用可穿戴音频设备分析医护沟通行为，揭示工作负荷与压力关系。
VoxCare: Studying Natural Communication Behaviors of Hospital Caregivers through Wearable Sensing of Egocentric Audio
- 通过佩戴式设备实时提取声音特征，不存储原始音频。
- 发现不同班次和科室的沟通频率与持续时间差异显著。
- 适合医疗行为研究者、医院管理者及人机交互团队参考。
医护人员在复杂高风险环境中，有效沟通对诊疗、团队协作和自身福祉至关重要。然而，日常临床环境中的沟通行为仍难以测量，且在人类行为研究中鲜有探索。我们提出VoxCare，一种可扩展的视角内可穿戴音频传感与计算系统，能在真实场景中捕捉医护人员自然沟通行为，且不存储原始音频。VoxCare实现设备端实时声学特征提取，并采用语音基础模型引导的师生框架识别前景语音活动。基于这些特征，系统推导出可解释的沟通频率、时长和声调唤醒度等行为指标。分析揭示了不同班次与工作单元间沟通模式的差异，表明沟通行为反映潜在工作负荷与压力。该研究为持续评估日常情境下的医护人员行为提供了数据驱动方法，有助于提升医疗服务质量。
原文摘要 · Abstract (English)
Healthcare professionals work in complex, high-stakes environments where effective communication is critical for care delivery, team coordination, and individual well-being. However, communication activity in everyday clinical settings remains challenging to measure and largely unexplored in human behavioral research. We present VoxCare, a scalable egocentric wearable audio sensing and computing system that captures natural communication behaviors of hospital professionals in real-world settings without storing raw audio. VoxCare performs real-time, on-device acoustic feature extraction and applies a speech foundation model-guided teacher-student framework to identify foreground speech activity. From these features, VoxCare derives interpretable behavioral measures of communication frequency, duration, and vocal arousal. Our analyses reveal how, when, and how often clinicians communicate across different shifts and working units, and suggest that communication activity reflects underlying workload and stress. By enabling continuous assessment of communication patterns in everyday contexts, this study provides data-driven approaches to understand the behaviors of healthcare providers and ultimately improve healthcare delivery.
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