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

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

de Vries, H.
Kamphuis, W.
Oldenhuis, H.K.E.
Schans, C.
Sanderman, R.

2019

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. Best Paper’ award

Occupational stress
Personalized eHealth
Sensors
Wearbles
Virtual Coaching

http://resolver.tudelft.nl/uuid:9111f718-f8ae-40bc-a72c-8ed287f6eba0

873280

9781612086880

Proceedings of the 11th International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED), February 24-28 2019, Athens, Greece, 34-37

conference paper