Conscious and Unconscious Responses as Independent Components of a Person’s Current Psychophysiological State

Authors

  • Viktor A. , Minkin Deputy Director of Elsys Corp, Saint-Petersburg, Russia. Author
  • Ekaterina M. Myasnikova PhD in Physics and Mathematics, Leading Researcher of Research Department of the Nanosystems Interdisciplinary Studies, Saint-Petersburg State Polytechnic University, Saint-Petersburg, Russia Author
  • Yana N. Nikolaenko PhD in Psychology, Associate Professor of Department of Special Psychology, Institute of Special Education and Special Psychology, Saint-Petersburg, Russia Author

DOI:

https://doi.org/10.61841/xh1rvf91

Keywords:

Conscious, vibraimage, psychophysiological state, vestibulo-emotional reflex

Abstract

A person’s conscious and unconscious responses are defined in reaction to the presentation of oppositional stimuli in the process of testing multiple intelligences. The unconscious response is measured with the use of vibraimage technology, which allows quantifying the psychophysiological state.

The aim of the article is to show the feasibility of using the periodic presentation of opposite stimuli to control a person’s psychophysiological state.

Materials and methods: Organizational, empirical, and statistical methods used for the study of 574 people aged 14 to 55 years of the humanities and classical technical specialties and from different countries. The developed methodology allows one to jointly analyze the process of conscious and unconscious responses, reducing them to a single characteristic of personality or psychophysiological state.

Results: It was established that conscious and unconscious responses complement each other in the absence of intercorrelation. The proven lack of correlation between a person’s conscious and unconscious response to a stimulus is direct evidence of the ability to conscientiously process these reactions, which is the basis for obtaining the multiple intelligence profile. The identified dependence of psychophysiological control allows one to reconsider the practical methods of conducting interviews and surveys, as well as the prediction of abilities, lie detection, and the more effective choice of stimuli sequences when conducting profiling.

Conclusion: The high efficiency of the vibraimage technology demonstrates that the conscious and unconscious responses complement each other and do not correlate with each other. The cybernetic approach to a person allows bringing humanity to a new stage of evolution and understanding of its place in physical nature., unconscious.

Downloads

Download data is not yet available.

References

1. Backster, C. (1963). Polygraph professionalization through technique standardization. Law and Order; 11(4), 63-64.

2. Baevsky, R. M., & Chernikova, A. G. (2017). Heart rate variability analysis: physiological foundations and main methods. Cardiometry. DOI:10.12710/cardiometry.2017.6676

3. Baur, D. J. (2006). Federal Psychophysiological Detection of Deception Examiner Handbook. Counterintelligence Field Activity Technical Manual. https://antipolygraph.org/documents/federal-polygraph-handbook-02-10-2006.pdf

4. Bendat, J. S., & Piersol, A. G. (1986). Random data: analysis and measurement procedures. John Wiley & Sons. https://doi.org/10.1080/00207176608921391

5. Bernstein, N. (1967). The Coordination and Regulation of Movements Pergamon Press. DOI: https://doi.org/10.1016/0022-510X(68)90166-4

6. Berntson, G. G., Thomas Bigger Jr, J., Eckberg, D. L., Grossman, P., Kaufmann, P. G., Malik, M., ... & Van Der Molen, M. W. (1997). Heart rate variability: origins, methods, and interpretive caveats. Psychophysiology, 34(6), 623-648. https://doi.org/10.1111/j.1469-8986.1997.tb02140.x

7. Ceaser, T. G. (2012). The estimation of caloric expenditure using three triaxial accelerometers. https://trace.tennessee.edu/utk_graddiss/1514/

8. Cleeremans, A. (2014). Connecting conscious and unconscious processing. Cognitive science, 38(6), 1286-

1315., DOI: 10.1111/cogs.12149

9. Dar, M. R., & Rather, A. R. (2019). Chronobiology and Its General Perspectives. Chronobiology and Its General Perspectives [Online First], IntechOpen. DOI: 10.5772/intechopen.86629

10. Darwin, C.(1872). The expression of the emotions in man and animals. Oxford University Press, USA. http://darwin-online.org.uk/content/frameset?itemID=F1142&viewtype=text&pageseq=1

11. Dimberg, U., Thunberg, M., & Elmehed, K. (2000). Unconscious facial reactions to emotional facial expressions. Psychological science, 11(1), 86-89. DOI: 10.1111/1467-9280.00221

12. Eimer, M., & Schlaghecken, F. (2002). Links between conscious awareness and response inhibition: Evidence from masked priming. Psychonomic bulletin & review, 9(3), 514-520. https://doi.org/10.3758/BF03196307

13. Ernst, G. (2017). Heart-Rate variability—More than Heart Beats?. Frontiers in public health, 5, 240. DOI: 10.3389/fpubh.2017.00240

14. Fahrenfort, J. J. (2009). Conscious and unconscious vision (p. 137). Universiteit van Amsterdam

15. https://pure.uva.nl/ws/files/896257/70171_04.pdf

16. Fleishman, A. N., Korablina, T. V., Petrovsky, S. A., & Martynov, I. D. (2014). Complex structure and the nonlinear behavior of very low frequency of heart rate variability: models of analysis and practical application. News of higher educational institutions. Applied nonlinear dynamics, 22(1), 55-70. DOI: 10.18500/0869-6632-2014-22-1-55-70

17. Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. Basic Book: New York. https://doi.org/10.1177/001698628502900212

18. Gardner, H. (2008). The five minds for the future. Schools, 5(1/2), 17-24. https://doi.org/10.1086/591814

19. Gardner, Н. (2011). The Theory of Multiple Intelligences: As Psychology, As Education, As Social Science. José Cela University: Madrid.

20. https://howardgardner01.files.wordpress.com/2012/06/473-madrid-oct-22-2011.pdf

21. Hanson, H. M., Yang, P. H., Khan, K. M., Liu-Ambrose, T., & Ashe, M. C. (2014). Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis. European Review of Aging and Physical Activity, 11(1), 35. DOI 10.1007/s11556-013-0132-x

22. Grippo, A. J. (2017). Opinion: “Heart rate variability, health and well-being: A systems perspective” research topic. Frontiers in public health, 5, 246. DOI: 10.3389/fpubh.2017.00246

23. Halberg, F. (1987). Perspectives of chronobiologic engineering. In Chronobiotechnology and Chronobiological Engineering (pp. 1-46). Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3547-1_1

24. Janssen, M. B. (2009). Conscious and Unconscious Facial Processing in Impulsive Aggressive Men and Depressed Men and Women (Master's thesis). https://dspace.library.uu.nl/handle/1874/32355

25. Jiang, L., Stocco, A., Losey, D. M., Abernethy, J. A., Prat, C. S., & Rao, R. P. (2019). BrainNet: a multi-person brain-to-brain interface for direct collaboration between brains. Scientific reports, 9(1), 6115. DOI:10.1038/s41598-019-41895-7

26. Minkin, V., & Myasnikova, E. M. (2018). Using Vibraimage Technology to Analyze the Psychophysiological State of a Person during Opposite Stimuli Presentation. Journal of Behavioral and Brain Science, 8(05), 218. DOI: 10.4236/jbbs.2018.85015

27. Minkin, V., & Nikolaenko, Y. (2017). Application of New Concept for Multiple Intelligences Calculation for Personality and Social Groups Comparison Research. Journal of Behavioral and Brain Science, 7(10),

447. DOI: 10.4236/jbbs.2017.710032

28. Minkin, V. (2009). Russia patent RU 2510238 Method for obtaining information on psychophysiological state of living being. http://www.freepatent.ru/patents/2510238

29. Minkin, V. A. (2018, June). The history and future of vibraimage technology. In Modern Psychophysiology. The Vibraimage Technology: Proceedings of the 1st International Conference (pp. 125-129). DOI: 10.25696/ELSYS.VC1.EN.1.

30. Minkin, V. A., & Nikolaenko, N. N. (2008). Application of vibraimage technology and system for analysis of motor activity and study of functional state of the human body. Biomedical Engineering, 42(4), 196-200. https://doi.org/10.1007/s10527-008-9045-9

31. Minkin, V. A., & Nikolaenko, Y. N. (2017). Vibraimage and multiple intelligence. St. Petersburg: Renome. DOI: 10.25696/ELSYS.B.EN.VIMI.2017

32. Minkin, V. A., & Shtam, A. I. (2008). U.S. Patent No. 7346227. Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US7346227B2/en

33. Minkin, V. A. (2018). Russia patent RU 2017109920 A method for assessing a person's psychophysiological state. https://patents.google.com/patent/RU2017109920A/ru

34. Minkin, V. A. (2017). Vibraimage. St. Petersburg: Renome. DOI: 10.25696/ELSYS.B.EN.VI.2017

35. Ogorevc, J., Geršak, G., Novak, D., & Drnovšek, J. (2013). Metrological evaluation of skin conductance measurements. Measurement, 46(9), 2993-3001. https://doi.org/10.1016/j.measurement.2013.06.024

36. Pavlov, P. I. (1927). Conditioned reflexes: an investigation of the physiological activity of the cerebral cortex. Annals of neurosciences. DOI: 10.5214/ans.0972-7531.1017309

37. Railo, H. (2012). Neural mechanisms underlying conscious and unconscious vision. Evidence from event-related potentials and transcranial magnetic stimulation. B(Vol. 362) https://www.utupub.fi/handle/10024/90278

38. Reddy, P., Zehring, W. A., Wheeler, D. A., Pirrotta, V., Hadfield, C., Hall, J. C., & Rosbash, M. (1984). Molecular analysis of the period locus in Drosophila melanogaster and identification of a transcript involved in biological rhythms. Cell, 38(3), 701-710. https://doi.org/10.1016/0092-8674(84)90265-4

39. Sechenov, I. M. (1965). Reflexes of the brain (Vol. 28). Cambridge, Mass.: MIT Press. https://mitpress.mit.edu/books/reflexes-brain

40. Shannon, C. E. (1948). A mathematical theory of communication. Bell system technical journal, 27(3), 379-423. DOI: /abs/10.1002/j.1538-7305.1948.tb01338.x

41. Simoes, E. A., Roark, R., Berman, S., Esler, L. L., & Murphy, J. (1991). Respiratory rate: measurement of variability over time and accuracy at different counting periods. Archives of disease in childhood, 66(10), 1199-1203. DOI: 10.1136/adc.66.10.1199

42. Spearman, C. (1904). General Intelligence. American Journal of Psychology. https://psycnet.apa.org/record/2006-10257-006

43. Stein, S. J., & Book, H. E. (2000). The EQ edge: Emotional intelligence and your success Stoddart Publishing. http://en.bookfi.net/book/1166807

44. Sternberg, R. J. (1975). The Evolution of Intelligence. Lawrence Erlbaum Associates: Mahwah. https://www.questia.com/library/107594512/the-evolution-of-intelligence

45. Tatum, W. O. (Ed.). (2014). Handbook of EEG interpretation. Demos Medical Publishing. https://cutt.ly/CeXo5Wm

46. Kasteleijn-Nolst Trenité, D. G. A., Binnie, C. D., Harding, G. F. A., Wilkins, A., Covanis, T., Eeg-Olofsson, O., ... & Da Silva, F. H. (1999). Photic stimulation — standardization of screening methods. Neurophysiol Clin, 29, 318. https://doi.org/10.1016/S0987-7053(99)90045-X

47. Kasteleijn-Nolst Trenité, D., Rubboli, G., Hirsch, E., Martins da Silva, A., Seri, S., Wilkins, A., ... & Stephani, U. (2012). Methodology of photic stimulation revisited: updated European algorithm for visual stimulation in the EEG laboratory. Epilepsia, 53(1), 16-24. DOI:10.1111/j.1528-1167.2011.03319.x

48. Vibra MI.(2018). System of psychophysiological profiling. Elsys Corp publishing, SPb. https://www.psymaker.com/downloads/VibraMIEng.pdf

49. Wiener, N. (1948). Cybernetics or Control and Communication in the Animal and the Machine. Technology Press. https://uberty.org/wp-content/uploads/2015/07/Norbert_Wiener_Cybernetics.pdf

Downloads

Published

31.10.2020

How to Cite

Minkin, V. A. , Myasnikova, E. M., & Nikolaenko, Y. N. (2020). Conscious and Unconscious Responses as Independent Components of a Person’s Current Psychophysiological State. International Journal of Psychosocial Rehabilitation, 24(8), 11127-11144. https://doi.org/10.61841/xh1rvf91