[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Computational Methods for the Assessment of Empathic Synchrony

  • Chapter
  • First Online:
Progresses in Artificial Intelligence and Neural Systems

Abstract

The synchronization of physiological signals between persons is a well-known proxy of empathy. However, it is also influenced by physiological and environmental factors that should be discriminated to correctly characterize the empathy component. We discuss a framework to compute synchrony and introduce physynch, an open-source package developed to easily replicate its computational procedures. We adopted physynch to study the synchrony of the electrodermal activity in 61 male-female dyads with different types of relationship: strangers (18 dyads), friends (23 dyads) and lovers (20 dyads). The findings confirm previous results on Heart Rate Variability synchrony and suggest that synchrony is influenced by the type of relationship and is stronger in dyads of strangers. physynch is made available for download and use for researchers interested in measuring physiological synchrony.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 127.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 159.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
GBP 159.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://gitlab.com/abp-san-public/physynch.

References

  1. Azhari, A., Leck, W., Gabrieli, G., Bizzego, A., Rigo, P., Setoh, P., Bornstein, M.H., Esposito, G.: Parenting stress undermines mother-child brain-to-brain synchrony: A hyperscanning study. Sci. Rep. 9(1), 1–9 (2019)

    Article  Google Scholar 

  2. Azhari, A., Lim, M., Bizzego, A., Gabrieli, G., Bornstein, M.H., Esposito, G.: Physical presence of spouse enhances brain-to-brain synchrony in co-parenting couples. Sci. Rep. 10, 75–69 (2020) https://doi.org/10.1038/s41598-020-63596-2

  3. Baker, J.M., Liu, N., Cui, X., Vrticka, P., Saggar, M., Hosseini, S.H., Reiss, A.L.: Sex differences in neural and behavioral signatures of cooperation revealed by fnirs hyperscanning. Sci. Rep. 6(26), 492 (2016)

    Google Scholar 

  4. Barsade, S.G.: The ripple effect: Emotional contagion and its influence on group behavior. Adm. Sci. Q. 47(4), 644–675 (2002)

    Article  Google Scholar 

  5. Benedek, M., Kaernbach, C.: A continuous measure of phasic electrodermal activity. J. Neurosci. Methods 190(1), 80–91 (2010)

    Article  Google Scholar 

  6. Bizzego, A., Azhari, A., Campostrini, N., Truzzi, A., Ng, L.Y., Gabrieli, G., Bornstein, M.H., Setoh, P., Esposito, G.: Strangers, friends, and lovers show different physiological synchrony in different emotional states. Behav. Sci. 10(1), 11 (2020)

    Article  Google Scholar 

  7. Bizzego, A., Battisti, A., Gabrieli, G., Esposito, G., Furlanello, C.: Pyphysio: A physiological signal processing library for data science approaches in physiology. SoftwareX 10(100), 287 (2019)

    Google Scholar 

  8. Chikersal, P., Tomprou, M., Kim, Y.J., Woolley, A.W., Dabbish, L.: Deep structures of collaboration: physiological correlates of collective intelligence and group satisfaction. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, pp. 873–888. ACM (2017)

    Google Scholar 

  9. Cirelli, L.K.: How interpersonal synchrony facilitates early prosocial behavior. Curr. Opin. Psychol. 20, 35–39 (2018)

    Article  Google Scholar 

  10. Danyluck, C., Page-Gould, E.: Social and physiological context can affect the meaning of physiological synchrony. Sci. Rep. 9(1), 8222 (2019)

    Article  Google Scholar 

  11. Feldman, R.: Bio-behavioral synchrony: A model for integrating biological and microsocial behavioral processes in the study of parenting. Parenting 12(2–3), 154–164 (2012)

    Article  Google Scholar 

  12. Gallotti, M., Frith., C.D.: Social cognition in the we-mode. Trends Cogn. Sci. 17(4), 16065 (2013)

    Google Scholar 

  13. Golland, Y., Arzouan, Y., Levit-Binnun, N.: The mere co-presence: Synchronization of autonomic signals and emotional responses across co-present individuals not engaged in direct interaction. PloS One 10(5), e0125–804 (2015)

    Google Scholar 

  14. Golland, Y., Keissar, K., Levit-Binnun, N.: Studying the dynamics of autonomic activity during emotional experience. Psychophysiology 51(11), 1101–1111 (2014)

    Article  Google Scholar 

  15. Hatfield, E., Cacioppo, J.T., Rapson, R.L.: Emotional contagion. Curr. Dir. Psychol. Sci. 2(3), 96–100 (1993)

    Article  Google Scholar 

  16. Jong, J., Whitehouse, H., Kavanagh, C., Lane, J.: Shared negative experiences lead to identity fusion via personal reflection. PloS One 10(12), e0145–611 (2015)

    Google Scholar 

  17. Kacerguis, M.A., Adams, G.R.: Erikson stage resolution: The relationship between identity and intimacy. J. Youth Adoles. 9(2), 117–126 (1980)

    Article  Google Scholar 

  18. Leclère, C., Viaux, S., Avril, M., Achard, C., Chetouani, M., Missonnier, S., Cohen, D.: Why synchrony matters during mother-child interactions: A systematic review. PloS One 9(12), e113–571 (2014)

    Google Scholar 

  19. Leong, V., Byrne, E., Clackson, K., Georgieva, S., Lam, S., Wass, S.: Speaker gaze increases information coupling between infant and adult brains. Proc. Natl. Acad. Sci. 114(50), 13290–13295 (2017)

    Article  Google Scholar 

  20. Levenson, R.W.: The autonomic nervous system and emotion. Emot. Rev. 6(2), 100–112 (2014)

    Article  Google Scholar 

  21. Mønster, D., Håkonsson, D.D., Eskildsen, J.K., Wallot, S.: Physiological evidence of interpersonal dynamics in a cooperative production task. Physiol. Behav. 156, 24–34 (2016)

    Article  Google Scholar 

  22. Papp, L.M., Pendry, P., Simon, C.D., Adam, E.K.: Spouses’ cortisol associations and moderators: Testing physiological synchrony and connectedness in everyday life. Family Process 52(2), 284–298 (2013)

    Article  Google Scholar 

  23. Park, S., Choi, S.J., Mun, S., Whang, M.: Measurement of emotional contagion using synchronization of heart rhythm pattern between two persons: Application to sales managers and sales force synchronization. Physiol. Behav. 200, 148–158 (2019)

    Article  Google Scholar 

  24. Reddish, P., Fischer, R., Bulbulia, J.: Lets dance together: synchrony, shared intentionality and cooperation. PloS One 8(8), e71–182 (2013)

    Google Scholar 

  25. Schneiderman, I., Kanat-Maymon, Y., Zagoory-Sharon, O., Feldman, R.: Mutual influences between partners hormones shape conflict dialog and relationship duration at the initiation of romantic love. Soc. Neurosci. 9(4), 337–351 (2014)

    Google Scholar 

  26. Schreiber, T., Schmitz, A.: Surrogate time series. Phys. D 142(3–4), 346–382 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  27. Shilling, C., Mellor, P.A.: Durkheim, morality and modernity: collective effervescence, homo duplex and the sources of moral action. Br. J. Sociol. 193–209 (1998)

    Google Scholar 

  28. Timmons, A.C., Margolin, G., Saxbe, D.E.: Physiological linkage in couples and its implications for individual and interpersonal functioning: A literature review. J. Family Psychol. 29(5), 720 (2015)

    Article  Google Scholar 

  29. Whitehouse, H., Lanman, J.A., Downey, G., Fredman, L.A., Swann Jr., W.B., Lende, D.H., McCauley, R.N., Shankland, D., Stausberg, M., Xygalatas, D., et al.: The ties that bind us: Ritual, fusion, and identification. Curr. Anthropol. 55(6), 000–000 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrea Bizzego .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bizzego, A., Gabrieli, G., Azhari, A., Setoh, P., Esposito, G. (2021). Computational Methods for the Assessment of Empathic Synchrony. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Progresses in Artificial Intelligence and Neural Systems. Smart Innovation, Systems and Technologies, vol 184. Springer, Singapore. https://doi.org/10.1007/978-981-15-5093-5_47

Download citation

Publish with us

Policies and ethics