摘 要：
舞动治疗与音乐治疗作为临床中的非药物替代疗法，在情感调节与心理健康等方面的促进和修复中展现出其独特价值。然而，传统实践常将二者视为独立领域，在疗法上存在个性化不足与实时反馈缺失等局限。本文基于动作与声音在生理及心理层面的深层关系，剖析了运动的发生机制与音乐的介入原理，创新性地提出了“情绪-身体”循环模型。该模型将音乐与舞蹈视作一个动态、交互的治疗整体，刻画了从情绪触发、感官感知、意象形成、运动表达到身体感知变化，并最终反馈影响情绪的闭环过程，系统阐释了音乐在该循环各环节中的靶向调节作用。同时，本文引入人工智能（AI）技术，旨在突破传统方法的瓶颈。研究通过设计并实施一项初步实验，采用AI辅助的舞动与音乐交互疗法方案，综合采集参与者生理与心理数据。结果表明，该融合方案能在一定程度提升治疗成效。
关键词：AI赋能；舞动治疗；音乐治疗；情感计算；身心整合
Abstract:
Dance/movement therapy and music therapy, as non-pharmacological alternative approaches in clinical practice, demonstrate unique value in promoting and restoring emotional regulation and mental health. However, traditional practices often treat the two as independent fields, with limitations such as insufficient personalization and lack of real-time feedback in therapeutic applications. Based on the deep physiological and psychological connections between movement and sound, this paper analyzes the mechanisms of motor activity and the principles of music intervention, and innovatively proposes an “Emotion–Body” cycle model. This model views music and dance as a dynamic, interactive therapeutic whole, outlining a closed-loop process from emotional triggering, sensory perception, imagery formation, movement expression, and bodily perception changes, which ultimately feeds back to influence emotions. It systematically explains the targeted regulatory role of music at each stage of this cycle. Furthermore, this paper incorporates artificial intelligence (AI) technology to address the bottlenecks of traditional methods. Through the design and implementation of a preliminary experiment, an AI-assisted dance and music interactive therapy program was applied, and participants’ physiological and psychological data were comprehensively collected. The results indicate that this integrated approach relatively enhances therapeutic outcomes.
Keywords: AI empowerment; Dance/movement therapy; Music therapy; Affective computing; Mind-body integration.
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