多模态数据视角下职业倦怠风险传导路径与实时干预策略

Risk Transmission Pathways and Real-time Intervention Strategies of Occupational Burnout from a Multimodal Data Perspective

摘要

职业倦怠已从传统问卷中的事后评分问题，转为组织治理中需要前移识别的动态风险。多模态数据的发展，使研究者能够在合法授权和最小必要原则下，综合工作邮件节律、语音语调变化、键盘与鼠标操作特征、排班记录、系统登录时段、工位端非内容化操作日志以及办公环境中的光照与噪声变化，对员工压力积累、恢复受阻和行为失衡过程进行连续观察。中国职场当前同时存在高强度任务、数字通讯黏连、情绪劳动增多与轮班失序等情境，因此，单靠阶段性测评已难以及时捕捉倦怠由轻到重的演变链条。围绕多模态识别、风险传导与实时数字微干预展开分析，具有较强的现实针对性。

Abstract

Occupational burnout has evolved from a post-event scoring issue in traditional questionnaires to a dynamic risk requiring proactive identification in organizational governance. The development of multimodal data enables researchers to continuously observe employee stress accumulation, recovery barriers, and behavioral imbalances by integrating work email rhythms, voice tone variations, keyboard and mouse operation characteristics, shift records, system login times, non-content operation logs at workstations, and environmental factors such as lighting and noise fluctuations, all within the framework of legal authorization and the least essential principle. China’s workplace currently faces concurrent challenges including high-intensity tasks, digital communication addiction, increased emotional labor, and shift disruptions. Consequently, periodic assessments alone are insufficient to promptly capture the progression of burnout from mild to severe stages. Analyzing multimodal recognition, risk transmission, and real-time digital micro-interventions holds significant practical relevance.

关键词

多模态数据 / 员工 / 职业倦怠风险 / 传导路径 / 实时干预

Key words

multimodal data / employees / occupational burnout risk / transmission pathways / real-time intervention

参考文献

[1] 栗宁, 马景璇, 兰亚佳, 等 . 心理灵活性和紧张反应对职业倦怠风险的效应分析[J]. 工业卫生与职业病, 2024, 50(5): 403-407.

[2] 荣子捷 . 浅析一线员工职业倦怠风险及对策[J]. 2024(2): 36-37.

[3] 刘晓凤, 崔红梅, 魏永利 . 工作场所暴力与职业压力和职业倦怠的关系:心理弹性的中介作用[J]. 2025(18): 68-70.

[4] 李冰 . 缓解职业倦怠,企业当有所作为[J]. 人力资源, 2025(1).

[5] 邓阳 . 当代青年职业倦怠现象的多维分析及缓解路径研究[J]. 陕西青年职业学院学报, 2024(3).