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. Todate, 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 selfassessment 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.
Original language | English |
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Journal | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
Volume | 130 |
Pages (from-to) | 158-165 |
Number of pages | 8 |
ISSN | 1867-8211 |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 5th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2013 - Paris, France Duration: 7 Nov 2013 → 8 Nov 2013 |
Conference
Conference | 5th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2013 |
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Country/Territory | France |
City | Paris |
Period | 07/11/2013 → 08/11/2013 |
Sponsor | Computer Society and Create-Net in association with the European Alliance for Innovation (EAI), ICST, IEEE |
Keywords
- Behaviour modelling
- Burnout prevention
- Context awareness
- Mobile computing
- Personalized health
- Self-monitoring
- Wellbeing