情感计算与动态策略协同的心理疏导对话系统
Journal: Advances in Computer and Autonomous Intelligence Research DOI: 10.12238/acair.v3i2.13506
Abstract
针对当前心理健康服务中存在的复通用性较高、疏导策略较为单一以及多模态资源整合不够充足等问题,本研究设计了一种融合情感计算与动态策略协同的智能心理疏导对话系统。此系统借助通义千问大语言模型来构建动态状态机,运用结构化少样本情绪识别技术,可精确分类六大核心情绪,还可以对其强度进行量化评分,并且结合三级动态干预策略,以此达成个性化疏导,整合多模态资源库,采用思维链与多智能体协同机制来优化对话流程,提升共情表达与策略适配性。研究显示,该系统在情感解析准确率、干预精准度以及实时响应方面比传统方法更具优势,依靠结合Flask框架与微信小程序的前后端架构,为心理健康服务的普惠化与精准化给予了创新的解决方案。
Keywords
心理疏导；对话系统；大语言模型；情感计算；动态策略
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