TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers

03/18/2020
by   Karel Mundnich, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/16/2019

Learning Behavioral Representations from Wearable Sensors

The ubiquity of mobile devices and wearable sensors offers unprecedented...
research
06/10/2020

Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being

Assessment of job performance, personalized health and psychometric meas...
research
12/18/2022

Exploring Workplace Behaviors through Speaking Patterns using Large-scale Multimodal Wearable Recordings: A Study of Healthcare Providers

Interpersonal spoken communication is central to human interaction and t...
research
06/22/2021

Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network

Shift workers who are essential contributors to our society, face high r...
research
08/04/2020

Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors

Life events can dramatically affect our psychological state and work per...
research
06/18/2020

Detecting Affective Flow States of Knowledge Workers Using Physiological Sensors

Flow-like experiences at work are important for productivity and worker ...

Please sign up or login with your details

Forgot password? Click here to reset