The Formation of Mutual Understanding in Conversation: An Embodied Approach
Authors: Haruo Okabayashi
The mutual understanding in conversation is very important for human relations. This study investigates the mental function of the formation of mutual understanding between two people in conversation using the embodied approach. Forty people participated in this study. They are divided into pairs randomly. Four conversation situations between two (make/listen to fun or pleasant talk, make/listen to regrettable talk) are set for four minutes each, and the finger plethysmogram (200 Hz) of each participant is measured. As a result, the attractors of the participants who reported “I did not understand my partner” show the collapsed shape, which means the fluctuation of their rhythm is too small to match their partner’s rhythm, and their cross correlation is low. The autonomic balance of both persons tends to resonate during conversation, and both LLEs tend to resonate, too. In human history, in order for human beings as weak mammals to live, they may have been with others; that is, they have brought about resonating characteristics, which is called self-organization. However, the resonant feature sometimes collapses, depending on the lifestyle that the person was formed by himself after birth. It is difficult for people who do not have a lifestyle of mutual gaze to resonate their biological signal waves with others’. These people have features such as anxiety, fatigue, and confusion tendency. Mutual understanding is thought to be formed as a result of cooperation between the features of self-organization of the persons who are talking and the lifestyle indicated by mutual gaze. Such an entanglement phenomenon is called a nonlinear relation. By this research, it is found that the formation of mutual understanding is expressed by the rhythm of a biological signal showing a nonlinear relationship.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1129091Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 904
 T. Pavlidis, Biological Oscillators – Their Mathematical Analysis. New York: Academic Press, 1973.
 Y. Kuramoto, Chemical Oscillations, Waves, and Turbulence. Mineola, New York: Dover Publications, 1984.
 Y. Kuramoto, Nonlinear Science: Synchronized World. Tokyo: Shueisha, 2014.
 K.G. Pearson, “Proprioceptive regulation of locomotion,” Current Opinion Neurobiology, vol.5, pp. 786-791, 1995.
 H. Koori and Y. Morita, Dynamical system approach to biological rhythms. Tokyo: Kyoritsu-pub., 2011.
 I. Cygankiewicz, W. Zareba, R. Vazquez, M. Vallverdu, J.R. Gonzalez-Juanatey, M. Valdes, J. Almendral, J. Cinca, P. Caminal, and A.B. de Luna, “Heart rate turbulence predicts all-cause mortality and sudden death in congestive heart failure patients,” Heart Rhythm, vol.5, no.8, pp. 1095-1102, 2008.
 M, Oyama, Fluctuation of Biological Signal. Tokyo: Shodensha, 2012.
 B. Pomeranz, R.J. Macaulay, M.A. Caudill, L. Kutz, D. Adam, D. Gordon, K.M. Kilborn, A.C. Barger, D.C. Shannon, R.J. Cohen, and H. Benson, “Assessment of autonomic function in humans by heart rate spectral analysis,” American Journal of Physiology-Heart and Circulatory Physiology, Vol. 248, pp. H151-H153, 1998.
 T. Fuwa, “The accuracy of evaluation of autonomic nervous system activity by heart rate variability under natural respiration and controlled respiration,” Bulletin of Polytechnic University, no. 41-A, pp.7-12, 2012.
 H. Okabayashi, “The relationship between fluctuation of biological signal: Finger plethysmogram in conversation and anthropophobic tendency,” International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, vol. 10, no. 9, pp.3012-3016, 2016.
 X. Zeng, R. Eykholt, and R.A. Pielke, “Estimating the Lyapunov-exponent spectrum from short time series of low precision.” Physical Review Letters, vol.66, no.25, pp. 3229-3232, 1991.
 S. Baron-Cohen, “How to build a baby that reads minds: Cognitive mechanisms in mindreading,” Cahiers de Psychologie Cognitive, vol. 13, pp.513-552, 1994.
 S. Barron-Cohen, Mindblindness: An Essay on Autism and Theory of Mind. Cambridge, MA: MIT Press, 1995.
 D. Perrett, and N.J. Emery, “Understanding the intentions of others from visual signals: Neuropsychological evidence,” Cahiers de Psychologie Cognitive, vol. 13, pp.683-694, 1994.
 N. Mukawa, “Survey; Role of gaze in communication: How are intentions and feelings conveyed by gaze?,” Institute of Electronics, Information, and Communication Engineers, vol. 85, pp.756-760, October 2002.
 A.T. Winfree, The Geometry of Biological Time 2nd ed. New York: Springer-Verlag, 2001.
 S. Kai, “Stochastic resonance in life,” in The World of Rhythmic Phenomena, Y. Kuramoto, Ed. Tokyo: University of Tokyo Press, 2005, pp. 39-95.
 A.T. Winfree, “Biological rhythms and the behavior of populations of coupled oscillators,” Journal of Theoretical Biology, vol. 16, pp.15-42, 1967.
 F. Takens, “Detecting strange attractors in turbulence,” Lecture Notes in Mathematics, 898, Berlin: Springer-Verlag, 1981.
 M. Yamada, “Analysis of head and eye co-ordination when viewing targets on a two-dimensional plane,” Institute of Electronics, Information and Communication Engineers, vol. J 75-D-II, pp.971-981, May 1992.
 D.M. McNair, M. Lorr, and L.F. Droppleman, EITS Manual for Profile of Mood States. San Diego, CA: Education and Industrial Testing Service, 1971.
 M.D. Lewis and I. Granic, “A new approach to the study of emotional development,” in Emotion, Development, and Self-organization, M.D. Lewis and I. Granic Eds. Cambridge, UK: Cambridge University Press, 2000, pp.1-12.
 J.P. Marshal, “Neuroscience, embodiment, and development,” in Handbook of Child Psychology and Developmental Science: Theory and Method, 7th ed. vol. 1, R.M. Lerner, W.F. Overton, and P.C.M. Molenaar, Eds. Wiley, 2015, pp. 244-283.