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Heart Rate Variability Analysis and Performance during a Repeated Mental Workload Task

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Abstract

We designed and conducted an experiment using a repetitive task to investigate associations between mental workload, performance, and Heart Rate Variability (HRV) features across repetitions. According to the literature, we define mental workload as the interaction between a person and a task that causes task demands to exceed the person’s capacity to deliver. Mental workload was triggered by the use of a highly-paced video game repeated over time. Before engaging with the task, each subject was assessed in controlled condition (i.e., relaxing period) for a short time. Short term HRV features variations between the baseline (i.e., control situation) and each repetitive gaming session (i.e., mental task) were explored. The results show that HRV dynamics diminish with repetitions, while performance increases. Importantly, this suggests that HRV features can be well correlated with performance. Overall, this study advances the use of HRV analysis in the behavioral sciences at large, allowing the design of flexible neurophysiological lab-based experiments. Thus, it also opens the way to future autonomic behavioral neuroscience research.

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References

  • [1] S. Massaro and L. Pecchia, “Heart Rate Variability (HRV) Analysis A Methodology for Organizational Neuroscience,” Organizational Research Methods, p. 1094428116681072, 2016.

    Google Scholar 

  • [2] G. N. Yannakakis, H. P. Martinez, and M. Garbarino, “Psychophysiology in games,” in Emotion in Games, ed: Springer, 2016, pp. 119-137.

    Google Scholar 

  • [3] J. M. Kivikangas, G. Chanel, B. Cowley, I. Ekman, M. Salminen, S. Järvelä, et al., “A review of the use of psychophysiological methods in game research,” journal of gaming & virtual worlds, vol. 3, pp. 181-199, 2011.

    Google Scholar 

  • [4] R. Castaldo, P. Melillo, U. Bracale, M. Caserta, M. Triassi, and L. Pecchia, “Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis,” Biomedical Signal Processing and Control, vol. 18, pp. 370-377, 2015.

    Google Scholar 

  • [5] P. S. Tsang and M. A. Vidulich, “Mental workload and situation awareness,” Handbook of Human Factors and Ergonomics, Third Edition, pp. 243-268, 2006.

    Google Scholar 

  • [6] S. Hébert, R. Béland, O. Dionne-Fournelle, M. Crête, and S. J. Lupien, “Physiological stress response to video-game playing: the contribution of built-in music,” Life sciences, vol. 76, pp. 2371-2380, 2005.

    Google Scholar 

  • [7] R. A. Henning, W. Boucsein, and M. C. Gil, “Social–physiological compliance as a determinant of team performance,” International Journal of Psychophysiology, vol. 40, pp. 221-232, 2001.

    Google Scholar 

  • [8] R. A. Henning and S. L. Sauter, “Work-physiological synchronization as a determinant of performance in repetitive computer work,” Biological psychology, vol. 42, pp. 269-286, 1996.

    Google Scholar 

  • [9] P. Lehrer, M. Karavidas, S.-E. Lu, E. Vaschillo, B. Vaschillo, and A. Cheng, “Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study,” International Journal of Psychophysiology, vol. 76, pp. 80-87, 2010.

    Google Scholar 

  • [10] S. H. Fairclough, L. Venables, and A. Tattersall, “The influence of task demand and learning on the psychophysiological response,” International Journal of Psychophysiology, vol. 56, pp. 171-184, 2005.

    Google Scholar 

  • [11] A. L. Goldberger, L. A. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, et al., “Physiobank, physiotoolkit, and physionet components of a new research resource for complex physiologic signals,” Circulation, vol. 101, pp. e215-e220, 2000.

    Google Scholar 

  • [12] M. P. Tarvainen and J.-P. Niskanen, “Kubios HRV User’s Guide,” Biosignal Analysis and Medical Imaging Group (BSAMIG), Department of Physics University of Kuopio, 2013.

    Google Scholar 

  • [13] T. Force, “Heart rate variability guidelines: Standards of measurement, physiological interpretation, and clinical use,” European Heart Journal, vol. 17, pp. 354-381, 1996.

    Google Scholar 

  • [14] P. Melillo, M. Bracale, and L. Pecchia, “Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination,” BioMedical Engineering OnLine, vol. 10, pp. 1-13, 2011/11/07 2011.

    Google Scholar 

  • [15] B. Cinaz, R. La Marca, B. Arnrich, and G. Tröster, “Monitoring of mental workload levels,” in Proceedings of IADIS eHealth conference, 2010, pp. 189-193.

    Google Scholar 

  • [16] B. Cinaz, B. Arnrich, R. La Marca, and G. Tröster, “Monitoring of mental workload levels during an everyday life office-work scenario,” Personal and ubiquitous computing, vol. 17, pp. 229-239, 2013.

    Google Scholar 

  • [17] J. Paxion, E. Galy, and C. Berthelon, “Mental workload and driving,” Frontiers in psychology, vol. 5, 2014.

    Google Scholar 

  • [18] F. E. Ritter and L. J. Schooler, “The learning curve,” International encyclopedia of the social and behavioral sciences, vol. 13, pp. 8602-8605, 2001.

    Google Scholar 

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Castaldo, R., Montesinos, L., Wan, T.S., Serban, A., Massaro, S., Pecchia, L. (2018). Heart Rate Variability Analysis and Performance during a Repeated Mental Workload Task. In: Eskola, H., Väisänen, O., Viik, J., Hyttinen, J. (eds) EMBEC & NBC 2017. EMBEC NBC 2017 2017. IFMBE Proceedings, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-10-5122-7_18

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  • DOI: https://doi.org/10.1007/978-981-10-5122-7_18

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  • Print ISBN: 978-981-10-5121-0

  • Online ISBN: 978-981-10-5122-7

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