Abstract
Relaxation techniques can relieve us from stress, anxiety, pain and maladies. Many researchers succeed in relaxing subjects by various methods. However, few concerned about the ability of relaxation. Hence, the main goal of this study is to help people relax faster. We developed a virtual reality neurofeedback relaxation training system, called Virtual Sophrologist, which 1) immerses users in fantastic environments by a Virtual Reality headset, 2) guides users to follow the Sophrology instructions by a female voice, and 3) displays feedback in real time, which are translated from the Meditation Score collected by EEG. To evaluate this system, we recruited 6 subjects to participate in our 8-session relaxation training and collected their subjective data (by self-report) and objective data (by EEG) to measure from psychological level and to calculate the Time Interval to Relaxation that they took to reach the maximum Meditation Score. The results show 1) decreases in Anxiety and Depression Score from the psychological level, 2) a decrease in Time Interval to Relaxation and 3) an increase in the maximum Meditation Score. Therefore, our system will be useful as a training tool for users who need or want to relax fast and deep whenever they need.
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References
Selye, H.: The stress of life (1956)
McEwen, B.S., Eiland, L., Hunter, R.G., Miller, M.M.: Stress and anxiety: structural plasticity and epigenetic regulation as a consequence of stress. Neuropharmacology 62(1), 3–12 (2012)
Jraidi, I., Heraz, A., Chaouachi, M., Frasson, C.: New architecture of a multi agent system which measures the learner brainwaves to predict his stress level variation. In: Proceedings of the World Conference on 2009, pp. 2726–2733
Manzoni, G.M., Pagnini, F., Castelnuovo, G., Molinari, E.: Relaxation training for anxiety: a ten-years systematic review with meta-analysis. BMC Psychiatry 8(1), 41 (2008)
Prpa, M., Cochrane, K., Riecke, B.E.: Hacking alternatives in 21st century: designing a bio-responsive virtual environment for stress reduction. In: Serino, S., Matic, A., Giakoumis, D., Lopez, G., Cipresso, P. (eds.) MindCare 2015. CCIS, vol. 604, pp. 34–39. Springer, Cham (2016). doi:10.1007/978-3-319-32270-4_4
Perhakaran, G., Yusof, A.M., Rusli, M.E., Yusoff, M.Z.M., Mahalil, I., Zainuddin, A.R.R.: A study of meditation effectiveness for virtual reality based stress therapy using EEG measurement and questionnaire approaches. In: Innovation in Medicine and Healthcare 2015, pp. 365–373. Springer (2016)
Kosunen, I., Salminen, M., Järvelä, S., Ruonala, A., Ravaja, N., Jacucci, G.: RelaWorld: neuroadaptive and immersive virtual reality meditation system. In: Proceedings of the 21st International Conference on Intelligent User Interfaces 2016, pp. 208–217. ACM
Heller, M.C.: Body psychotherapy: History, concepts, and methods. WW Norton & Company (2012)
Caycedo, A.: Sophrology and psychosomatic medicine. American Journal of Clinical Hypnosis 7(2), 103–106 (1964)
Suzuki, M., Isonishi, S., Morimoto, O., Ogawa, M., Ochiai, K.: Effect of sophrology on perinatal stress monitored by biopyrrin (2012)
Dyé, A.: Sophrology (2015)
Sophrology. https://en.wikipedia.org/wiki/Sophrology. Accessed 2017/05/07
Oh, S.Y., Bailenson, J.: Virtual and Augmented Reality. The International Encyclopedia of Media Effects (2017)
Wiederhold, B.K.: The potential for virtual reality to improve health care. The Virtual Reality Medical Center (2006)
Malmivuo, J., Plonsey, R.: Bioelectromagnetism. Medical and Biological Engineering and Computing 34, 9–12 (1996)
EEG. https://en.wikipedia.org/wiki/Electroencephalography. Accessed 2017/05/09
Lubar, J.F., Swartwood, M.O., Swartwood, J.N., O’Donnell, P.H.: Evaluation of the effectiveness of EEG neurofeedback training for ADHD in a clinical setting as measured by changes in TOVA scores, behavioral ratings, and WISC-R performance. Applied Psychophysiology and Biofeedback 20(1), 83–99 (1995)
Chaouachi, M., Jraidi, I., Frasson, C.: MENTOR: a physiologically controlled tutoring system. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds.) UMAP 2015. LNCS, vol. 9146, pp. 56–67. Springer, Cham (2015). doi:10.1007/978-3-319-20267-9_5
Emotiv Forum: Meditation Score. https://www.emotiv.com/forums/topic/Meditation_Score/. Accessed 2017/01/20
Roo, J.S., Gervais, R., Hachet, M.: Inner garden: An augmented sandbox designed for self-reflection. In: Proceedings of the TEI 2016: Tenth International Conference on Tangible, Embedded, and Embodied Interaction 2016, pp. 570–576. ACM
Zigmond, A.S., Snaith, R.P.: The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica 67(6), 361–370 (1983)
Golding, K., Kneebone, I., Fife-Schaw, C.: Self-help relaxation for post-stroke anxiety: A randomised, controlled pilot study. Clinical Rehabilitation 1, 7 (2015)
Autogenics Training. http://www.guidetopsychology.com/autogen.htm. Accessed 2016/09/16
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Gu, G., Frasson, C. (2017). Virtual Sophrologist: A Virtual Reality Neurofeedback Relaxation Training System. In: Frasson, C., Kostopoulos, G. (eds) Brain Function Assessment in Learning. BFAL 2017. Lecture Notes in Computer Science(), vol 10512. Springer, Cham. https://doi.org/10.1007/978-3-319-67615-9_16
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DOI: https://doi.org/10.1007/978-3-319-67615-9_16
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