DanSync: A Platform to Study Entrainment and Joint-Action during Spontaneous Dance in the Context of a Social Music Game

  • Michiel Demey
  • Chris Muller
  • Marc Leman
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 124)

Abstract

This paper presents a social music game, named DanSync, as a platform to study joint-action. This game context proves to be an effective manner to study spontaneous dance of players in a laboratory setting. Because of the gameplay participants are engaged in dancing to music with a strong motivation. Performance of dance synchronization to music is studied throughout the gameplay. Joint-action in a dyad is quantified in terms of correlation and phase-locking. Furthermore, entrainment and social bonding in small groups is studied by introducing perturbations in the music stimulus.

Keywords

Entrainment gaming music 
This is a preview of subscription content, log in to check access.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Schmidt, R., Richardson, M.: Dynamics of interpersonal coordination. In: Coordination: Neural, Behavioral and Social Dynamics, pp. 281–308 (2008)Google Scholar
  2. 2.
    Phillips-Silver, J., Keller, P.: Searching for roots of entrainment and joint action in early musical interactions. Frontiers in Human Neuroscience 6 (2012)Google Scholar
  3. 3.
    Marsh, K., Richardson, M., Schmidt, R.: Social connection through joint action and interpersonal coordination. Topics in Cognitive Science 1(2), 320–339 (2009)CrossRefGoogle Scholar
  4. 4.
    Schmidt, R., Fitzpatrick, P., Caron, R., Mergeche, J.: Understanding social motor coordination. Human Movement Science 30(5), 834–845 (2011)CrossRefGoogle Scholar
  5. 5.
    Kelso, J., Del Colle, J., Schöner, G.: Action-perception as a pattern formation process. In: Attention and Performance 13: Motor Representation and Control, pp. 139–169 (1990)Google Scholar
  6. 6.
    McNeill, W., McNeill, W.: Keeping together in time: Dance and drill in human history. Harvard University Press (1997)Google Scholar
  7. 7.
    Johnston, L., Miles, L., Richardson, M., Schmidt, R., Marsh, K., Yabar, Y.: Implicit mimicry and synchronization: Impact of and on liking. In: North American Meeting of the International Society for Ecological Psychology, University of Cincinnati, Cincinnati, OH (2006)Google Scholar
  8. 8.
    Schmidt, R., Christianson, N., Carello, C., Baron, R.: Effects of social and physical variables on between-person visual coordination. Ecological Psychology 6(3), 159–183 (1994)CrossRefGoogle Scholar
  9. 9.
    Hove, M., Iversen, J., Zhang, A., Repp, B.: Synchronization with competing visual and auditory rhythms: Bouncing ball meets metronome. Psychological Research, 1–11 (2012)Google Scholar
  10. 10.
    Repp, B.: Sensorimotor synchronization: A review of the tapping literature. Psychonomic Bulletin & Review 12(6), 969–992 (2005)CrossRefGoogle Scholar
  11. 11.
    Woolhouse, M., Tidhar, D.: Group dancing leads to increased person-perception. In: Proceedings of the 11th International Conference on Music Perception and Cognition (ICMPC 2011), Seattle, USA, pp. 605–608 (2010)Google Scholar
  12. 12.
    Richardson, M., Marsh, K., Isenhower, R., Goodman, J., Schmidt, R.: Rocking together: Dynamics of intentional and unintentional interpersonal coordination. Human Movement Science 26(6), 867–891 (2007)CrossRefGoogle Scholar
  13. 13.
    Demos, A., Chaffin, R., Begosh, K., Daniels, J., Marsh, K.: Rocking to the beat: Effects of music and partner’s movements on spontaneous interpersonal coordination. Journal of Experimental Psychology: General 141(1), 49–53 (2012)CrossRefGoogle Scholar
  14. 14.
    Schmidt, R., O’Brien, B.: Evaluating the dynamics of unintended interpersonal coordination. Ecological Psychology 9(3), 189–206 (1997)CrossRefGoogle Scholar
  15. 15.
    Clayton, M.: Observing entrainment in music performance: Video-based observational analysis of indian musicians’ tanpura playing and beat marking. Musicae Scientiae 11(1), 27–59 (2007)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Demey, M., Leman, M., Bossuyt, F., Vanfleteren, J.: The musical synchrotron: Using wireless motion sensors to study how social interaction affects synchronization with musical tempo. In: Proceedings of the 8th International Conference on New Interfaces for Musical Expression (2008)Google Scholar
  17. 17.
    Deweppe, A., Leman, M., Lesaffre, M.: Establishing usability for interactive music applications that use embodied mediation technology. In: Proceedings of the 2009 European Society for the Cognitive Sciences of Music Conference (ESCOM) (2009)Google Scholar
  18. 18.
    Leman, M., Demey, M., Lesaffre, M., Van Noorden, L., Moelants, D.: Concepts, technology, and assessment of the social music game sync-in-team. In: Proceedings of the 2009 International Conference on Computational Science and Engineering, vol. 4, pp. 837–842. IEEE Computer Society (2009)Google Scholar
  19. 19.
    De Nies, T., Van de Walle, R., Vervust, T., Vanfleteren, J., Demey, M., Leman, M.: Beatled - the social gaming partyshirt. In: Proceedings of the SMC 2011 - 8th Sound and Music Computing Conference, Padova - Italy, July 06-09, pp. 2011–2018 (2011)Google Scholar
  20. 20.
    Boker, S., Rotondo, J., Xu, M., King, K.: Windowed cross-correlation and peak picking for the analysis of variability in the association between behavioral time series. Psychological Methods 7(3), 338 (2002)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Michiel Demey
    • 1
  • Chris Muller
    • 1
  • Marc Leman
    • 1
  1. 1.IPEM, Dept. of MusicologyGhent UniversityBelgium

Personalised recommendations