基于用户历史帖子生成情感支持，通过多顾问协作优化回应质量。
MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement
- 从用户历史发帖构建心理案例，融合过往经历理解当前情绪
- 多顾问协作迭代修正回应，提升共情与个性化水平
- 在真实用户测试中获最高偏好，适合心理健康支持研究
随着全球心理健康问题日益严峻，社交媒体已成为人们寻求情感支持的重要场所。现有个性化支持方法虽考虑了用户的情绪状态、人格特征和情境背景，但主要聚焦于当下状态，忽略了塑造当前困扰的过往经历。本文提出 MindTailor 框架，通过分析用户的历史帖子构建心理案例，并由采用不同咨询策略的咨询代理进行协同批判性反馈，迭代优化支持回复。为推动该历史感知任务的研究，我们构建了 ReddiSupp 数据集，包含 798 条 Reddit 帖子及其对应的用户历史发帖。通过 LLM 评分、专家人工评估及面向真实求助者的用户研究，结果表明，MindTailor 在共情度、个性化、理解力方面均优于基线模型，整体偏好得分最高。
原文摘要 · Abstract (English)
As mental health concerns continue to rise globally, social media has emerged as a vital space where individuals seek emotional support. While prior work on personalized emotional support has leveraged seekers' emotional states, personas, and situational context, these approaches primarily capture the seeker's current state, overlooking the formative experiences that shape present concerns. In this work, we propose MindTailor, a framework that generates personalized emotional support responses by constructing a case formulation from the seeker's post history and iteratively refining responses through collaborative critique among counselor agents grounded in distinct counseling strategies. To enable research on this history-aware task, we construct ReddiSupp, a dataset of 798 Reddit posts paired with seekers' prior post histories. Through LLM-as-a-Judge evaluation, expert human evaluation, and a user study with seekers, we demonstrate that MindTailor outperforms baselines across these evaluations, improving empathy, personalization, understanding, and achieving the highest overall preference.
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