also as social companions. On social media, people recount conversations where these agents comfort, negotiate and assert boundaries, reflecting a growing attribution of human-like qualities. To profile how agency is perceived in human-AI (HAI) interactions, we introduce the ExpressionCueLens framework, which organizes linguistic, cognitive, behavioral and perceptual cues into ten categories of anthropomorphism expressions. We apply this framework to $\sim$3500 Reddit and XiaoHongShu posts that discuss HAI companionship. Through iterative expert annotation and LLM-assisted labeling, our cross-platform analysis indicates patterns consistent with the hypothesis that XiaoHongShu users use significantly more expressions of vulnerability and emotions, and more non-perceptual cues. Reddit users employ more perceptual cues with temporality and embodiment expressions. These findings suggest that cultural and platform norms shape the way that companion agents are treated as active, agentic partners, and provides design implications for culturally sensitive HAI companion agents.
CommentsAccepted at Journal of Ambient Intelligence and Humanized Computing
