Research on Intelligent Psychological Consultation Method Based on Dynamic Scale Embedding and Dialogue Analysis
Keywords:
Intelligent Psychological Consultation, Dynamic Scale Embedding, Dialogue Analysis, Retrieval-augmented Generation, Standardized Treatment PlanAbstract
Mental health service demands in China keep rising, while traditional psychological counseling is hampered by uneven resource allocation, high costs, delayed responses and inconsistent practitioner expertise. Current intelligent counseling systems mainly adopt rule matching or basic model fine-tuning, leading to rigid dialogue, insufficient professionalism and poor capacity for active assessment and intervention. This paper presents an intelligent psychological counseling approach integrating dynamic scale embedding and dialogue analysis. Its technical framework covers dynamic scale embedding, standardized treatment plan generation, and the collaboration of fine-tuned models and Retrieval-Augmented Generation (RAG). By analyzing dialogue rhythm and semantics, the method embeds psychological scales dynamically via mutual information thresholds to realize unobtrusive assessment. Combined with user portraits and professional knowledge bases, it can automatically produce standardized treatment schemes. The joint use of domain fine-tuning and RAG also improves the empathy, guidance and professionalism of system responses. Experiments show the proposed method surpasses conventional methods in empathy, guidance, professionalism, fluency and reasoning efficiency. It supports low-cost, accessible and standardized intelligent psychological counseling, with great practical value and broad application prospects.
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