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TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers.
- Source :
-
Scientific data [Sci Data] 2020 Oct 16; Vol. 7 (1), pp. 354. Date of Electronic Publication: 2020 Oct 16. - Publication Year :
- 2020
-
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 nā=ā212 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.
Details
- Language :
- English
- ISSN :
- 2052-4463
- Volume :
- 7
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific data
- Publication Type :
- Academic Journal
- Accession number :
- 33067468
- Full Text :
- https://doi.org/10.1038/s41597-020-00655-3