从瞬时情绪推断到持续情绪支持：纵向研究中陪伴智能体的评估
From Momentary Emotion Inference to Sustained Emotion Support: Evaluating a Companion Agent in a Longitudinal Study
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- University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）
- University of Maryland（马里兰大学）
- Florida State University（佛罗里达州立大学）
机构由 AI 辅助整理，请以论文原文为准。
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中文总结 AI 辅助
本研究通过14天纵向部署PAIR陪伴智能体，验证其从瞬时情绪推断到持续情绪支持的能力，发现引导式对话提升情绪效价且感知有用性随时间增长，为自适应情绪支持工具设计提供依据。
中文摘要 AI 辅助
持续情绪支持是一项与人类福祉密切相关的长时程交互任务。近期研究表明，生成式智能体具备提供瞬时情绪支持的能力，但这些能力如何随时间推移维持支持效果仍不明确。为探究这一挑战，我们部署了PAIR——一种基于理论的情绪调节陪伴智能体，与19名参与者进行了为期14天的研究。在1093次会话中，我们将情绪估计与指导前后的自我报告配对，并分析了日志和访谈数据。情绪估计与自我报告的效价和支配度相关性高于唤醒度。引导式对话后，参与者报告了更高的效价和状态依赖的唤醒度变化。参与者通过情境探索和情感确认感到被理解，并根据自身需求和约束采纳了适合的指导。引导式对话的感知有用性随时间显著提升。我们的研究结果将记忆更新和保留的修正与跨会话个性化联系起来，为未来能够适应不断变化需求、从先前结果中学习并保留用户对记忆控制的情绪支持工具提供启示。
英文摘要
Sustained emotional support is a long-horizon interaction task closely tied to human well-being. Recent research demonstrates generative agents' capacity for momentary emotional support, yet how these capabilities sustain support over time remains unclear. To examine this challenge, we deployed PAIR, a theory-based emotion-regulation companion, with 19 participants for 14 days. Across 1,093 sessions, we paired emotion estimates with self-reports before and after guidance and analyzed logs and interviews. Estimates corresponded more closely to self-reported valence and dominance than arousal. Guided conversations were followed by higher valence and state-dependent arousal changes. Participants felt understood through contextual exploration and emotional acknowledgment, acting on guidance suited to their needs and constraints. Perceived helpfulness of guided conversation significantly increased over time. Our findings link memory updates and retained corrections to cross-session personalization, informing future emotional support tools that adapt to evolving needs, learn from prior outcomes, and preserve user control over memory.
