Simulating Human-Like Counseling: A Path- and Scenario-Guided Framework for Psychological Support Dialogue

The growing demand for psychological support underscores the lack of high-quality counseling dialogue datasets, particularly in non-English contexts. We propose PGSim, a Path-Guided Simulation framework that mirrors real counseling processes—symptom description, problem identification, cause analysis, strategy planning, and iterative adjustment. PGSim models each user scenario as a fine-grained quadruple {Group, Psychological Problem, Problem Cause, Support Focus} and guides dialogue generation through expert-annotated strategy paths. Real counseling dialogues and expert-edited samples are used to fine-tune two language models: a Dialog Generator for strategy-aligned dialogue creation and a Dialog Modifier for expert-level refinement. After automated and human verification, we construct the Chinese Psychological support Dialogue Dataset (CPsDD), containing 68K dialogues across 13 groups, 16 problems, 13 causes, and 12 support focuses. We further present the Comprehensive Agent Dialogue Support System (CADSS), which integrates profiling, summarization, strategy planning, and empathetic response. Experiments on CPsDD and ESConv demonstrate that CADSS achieves state-of-the-art results on Strategy Prediction and Emotional Support Conversation tasks.

Authors

• Yuanchen Shi School of Computer Science and Technology, Soochow University Jiangsu Key Lab of Language Computing, Suzhou 215123, China
• Longyin Zhang Aural & Language Intelligence, A*STAR Institute for Infocomm Research
• Maodong Li Wuhan University
• Yibin Zheng School of Computer Science and Technology, Soochow University Jiangsu Key Lab of Language Computing, Suzhou 215123, China
• Xiuhong Wang Institute of Science and Technology Information, Jiangsu University
• Fang Kong Shanghai Jiao Tong University

Keywords

No keywords are indexed for this paper.