Abstract

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 …

Date

October 16, 2020

Authors

Karel Mundnich, Brandon M Booth, Michelle l’Hommedieu, Tiantian Feng, Benjamin Girault, Justin L’hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L Villatte, Tiago H Falk, Kristina Lerman, Emilio Ferrara, Shrikanth Narayanan

Journal

Scientific Data

Volume

7

Issue

1

Pages

354

Publisher

Nature Publishing Group UK