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A New Method for Mental Workload Registration

  • Thea RadüntzEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9736)

Abstract

Complex and highly automated systems impose high demands on employees with respect to cognitive capacity and the ability to cope with workload. Objectively registering mental workload at workplaces with high cognitive demands would enable prevention of over- and underload. Although urgently needed, such technical measurement is currently unfeasible. Hence, the goal of this work is the establishment of precisely such an objective method.

In this article we briefly present a new method for registering mental workload by means of the electroencephalogram (EEG). Based on so called Dual Frequency Head Maps (DFHM) every 5 s we obtain an index of mental state ranging between the classes low, moderate, and high workload.

Finally, we present results from a sample set of 54 people during the execution of the cognitive tasks 0-back, stroop test and AOSPAN in a laboratory setting. We compare them with our expectations based on the knowledge of task requirements on the executive functions as well as with further workload relevant biosignal data, performance data, and the NASA-TLX as a subjective questionnaire method. By this we gain proof of the integrity of the new method.

Keywords

Mental workload Electroencephalogram (EEG) Signal processing Pattern recognition 

Notes

Acknowledgments

We would like to thank Dr Sergei Schapkin, Dr Patrick Gajewski, and Prof Michael Falkenstein for selection of the battery’s tasks. We would like to thank Mr Ludger Blanke for technical support during the timing tests for the tasks. In addition, we would like to thank Ms Xenija Weißbecker-Klaus, Mr Robert Sonnenberg, Dr Sergei Schapkin, and Ms Marion Freyer for general task testing and for conducting the laboratory experiments. Furthermore, we would like to thank Ms Marion Exner for daily operational support and our student assistant Jon Scouten for proofreading.

More information about the project where our EEG data were acquired can be found under the following link: http://www.baua.de/de/Forschung/Forschungsprojekte/f2312.html?nn=2799254.

References

  1. 1.
    Debitz, U., Gruber, H., Richter, G.: Psychische Gesundheit am Arbeitsplatz. Teil 2: Erkennen, Beurteilen und Verhüten von Fehlbeanspruchungen, vol. 2, 3rd edn. InfoMediaVerlag (2003)Google Scholar
  2. 2.
    Hacker, W., Richter, P.: Psychische Fehlbeanspruchung. Psychische Ermdung, Monotonie, Sttigung und Stress. (Spezielle Arbeits- und Ingenieurpsychologie in Einzeldarstellungen), vol. 2, 2nd edn. Springer, Heidelberg (1984)CrossRefGoogle Scholar
  3. 3.
    Hart, S.G., Staveland, L.E.: Development of the NASA TLX: results of empirical and theoretical research. In: Hancock, P., Meshkati, N. (eds.) Human Mental Workload, pp. 139–183. North Holland, Amsterdam (1988)CrossRefGoogle Scholar
  4. 4.
    Kompier, M.A.J., Kristensen, T.S.: Organisational work stress interventions in a theoretical, methodological and practical context. In: Dunham, J. (ed.) Stress in the Workplace: Past, Present and Future, pp. 164–190. Whurr Publishers, London (2001)Google Scholar
  5. 5.
    Landsbergis, P.A., Cahill, J., Schnall, P.: The changing organisation of work and the safety and health of working people: a commentary. J. Occup. Environ. Med. 45(1), 61–72 (2003)CrossRefGoogle Scholar
  6. 6.
    May, J.F., Baldwin, C.L.: Driver fatigue: the importance of identifying causal factors of fatigue when considering detection and countermeasure technologies. Transportation Research Part F 12, pp. 218–224 (2008). Accessed 03 Nov 2011Google Scholar
  7. 7.
    Miyake, A., Friedman, N.P., Emerson, M.J., Witzki, A.H., Howerter, A., Wager, T.D.: The unity and diversity of executive functions and their contributions to complex “frontal lobe" tasks: a latent variable analysis. Cogn. Psychol. 41(1), 49–100 (2000). http://psych.colorado.edu/ tor/Papers/Unity_Diversity_Exec_Functions.pdf. Accessed 17 Mar 2014CrossRefGoogle Scholar
  8. 8.
    Niosh, N.: The changing organization of work and the safety and health of working people. Technical report 2002-116, National Institute for Occupational Safety and Health (NIOSH) (2002)Google Scholar
  9. 9.
    Parasuraman, R., Molloy, R., Singh, I.L.: Performance consequences of automation induced complacency. Int. J. Aviat. Psychol. 3, 1–23 (1993)CrossRefGoogle Scholar
  10. 10.
    Parasuraman, R., Mouloua, M., Molloy, R.: Monitoring automation failures in human machine systems. In: Mouloua, M., Parasuraman, R. (eds.) Human Performance in Automated Systems: Curent Research and Trends, pp. 45–49. Earlbaum, Hillsdale (1994)Google Scholar
  11. 11.
    Radüntz, T.: Neuronal mental workload registration during execution of cognitive tasks. In: Harris, D. (ed.) EPCE 2014. LNCS, vol. 8532, pp. 59–69. Springer, Heidelberg (2014)Google Scholar
  12. 12.
    Radüntz, T.: Kontinuierliche Bewertung psychischer Beanspruchung an informationsintensiven Arbeitsplätzen auf Basis des Elektroenzephalogramms. Ph.D. thesis, Department of Computer Science, Humboldt-Universität zu Berlin, Berlin (2016). http://edoc.hu-berlin.de/docviews/abstract.php?id=42402
  13. 13.
    Radüntz, T., Freude, G.: Towards a continuous method for mental workload registration. In: Harris, D. (ed.) EPCE 2015. LNCS, vol. 9174, pp. 176–187. Springer, Heidelberg (2015). http://dx.doi.org/10.1007/978-3-319-20373-7_17 CrossRefGoogle Scholar
  14. 14.
    Unsworth, N., Heitz, R.P., Schrock, J.C., Engle, R.W.: An automated version of the operation span task. Behav. Res. Methods 37(3), 498–505 (2005). http://webs.wofford.edu/boppkl/coursefiles/Thesis/articles/UnsworthHeitz_2005_autoospan.pdf. Accessed 02 Apr 2014CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Unit. 3.4 ‘Mental Health and Cognitive Capacity’Federal Institute for Occupational Safety and HealthBerlinGermany

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