arXiv 2601.190962026-01-27cs.CL

PsyProbe: 通过用户状态建模实现探索性辅导的主动与可解释对话

PsyProbe: Proactive and Interpretable Dialogue through User State Modeling for Exploratory Counseling

Department of Industrial Engineering, Seoul National University（工业工程系，首尔国立大学）；Department of Education, Seoul National University（教育系，首尔国立大学）

Sohhyung Park, Hyunji Kang, Sungzoon Cho, Dongil Kim

备注：: In Findings of the Association for Computational Linguistics: EACL 2026

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AI总结：

PsyProbe通过系统性用户状态建模和主动提问提升探索性辅导的互动效果和专业性。

摘要：

近年来，大型语言模型的进步使心理健康对话系统成为可能，但现有方法仍主要反应式，缺乏系统性的用户状态建模以实现主动治疗探索。我们介绍了PsyProbe，一种用于辅导探索阶段的对话系统，通过PPPPPI框架（呈现、诱因、诱发、维持、保护、影响）结合认知错误检测，系统地跟踪用户心理状态。PsyProbe结合State Builder提取结构化心理档案，Memory Construction追踪信息缺口，Strategy Planner用于动机访谈行为代码，以及带有问题构思和批评/修订模块的Response Generator生成上下文合适的主动问题。我们通过27名参与者在真实世界韩国辅导场景中评估PsyProbe，包括跨消融模式的自动评估、用户评估和由认证辅导员进行的专家评估。完整的PsyProbe模型在自动评估中始终优于基线和消融模式。用户评估显示与基线相比，参与者的参与意愿显著增加且自然度提高。专家评估表明，PsyProbe显著提高了核心问题的理解，并实现了与专业辅导员相当的问题率，验证了系统性状态建模和主动提问在治疗探索中的有效性。

英文摘要：

Recent advances in large language models have enabled mental health dialogue systems, yet existing approaches remain predominantly reactive, lacking systematic user state modeling for proactive therapeutic exploration. We introduce PsyProbe, a dialogue system designed for the exploration phase of counseling that systematically tracks user psychological states through the PPPPPI framework (Presenting, Predisposing, Precipitating, Perpetuating, Protective, Impact) augmented with cognitive error detection. PsyProbe combines State Builder for extracting structured psychological profiles, Memory Construction for tracking information gaps, Strategy Planner for Motivational Interviewing behavioral codes, and Response Generator with Question Ideation and Critic/Revision modules to generate contextually appropriate, proactive questions. We evaluate PsyProbe with 27 participants in real-world Korean counseling scenarios, including automatic evaluation across ablation modes, user evaluation, and expert evaluation by a certified counselor. The full PsyProbe model consistently outperforms baseline and ablation modes in automatic evaluation. User evaluation demonstrates significantly increased engagement intention and improved naturalness compared to baseline. Expert evaluation shows that PsyProbe substantially improves core issue understanding and achieves question rates comparable to professional counselors, validating the effectiveness of systematic state modeling and proactive questioning for therapeutic exploration.

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。