Towards Smartphone-Based Assessment of Burnout

  • Christiana Tsiourti
  • Katarzyna Wac
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 130)


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.


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


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  1. 1.
    Von Känel, R.: The Burnout Syndrome: A Medical Perspective. Praxis 97, 477–487 (2008)CrossRefGoogle Scholar
  2. 2.
    Karasek, R., Theorell, T.: Healthy Work: Stress, Productivity, and the Reconstruction of Working Life. Basic Books (1990)Google Scholar
  3. 3.
    Maslach, C., Jackson, S.E.: The Measurement of Experienced Burnout. Journal of Organizational Behavior 2, 99–113 (1981)CrossRefGoogle Scholar
  4. 4.
    Nuallaong, W.: Burnout Symptoms and Cycles of Burnout: The Comparison with Psychiatric Disorders and Aspects of Approaches. In: Bährer-Kohler, S. (ed.) Burnout for Experts, pp. 47–72. Springer US (2013)Google Scholar
  5. 5.
    Kaschka, W.P., Korczak, D., Broich, K.: Burnout: A Fashionable Diagnosis. Deutsches Ärzteblatt International 108, 781–787 (2011)Google Scholar
  6. 6.
    Weber, A., Jaekel-Reinhard, A.: Burnout Syndrome: A Disease of Modern Societies? Occupational Medicine 50, 512–517 (2000)CrossRefGoogle Scholar
  7. 7.
    Maslach, C., Jackson, S.E., Leiter, M.P.: Maslach Burnout Inventory (1986)Google Scholar
  8. 8.
    Kristensen, T., Borritz, M., Villadsen, E., Christensen, K.: The Copenhagen Burnout Inventory: A New Tool for the Assessment of Burnout. Work Stress 19, 192–207 (2005)CrossRefGoogle Scholar
  9. 9.
    Gil-Monte, P.R., Olivares Faúndez, V.E.: Psychometric Properties of the “Spanish Burnout Inventory” in Chilean Professionals Working to Physical Disabled People. The Spanish Journal of Psychology 14, 441–451 (2011)CrossRefGoogle Scholar
  10. 10.
    Moskowitz, D.S., Young, S.N.: Ecological Momentary Assessment: What it is and Why it is a Method of the Future in Clinical Pychopharmacology. Journal of Psychiatry Neuroscience 31, 13–20 (2006)Google Scholar
  11. 11.
    Aydemir, O., Icelli, I.: Burnout: Risk Factors. In: Bährer-Kohler, S. (ed.) Burnout for Experts, pp. 119–143. Springer US, Boston (2013)CrossRefGoogle Scholar
  12. 12.
    Wac, K.: Smartphone as a Personal, Pervasive Health Informatics Services Platform: Literature Review. Yearbook of Medical Informatics 7, 83–93 (2012)Google Scholar
  13. 13.
    Trossen, D.: Can your Phone Double-up as your Life-Coach? (2012),
  14. 14.
    Stone, A.A., Shiffman, S.: Ecological Momentary Assessment (EMA) in Behavorial Medicine. Annals of Behavioral Medicine 16, 199–202 (1994)Google Scholar
  15. 15.
    Trull, T.J., Ebner-Priemer, U.: Ambulatory Assessment. Annual Review of Clinical Psychology (2012)Google Scholar
  16. 16.
    Juslin, P.N., Scherer, K.R.: Vocal Expression of Affect. In: The New Handbook of Methods in Nonverbal Behavior Research, pp. 65–135. Oxford University Press (2005)Google Scholar
  17. 17.
    Zeng, Z., Pantic, M., Roisman, G.I., Huang, T.S.: A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence 31, 39–58 (2007)CrossRefGoogle Scholar
  18. 18.
    Lorente Prieto, L., Salanova Soria, M., Martínez Martínez, I., Schaufeli, W.: Extension of the Job Demands-Resources Model in the Prediction of Burnout and Engagement Among Teachers Over Time. Psicothema 20, 354–360 (2008)Google Scholar
  19. 19.
    Warr, P., Cook, J., Wall, T.: Scales for the Measurement of Some Work Attitudes and Aspects of Psychological Well-Being. Journal of Occupational Psychology 52, 129–148 (1979)CrossRefGoogle Scholar
  20. 20.
    Falaki, H., Mahajan, R., Kandula, S., Lymberopoulos, D., Govindan, R., Estrin, D.: Diversity in smartphone usage. In: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services, p. 179. ACM Press, New York (2010)Google Scholar
  21. 21.
    Maisonneuve, N., Stevens, M., Niessen, M., Steels, L.: NoiseTube: Measuring and Mapping Noise Pollution with Mobile Phones. In: Information Technologies in Environmental Engineering, pp. 215–228 (2009)Google Scholar
  22. 22.
    Pentland, A.(S.): Honest Signals: How They Shape Our World (2008)Google Scholar
  23. 23.
    LUMO BodyTech Inc.,
  24. 24.
    Fitbit: The Wireless Activity and Sleep Tracker,
  25. 25.
  26. 26.
    Genetic Testing for Health, Disease & Ancestry,
  27. 27.
  28. 28.
    Philips Vital Signs Camera,
  29. 29.
    Dey, A.K., Wac, K., Ferreira, D., Tassini, K., Hong, J., Ramos, J.: Getting Closer: An Empirical Investigation of the Proximity of User to their Smart Phones. In: 13th International Conference on Ubiquitous Computing, pp. 163–172. ACM, Beijing (2011)Google Scholar
  30. 30.
    Wac, K., Dey, A.K., Vasilakos, A.V.: Body Area Networks for Ambulatory Psychophysiological Monitoring. In: Proceedings of the Fifth International Conference on Body Area Networks, p. 181. ACM Press, New York (2010)CrossRefGoogle Scholar

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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