抑郁倾向大学生中式曼陀罗绘画心理自助疗愈平台的设计研究

A Design Study on a Psychological Self-Help Therapy Platform for Chinese Mandala Painting for College Students with Depressive Tendencies

摘要: 当前，我国大学生抑郁风险检出率较高，但传统心理健康服务面临资源失衡、文化适配性不足等挑战。针对此问题，本研究以抑郁倾向大学生为核心用户群体，融合中式曼陀罗绘画与中医五音疗愈理论，设计了一款数字化心理自助疗愈平台。评估模块采用ZUNG氏抑郁自评量表(SDS)进行动态筛查；涂色模块结合中式纹样曼陀罗模板与语音引导，促进情绪表达；音乐模块基于五音疗法(宫、商、角、徵、羽)实现与用户心理状态的智能匹配；分析模块通过颜色、结构、意象三元分析及原型大圆理论生成个性化心理报告。平台设计主要采用Vue与SpringBoot技术栈开发，整合多模态情绪分析模型，实现绘画行为与音乐交互数据的实时反馈，为高校心理健康服务的数字化转型提供了可复用的技术范式。

Abstract: Currently, college students in China present a relatively high detection rate of depression risk, while traditional mental health services are challenged by unbalanced resource allocation and insufficient cultural adaptation. To address these issues, this study takes college students with depressive tendencies as the core user group, and develops a digital self-help psychological healing platform by integrating Chinese-style mandala painting and traditional Chinese medicine five-tone therapy theory. The assessment module adopts the Zung Self-Rating Depression Scale (SDS) for dynamic screening; the coloring module combines Chinese-pattern mandala templates with voice guidance to facilitate emotional expression; the music module enables intelligent matching with users’ psychological states based on the five-tone system (Gong, Shang, Jiao, Zhi, Yu); the analysis module generates personalized psychological reports through a ternary analysis of color, structure and imagery, as well as the prototype mandala theory. Developed with the Vue and SpringBoot tech stack, the platform integrates a multimodal emotion analysis model to realize real-time feedback of painting behavior and music interaction data, providing a reusable technical paradigm for the digital transformation of mental health services in universities.