Group synchronization of coordinated movements in a cross-cultural choir workshop

Group synchronisation in choir performance was studied using motion capture. The choir consisted of South-African experts and Finnish novices. 4+4 participants’ movements were recorded during a performance of a traditional song and choreography. The aim of the study was to: 1) describe possible differences in movement implementation between the two groups; 2) investigate synchronicity between all participants and within and between each of the two groups; 3) visualise the dynamics of interpersonal influence. Preliminary results indicate that simple indicators such as cumulative distance and position as a function of time reveal differences in implementation of choreography between the groups. Movements were very synchronous, but cross-correlations of the vertical velocities of markers revealed a subtle phase difference between individuals and shows that the expert group was more coherent than the novices, as was expected. This could be due to having more attentional resources to spend on coordination, as the musical and movement material is more familiar to the experts than the novices. Finally, the interpersonal interaction was visualised using windowed cross-correlation. This suggests that the temporal relationship of movements reflects the participants’ mutual adaptation to each other’s subtle timing perturbations, and that this adaptation is a

[1]  Tommi Himberg Co-operative tapping and collective time-keeping - differences of timing accuracy in duet performance with human or computer partner , 2006 .

[2]  K. Scherer,et al.  Automated Analysis of Body Movement in Emotionally Expressive Piano Performances , 2008 .

[3]  Elaine King,et al.  The roles of student musicians in quartet rehearsals , 2006 .

[4]  Daniel Leech-Wilkinson,et al.  European Society for the Cognitive Sciences of Music (ESCOM) , 1991 .

[5]  J. Grizzle,et al.  On numerical differentiation algorithms for nonlinear estimation , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[6]  Petri Toiviainen,et al.  MIR in Matlab (II): A Toolbox for Musical Feature Extraction from Audio , 2007, ISMIR.

[7]  E. Large,et al.  The dynamics of attending: How people track time-varying events. , 1999 .

[8]  R. Beck,et al.  Choral Singing, Performance Perception, and Immune System Changes in Salivary Immunoglobulin A and Cortisol , 2000 .

[9]  Alexander Refsum Jensenius,et al.  Developing Tools for Studying Musical gestures within the Max/MSP/jitter Environment , 2005, ICMC.

[10]  Rudolf Rasch,et al.  Timing and synchronization in ensemble performance. , 1988 .

[11]  Marcelo M. Wanderley,et al.  The Musical Significance of Clarinetists' Ancillary Gestures: An Exploration of the Field , 2005 .

[12]  M. Tomasello,et al.  Shared intentionality. , 2007, Developmental science.

[13]  Peter E. Keller,et al.  Attending in Complex Musical Interactions: The Adaptive Dual Role of Meter , 1999 .

[14]  Jane Ginsborg,et al.  Shared performance cues in singing and conducting: a content analysis of talk during practice , 2006 .

[15]  G. Luck,et al.  Ensemble Musicians’ Synchronization With Conductors’ Gestures: An Automated Feature-Extraction Analysis , 2006 .

[16]  Petri Toiviainen,et al.  An investigation of pre-schoolers' corporeal synchroniza- tion with music , 2006 .

[17]  Bruno Nettl An ethnomusicologist contemplates universals in musical sound and musical culture , 2000 .

[18]  B. Repp Sensorimotor synchronization: A review of the tapping literature , 2005, Psychonomic bulletin & review.

[19]  G. Kreutz,et al.  Effects of Choir Singing or Listening on Secretory Immunoglobulin A, Cortisol, and Emotional State , 2004, Journal of Behavioral Medicine.

[20]  Peter E Keller,et al.  Sensorimotor synchronization with adaptively timed sequences. , 2008, Human movement science.

[21]  Jane W. Davidson,et al.  Social and Musical Co-Ordination between Members of a String Quartet: An Exploratory Study , 2002 .