Skip to main content

Social Coordination Assessment: Distinguishing between Shape and Timing

  • Conference paper
Book cover Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS 2012)

Abstract

In this paper, we propose a new framework to assess temporal coordination (synchrony) and content coordination (behavior matching) in dyadic interaction. The synchrony module is dedicated to identify the time lag and possible rhythm between partners. The imitation module aims at assessing the distance between two gestures, based on 1-Class SVM models. These measures discriminate significantly conditions where synchrony or behavior matching occurs from conditions where these phenomenons are absent. Moreover, these measures are unsupervised and could be implemented online.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Delaherche, E., Chetouani, M., Mahdhaoui, A., Saint-Georges, C., Viaux, S., Cohen, D.: Interpersonal synchrony: A survey of evaluation methods across disciplines. IEEE Transactions on Affective Computing 3(3), 349–365 (2012)

    Article  Google Scholar 

  2. Prepin, K., Pelachaud, C.: Shared understanding and synchrony emergence: Synchrony as an indice of the exchange of meaning between dialog partners. In: ICAART 2011 International Conference on Agent and Artificial Intelligence, vol. 2, pp. 25–30 (2011)

    Google Scholar 

  3. Bernieri, F., Rosenthal, R.: Interpersonal coordination: Behavior matching and interactional synchrony. In: Fundamentals of Nonverbal Behavior, pp. 401–432. Cambridge University Press (1991)

    Google Scholar 

  4. Sun, X., Nijholt, A.: Multimodal embodied mimicry in interaction. In: Esposito, A., Vinciarelli, A., Vicsi, K., Pelachaud, C., Nijholt, A. (eds.) Communication and Enactment 2010. LNCS, vol. 6800, pp. 147–153. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  5. Chartrand, T.L., Bargh, J.A.: The chameleon effect: The perception-behavior link and social interaction. Journal of Personality and Social Psychology 76(6), 893–910 (1999)

    Article  Google Scholar 

  6. Muir, D., Nadel, J.: Infant social perception. In: Slater, A. (ed.) Perceptual Development, pp. 247–285. Psychology Press (1998)

    Google Scholar 

  7. Murray, L., Trevarthen, C.: Emotional regulation of interactions between two-month-olds and their mothers. In: Field, T.M., Fox, N. (eds.) Social Perception in Infants, pp. 177–197. Ablex, Norwood (1985)

    Google Scholar 

  8. Altmann, U.: Investigation of movement synchrony using windowed cross-lagged regression. In: Esposito, A., et al. (eds.) Communication and Enactment 2010. LNCS, vol. 6800, pp. 335–345. Springer, Heidelberg (2011)

    Google Scholar 

  9. Andry, P., Gaussier, P., Moga, S., Banquet, J., Nadel, J.: Learning and communication in imitation: An autonomous robot perspective. IEEE Transactions on Systems, Man and Cybernetics, Part A 31(5), 431–444 (2001)

    Article  Google Scholar 

  10. Boucenna, S., Gaussier, P., Andry, P.: What should be taught first: the emotional expression or the face? In: 8th International Conference on Epigenetic Robotics (EPIROB), Lucs (2008)

    Google Scholar 

  11. Zhang, J., Marszałek, M., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision 73(2), 213–238 (2007)

    Article  Google Scholar 

  12. Laptev, I., Marszalek, M., Schmid, C., Rozenfeld, B.: Learning realistic human actions from movies. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 1–8 (June 2008)

    Google Scholar 

  13. Li, F.F., Perona, P.: A bayesian hierarchical model for learning natural scene categories. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, USA, pp. 524–531 (2005)

    Google Scholar 

  14. Dollr, P., Rabaud, V., Cottrell, G., Belongie, S.: Behavior recognition via sparse spatio-temporal features. In: VS-PETS, pp. 65–72 (2005)

    Google Scholar 

  15. Canu, S., Smola, A.J.: Kernel methods and the exponential family. Neurocomputing 69, 714–720 (2005)

    Article  Google Scholar 

  16. Schölkopf, B., Platt, J.C., Shawe-Taylor, J.C., Smola, A.J., Williamson, R.C.: Estimating the support of a high-dimensional distribution. Neural Comput. 13(7), 1443–1471 (2001)

    Article  MATH  Google Scholar 

  17. Kadri, H., Davy, M., Rabaoui, A., Lachiri, Z., Ellouze, N.: Robust Audio Speaker Segmentation using One Class SVMs. In: Proceedings of the EURASIP EUSIPCO 2008, Suisse (2008)

    Google Scholar 

  18. Prince, C.G., Hollich, G.J., Helder, N.A., Mislivec, E.J., Reddy, A., Salunke, S., Memon, N.: Taking synchrony seriously: A perceptual level model of infant synchrony detection. In: Proceedings of the Fourth International Workshop on Epigenetic Robotics, pp. 89–96 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Delaherche, E., Boucenna, S., Karp, K., Michelet, S., Achard, C., Chetouani, M. (2013). Social Coordination Assessment: Distinguishing between Shape and Timing. In: Schwenker, F., Scherer, S., Morency, LP. (eds) Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. MPRSS 2012. Lecture Notes in Computer Science(), vol 7742. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37081-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37081-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37080-9

  • Online ISBN: 978-3-642-37081-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics