MindTailor: 通过历史帖子基于案例构建和协作精炼的个性化情感支持
MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement
AI总结：
提出MindTailor框架，利用求助者历史帖子构建案例，并通过基于不同咨询策略的协作批评迭代精炼回复，在Reddit数据集上优于基线，提升共情和个性化。
摘要：
随着心理健康问题在全球范围内持续上升，社交媒体已成为个人寻求情感支持的重要空间。虽然先前关于个性化情感支持的工作利用了求助者的情绪状态、人格和情境背景，但这些方法主要捕捉求助者的当前状态，忽视了形成当前问题的经历。在这项工作中，我们提出了MindTailor，一个通过从求助者的历史帖子构建案例，并通过基于不同咨询策略的辅导员代理之间的协作批评迭代精炼回复来生成个性化情感支持回复的框架。为了支持这种历史感知任务的研究，我们构建了ReddiSupp数据集，包含798个Reddit帖子及其对应的求助者历史帖子。通过LLM作为评估者、专家人工评估以及针对求助者的用户研究，我们证明MindTailor在这些评估中优于基线，提高了共情、个性化、理解能力，并获得了最高的总体偏好。
英文摘要：
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.
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。
