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Wearable and App-based Resilience Modelling in Employees (WearMe)

Authors:
Herman de Vries
Wim Kamphuis
Hilbrand Oldenhuis
Cees van der Schans
Robbert Sanderman

Keywords: Occupational Stress; Personalized eHealth; Sensors; Wearables; Virtual Coaching

Abstract:
Occupational stress can cause all kinds of health problems. Resilience interventions that help employees deal with and adapt to adverse events can prevent these negative consequences. Due to advances in sensor technology and smartphone applications, relatively unobtrusive self-monitoring of resilience-related outcomes is possible. With models that can recognize intra-individual changes in these outcomes and relate them to causal factors within the employee’s own context, an automated resilience intervention that gives personalized, just-in-time feedback (e.g., a virtual coach) can be developed. This ‘Work in Progress’ paper presents the study protocol for the Wearables and app-based resilience Modelling in employees (WearMe) project that aims to develop such models. A cyclical conceptual framework based on existing theories of stress and resilience is presented, as the basis for the WearMe project. The included concepts are operationalized and measured using sleep tracking (Fitbit Charge 2), heart rate variability measurements (Elite HRV + Polar H7) and Ecological Momentary Assessment (mobile app), administered in the morning (7 questions) and evening (12 questions). Analyses will target the development of both within-subject (n=1) models, as well as between-subjects models. If successful, future work will focus on further developing these models and eventually exploring the effectiveness of the envisioned personalized resilience system.

Pages: 34 to 37

Copyright: Copyright (c) IARIA, 2019

Publication date: February 24, 2019

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-688-0

Location: Athens, Greece

Dates: from February 24, 2019 to February 28, 2019