We present a novel longitudinal multimodal corpus of physiological and behavioral data collected from direct clinical providers in a hospital workplace. We designed the study to investigate the use of off-the-shelf wearable and environmental sensors to understand individual-specific constructs such as job performance, interpersonal interaction, and well-being of hospital workers over time in their natural day-to-day job settings. We collected behavioral and physiological data from $n = 212$ participants through Internet-of-Things Bluetooth data hubs, wearable sensors (including a wristband, a biometrics-tracking garment, a smartphone, and an audio-feature recorder), together with a battery of surveys to assess personality traits, behavioral states, job performance, and well-being over time. Besides the default use of the data set, we envision several novel research opportunities and potential applications, including multi-modal and multi-task behavioral modeling, authentication through biometrics, and privacy-aware and privacy-preserving machine learning.

中文翻译：

---

TILES-2018：医院工作人员的纵向生理和行为数据集

我们展示了从医院工作场所的直接临床提供者收集的生理和行为数据的新型纵向多模态语料库。我们设计了这项研究，以调查使用现成的可穿戴和环境传感器来了解个人特定的结构，例如工作绩效、人际交往和医院工作人员在自然日常工作中随时间推移的幸福感设置。我们通过物联网蓝牙数据中心、可穿戴传感器（包括腕带、生物识别跟踪服装、智能手机和音频功能记录器）收集了 n = 212 美元参与者的行为和生理数据，以及一系列调查，以评估个性特征、行为状态、工作绩效和一段时间内的幸福感。除了默认使用数据集，