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ThinkMind // International Journal On Advances in Life Sciences, volume 11, numbers 3 and 4, 2019 // View article lifsci_v11_n34_2019_2
Modelling Employee Resilience Using Wearables and Apps: A Conceptual Framework and Research Design
 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 health problems, productivity loss or absenteeism. Resilience interventions that help employees positively adapt to adversity can help prevent the negative consequences of occupational stress. 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 context, an automated resilience intervention that gives personalized, just-in-time feedback can be developed. This paper presents the conceptual framework and methods behind the WearMe project, which 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 operationalization of the concepts and the daily measurement cycle are described, including the use of wearable sensor technology (e.g., sleep tracking and heart rate variability measurements) and Ecological Momentary Assessment (mobile app). Analyses target the development of within-subject (n=1) and between-subjects models and include repeated measures correlation, multilevel modelling, time series analysis and Bayesian network statistics. Future work will focus on further developing these models and eventually explore the effectiveness of the envisioned personalized resilience system. Pages: 110 to 117 Copyright: Copyright (c) to authors, 2019. Used with permission. Publication date: December 30, 2019 Published in: journal ISSN: 1942-2660
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