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Rhythmic organization of social interaction and observer ratings of positive affect and involvement

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Abstract

Many investigators have speculated that a high degree of rhythmic patterning of social interaction and close coupling between the activity rhythms of partners are associated with positive affect, attachment, and interpersonal attraction. Others suggest that predictable or rhythmic patterning is an indication of inflexibility, and that close linkages between the physiological arousal of partners are associated with negative affect. In the present study, spectral and cross spectral analyses were applied to vocal activity and heart rates recorded during 12 conversations. Indexes of rhythmicity and strength of coupling were derived and used as predictors of observer ratings of pleasantness of affect and degree of involvement. There was a curvilinear relationship between affect and rhythmicity of vocal activity, such that moderately rhythmic social interactions were evaluated most positively. This relationship remained statistically significant even when other variables (such as mean and standard deviation of amount of vocal activity) were statistically controlled. Strength of coupling between partner vocal activity patterns and strength of coupling between the vocal activity and heart rate within speaker were not statistically significant predictors of ratings of pleasantness. Results suggest that there may be an optimum degree of rhythmicity in social interaction, with moderately rhythmic interactions evaluated most positively.

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References

  • Aschoff, J., Fatranska, M., Giedke, H., Doerr, P., Stamm, D., & Wisser, H. (1971). Human circadian rhythms in continuous darkness: Entrainment by social cues.Science, 171 213–215.

    Google Scholar 

  • Bakeman, R. & Brown, J. V. (1977). Behavioral dialogues: An approach to the assessment of mother-infant interaction.Child Development, 48 195–203.

    Google Scholar 

  • Bloomfield, P. (1976).Fourier analysis of time series: An introduction. New York: Wiley.

    Google Scholar 

  • Box, G. E. P. & Jenkins, G. M. (1971).Time series analysis: Forecasting and control. San Francisco: Jossey-Bass.

    Google Scholar 

  • Brown, B. L., Strong, W. L., & Rencher, R. C. (1974). Fifty-four voices from two: The effects of simultaneous manipulations of rate, mean fundamental frequency, and variance of fundamental frequency on ratings of personality from speech.Journal of the Acoustical Society of America, 55 313–318.

    Google Scholar 

  • Bunning, E. (1973).The physiological clock. (third edition) London: English Universities Press.

    Google Scholar 

  • Cacioppo, J. T. & Petty, R. E. (Eds.). (1983).Social psychophysiology: A sourcebook. New York: Guilford.

    Google Scholar 

  • Cappella, J. N. (1981). Mutual influence in expressive behavior: Adult-adult and infant-adult dyadic interaction.Psychological Bulletin, 89 101–132.

    Google Scholar 

  • Chapple, E. D. (1970).Culture and biological man: Exploration in behavioral anthropology. New York: Holt, Rinehart & Winston.

    Google Scholar 

  • Cobb, L. (1973). Time series analysis of the periodicities of casual conversation.Dissertation Abstracts International, 34, 2764A. (University Microfilms No. 73–28,286)

  • Condon, W. S. & Sander, L. W. (1974). Neonate movement is synchronized with adult speech: Interactional participation and language acquisition.Science, 183 99–101.

    Google Scholar 

  • Dabbs, J. M. (1983). Fourier analysis of the rhythm of conversation. Atlanta, GA: Georgia State University. (ERIC Document Reproduction Service No. ED 222 959)

    Google Scholar 

  • Dabbs, J. M. & Moorer, J. P. (1975). Core body temperature and social arousal.Personality and Social Psychology Bulletin, 1 517–520.

    Google Scholar 

  • Davis, M. (Ed.). (1982).Interaction rhythms: Periodicity in communicative behavior. New York: Human Sciences Press.

    Google Scholar 

  • Feldstein, S. & Sloan, B. (1984). Actual and stereotyped speech tempos of extraverts and introverts.Journal of Personality, 52 188–204.

    Google Scholar 

  • Field, T. (1985). Attachment as psychobiological attunement: Being on the same wavelength. In M. Reite & T. Field (Eds.).The psychobiology of attachment and separation. New York: Academic.

    Google Scholar 

  • Goldman-Eisler, F. (1952). Individual differences between interviewers and their effect on interviewee's conversational behavior.Journal of Mental Science, 98 660–671.

    Google Scholar 

  • Goodwin, B. (1970). Biological stability. In C. H. Waddington (Ed.).Toward a theoretical biology, Vol. 3. Chicago: Aldine.

    Google Scholar 

  • Gottman, J. M. (1979).Marital interaction: Experimental investigations. New York: Academic.

    Google Scholar 

  • Gottman, J. M. (1981).Time series analysis: A comprehensive introduction for social scientists. New York: Cambridge University Press.

    Google Scholar 

  • Hayes, D. P. & Cobb, L. (1979). Ultradian biorhythms in social interaction. In A. W. Siegman & S. Feldstein (Eds.).Of speech and time: Temporal speech rhythms in interpersonal contexts. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Hayes, D. P. & Meltzer, L. (1972). Interpersonal judgments based on talkativeness. I: Fact or artifact?Sociometry, 35 538–561.

    Google Scholar 

  • Hofer, M. A. (1984). Relationships as regulators: A psychobiologic perspective on bereavement.Psychosomatic Medicine, 46 183–197.

    Google Scholar 

  • Iberall, A. S. & McCulloch, W. S. (1969). The organizing principle of complex living systems.Journal of Basic Engineering, 91 290–294.

    Google Scholar 

  • Jaffe, J. & Feldstein, S. (1970).Rhythms of dialogue. New York: Academic.

    Google Scholar 

  • Jaffe, J., Stern, A. N., & Peery, J. C. (1973). “Conversational” coupling of gaze behavior in prelinguistic human development.Journal of Psycholinguistic Research, 2 321–328.

    Google Scholar 

  • Kaplan, H. B., Burch, N. R. & Bloom, S. W. (1964). Physiological covariation and sociometric relationship in small peer groups. In P. H. Liederman and D. Shapiro (Eds.).Psychobiological approaches to social behavior. Stanford, CA: Stanford University Press.

    Google Scholar 

  • Kimberly, R. P. (1970). Rhythmic patterns in human interaction.Nature, 228 88–90.

    Google Scholar 

  • Koopmans, L. H. (1974).The spectral analysis of time series. New York: Academic Press.

    Google Scholar 

  • Lester, B. M., Hoffman, I. & Brazelton, T. B. (1985). The rhythmic structure of mother-infant interaction in term and preterm infants.Child Development, 56 15–27.

    Google Scholar 

  • Levenson, R. W. & Gottman, J. M. (1983). Marital interaction: Physiological linkage and affective exchange.Journal of Personality and Social Psychology, 45, 587–597.

    Google Scholar 

  • Lund, R. (1974). Personality factors and desynchronization of circadian rhythms.Psychosomatic Medicine, 36, 224–228.

    Google Scholar 

  • Lynch, J. J. (1985).The language of the heart. New York: Basic Books.

    Google Scholar 

  • Maxim, P. E., Bowden, D. M. & Sackett, G. P. (1976). Ultradian rhythms of solitary and social behavior in rhesus monkeys.Physiology and Behavior, 17, 337–344.

    Google Scholar 

  • McClintock, M. (1971). Menstrual synchrony and suppression.Nature, 229, 244–245.

    Google Scholar 

  • Pittendrigh, C. S. (1975). Circadian oscillations in cells and circadian organization of multicellular systems. In C. S. Pittendrigh (Ed.).Circadian oscillations and organization in nervous systems. Cambridge, MA: MIT Press.

    Google Scholar 

  • Porges, S. W., Bohrer, R. E., Cheung, M. N., Drasgow, F., McCabe, P. M. & Keren, G. (1980). New time-series statistics for detecting rhythmic co-occurrence in the frequency domain: The weighted coherence statistic and its application to psychophysiological research.Psychological Bulletin, 88, 580–587.

    Google Scholar 

  • Scherer, K. & Giles, H. (1979).Social markers in speech. Cambridge: Cambridge University Press.

    Google Scholar 

  • Thrall, T. & Engleman, L. (1981). Univariate and bivariate spectral analysis. In W. Dixon et al., (Eds.).Biomedical Computer Programs. Berkeley: CA: University of California Press.

    Google Scholar 

  • Wade, M. G., Ellis, M. J., & Bohrer, R. E. (1973). Biorhythms in the activity of children during free play.Journal of the Experimental Analysis of Behavior, 20, 155–162.

    Google Scholar 

  • Waid, W. M. (Ed.). (1984)Sociophysiology. New York: Springer-Verlag.

    Google Scholar 

  • Warner, R. M. (1979). Periodic rhythms in conversational speech.Language and Speech, 22, 381–396.

    Google Scholar 

  • Warner, R. M., Kenny, D. A., & Stoto, M. (1979). A new round robin analysis of variance for social interaction data.Journal of Personality and Social Psychology, 37, 1742–1757.

    Google Scholar 

  • Warner, R. M., Waggener, T. B. & Kronauer, R. L. (1983). Synchronized cycles in ventilation and vocal activity during spontaneous conversational speech.Journal of Applied Physiology: Respiratory, Environmental and Exercise Physiology, 54, 1324–1334.

    Google Scholar 

  • Wehr, T. A. & Goodwin, F. K. (Eds.).Circadian rhythms in psychiatry. Psychobiology and Psychopathology, Vol. 2. Pacific Grove, CA: Boxwood Press.

  • Winfree, A. T. (1975). Unclocklike behavior of biological clocks.Nature, 253, 315–319.

    Google Scholar 

  • Yates, F. E. (1974). Modeling periodicities in reproductive, adrenocortical and metabolic systems. In M. Ferin, F. Halberg, R. N. Richart, & R. L. Van de Wiele (Eds.).Biorhythms and human reproduction. New York: Wiley.

    Google Scholar 

  • Young, M. & Ziman, J. (1971). Cycles in social behavior.Nature, 229, 91–95.

    Google Scholar 

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We gratefully acknowledge support from the Central University Research Fund and from the Office of the Dean of Liberal Arts at the University of New Hampshire. Thanks to Kim Mooney, Charles Dufour, Mark Henn and Jay Goober for their contribution in developing the coding system.

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Warner, R.M., Malloy, D., Schneider, K. et al. Rhythmic organization of social interaction and observer ratings of positive affect and involvement. J Nonverbal Behav 11, 57–74 (1987). https://doi.org/10.1007/BF00990958

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