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Abstract

In this paper, we present work in progress on VITAL-IN, a pervasive mobile application that aims to operationalize and assess multi-dimensional risk factors increasing a person’s chance of developing the burnout syndrome. To date, there are no conclusive scientific results of what causes burnout, yet some factors are evident. We propose VITAL-IN application, enabling the analysis of distributed, variable order, sensor input and ecological momentary self-assessment towards “just-in-time” inference of an individual’s behaviour and state, and future burnout risk prediction. Understanding the risk factors and the developmental trajectories leading to burnout could facilitate its early recognition and help to determine the most effective strategies and the most appropriate time for prevention and intervention efforts.

Keywords

Mobile computing behaviour modelling burnout prevention personalized health self-monitoring wellbeing context awareness 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2014

Authors and Affiliations

  • Christiana Tsiourti
    • 1
  • Katarzyna Wac
    • 1
  1. 1.Institute of Service ScienceUniversity of GenevaCarougeSwitzerland

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