Creating Time: Social Collaboration in Music Improvisation

Musical collaboration emerges from the complex interaction of environmental and informational constraints, including those of the instruments and the performance context. Music improvisation in particular is more like everyday interaction in that dynamics emerge spontaneously without a rehearsed score or script. We examined how the structure of the musical context affords and shapes interactions between improvising musicians. Six pairs of professional piano players improvised with two different backing tracks while we recorded both the music produced and the movements of their heads, left arms, and right arms. The backing tracks varied in rhythmic and harmonic information, from a chord progression to a continuous drone. Differences in movement coordination and playing behavior were evaluated using the mathematical tools of complex dynamical systems, with the aim of uncovering the multiscale dynamics that characterize musical collaboration. Collectively, the findings indicated that each backing track afforded the emergence of different patterns of coordination with respect to how the musicians played together, how they moved together, as well as their experience collaborating with each other. Additionally, listeners' experiences of the music when rating audio recordings of the improvised performances were related to the way the musicians coordinated both their playing behavior and their bodily movements. Accordingly, the study revealed how complex dynamical systems methods (namely recurrence analysis) can capture the turn-taking dynamics that characterized both the social exchange of the music improvisation and the sounds of collaboration more generally. The study also demonstrated how musical improvisation provides a way of understanding how social interaction emerges from the structure of the behavioral task context.

[1]  Michael J. Richardson,et al.  Recurrence Quantification as an Analysis of Temporal Coordination with Complex Signals , 2014 .

[2]  Jeff Pressing,et al.  Black Atlantic Rhythm: Its Computational and Transcultural Foundations , 2002 .

[3]  Tal-Chen Rabinowitch,et al.  Synchronous Rhythmic Interaction Enhances Children’s Perceived Similarity and Closeness towards Each Other , 2015, PloS one.

[4]  J. Laroche,et al.  Spontaneous preferences and core tastes: embodied musical personality and dynamics of interaction in a pedagogical method of improvisation , 2015, Front. Psychol..

[5]  Michael J. Richardson,et al.  Distinguishing the noise and attractor strength of coordinated limb movements using recurrence analysis , 2007, Biological Cybernetics.

[6]  Drew H. Abney,et al.  Influence of musical groove on postural sway. , 2016, Journal of experimental psychology. Human perception and performance.

[7]  Norbert Marwan,et al.  A historical review of recurrence plots , 2008, 1709.09971.

[8]  Vivek Kant,et al.  Toward a dynamical theory of body movement in musical performance , 2014, Front. Psychol..

[9]  Peter E. Keller,et al.  What can music tell us about social interaction? , 2015, Trends in Cognitive Sciences.

[10]  T. DeNora,et al.  Music, empathy and cultural understanding. , 2015, Physics of life reviews.

[11]  M. Pearce,et al.  Sweet Anticipation : Music and the Psychology of Expectation , 2007 .

[12]  Caroline Palmer,et al.  Temporal coordination and adaptation to rate change in music performance. , 2011, Journal of experimental psychology. Human perception and performance.

[13]  P. Keller,et al.  Perceiving bodies in motion: expression intensity, empathy, and experience , 2012, Experimental Brain Research.

[14]  Eric Brangier,et al.  Embodiment of intersubjective time: relational dynamics as attractors in the temporal coordination of interpersonal behaviors and experiences , 2014, Front. Psychol..

[15]  Ashley Walton Music Improvisation: Spatiotemporal Patterns of Coordination , 2016 .

[16]  J. Sutton,et al.  Embodied cognition, perception, and performance in music , 2015 .

[17]  Yingjia Wan,et al.  Temporal predictability promotes prosocial behavior in 5-year-old children , 2019, PloS one.

[18]  Self-Organized Complementary Coordination: Dynamics of an Interpersonal Collision-Avoidance Task , 2011 .

[19]  P. Keller,et al.  Searching for Roots of Entrainment and Joint Action in Early Musical Interactions , 2012, Front. Hum. Neurosci..

[20]  Michael J. Richardson,et al.  Using Cross-Recurrence Quantification Analysis to Understand Social Motor Coordination in Children with Autism Spectrum Disorder , 2016 .

[21]  U. Alon,et al.  Individuality and Togetherness in Joint Improvised Motion , 2014, PloS one.

[22]  M. Leman,et al.  The Role of Embodiment in the Perception of Music , 2015 .

[23]  K. Charmaz,et al.  Constructing Grounded Theory: A practical guide through qualitative analysis Kathy Charmaz Constructing Grounded Theory: A practical guide through qualitative analysis Sage 224 £19.99 0761973532 0761973532 [Formula: see text]. , 2006, Nurse researcher.

[24]  Anthony Chemero,et al.  Improvisation and the self-organization of multiple musical bodies , 2015, Front. Psychol..

[25]  Peter E. Keller,et al.  Joint action in music performance , 2008 .

[26]  Peter E. Keller,et al.  Practice Makes Too Perfect: Fluctuations in Loudness Indicate Spontaneity in Musical Improvisation , 2011 .

[27]  S. Baron-Cohen,et al.  Can Music Increase Empathy? Interpreting Musical Experience Through The Empathizing-Systemizing (E-S) Theory: Implications For Autism , 2015 .

[28]  Michael J. Richardson,et al.  Effects of visual and verbal interaction on unintentional interpersonal coordination. , 2005, Journal of experimental psychology. Human perception and performance.

[29]  Laura Bishop Collaborative Musical Creativity: How Ensembles Coordinate Spontaneity , 2018, Front. Psychol..

[30]  Pieter-Jan Maes,et al.  Sensorimotor Grounding of Musical Embodiment and the Role of Prediction: A Review , 2016, Front. Psychol..

[31]  R. Sawyer,et al.  Group creativity: musical performance and collaboration , 2006 .

[32]  L. Malinin,et al.  How Radical Is Embodied Creativity? Implications of 4E Approaches for Creativity Research and Teaching , 2019, Front. Psychol..

[33]  J. Zbilut,et al.  Embeddings and delays as derived from quantification of recurrence plots , 1992 .

[34]  Nikki Moran,et al.  Social implications arise in embodied music cognition research which can counter musicological “individualism” , 2014, Front. Psychol..

[35]  Eric Clarke,et al.  Ways of Listening , 2005 .

[36]  K. Shockley,et al.  Mutual interpersonal postural constraints are involved in cooperative conversation. , 2003, Journal of experimental psychology. Human perception and performance.

[37]  Tom Rodden,et al.  Ways of the Hands , 2005, ECSCW.

[38]  David Borgo,et al.  Sync or Swarm: Improvising Music in a Complex Age , 2005 .

[39]  J. Zbilut,et al.  2 Recurrence Quantification Analysis of Nonlinear Dynamical Systems , 2004 .

[40]  E. Hart,et al.  Combined flow in musical jam sessions: A pilot qualitative study , 2015 .

[41]  Jason M Haberman,et al.  Sensorimotor coupling in music and the psychology of the groove. , 2012, Journal of experimental psychology. General.

[42]  Bruno H. Repp,et al.  The Practice of Performance: Musical motion and performance: theoretical and empirical perspectives , 1995 .

[43]  C L Webber,et al.  Dynamical assessment of physiological systems and states using recurrence plot strategies. , 1994, Journal of applied physiology.

[44]  V. Gallese The ‘‘shared manifold’’ hypothesis: from mirror neurons to empathy , 2001 .

[45]  Michael J. Richardson,et al.  Bodily synchronization underlying joke telling , 2014, Front. Hum. Neurosci..

[46]  K. Stueber,et al.  Rediscovering empathy : agency, folk psychology, and the human sciences , 2006 .

[47]  Ekaterina P. Volkova,et al.  Emotion categorization of body expressions in narrative scenarios , 2014, Front. Psychol..

[48]  Marc Leman,et al.  Action-based effects on music perception , 2013, Front. Psychol..

[49]  P. Keller,et al.  Individual Differences, Auditory Imagery, and the Coordination of Body Movements and Sounds in Musical Ensembles , 2010 .

[50]  Riccardo Fusaroli,et al.  Dialog as interpersonal synergy , 2014, New Ideas in Psychology.

[51]  Michael J. Richardson,et al.  Comparing the attractor strength of intra- and interpersonal interlimb coordination using cross-recurrence analysis , 2008, Neuroscience Letters.

[52]  Bruno H. Repp Music as Motion: A Synopsis of Alexander Truslit's (1938) Gestaltung und Bewegung in der Musik , 1993 .

[53]  Michael J. Richardson,et al.  Measuring the Dynamics of Interactional Synchrony , 2012 .

[54]  K. Shockley Cross Recurrence Quantification of Interpersonal Postural Activity , 2004 .

[55]  Michael J. Richardson,et al.  Self-organized complementary joint action: Behavioral dynamics of an interpersonal collision-avoidance task. , 2015, Journal of experimental psychology. Human perception and performance.

[56]  Michael J. Spivey,et al.  Unraveling the Dyad: Using Recurrence Analysis to Explore Patterns of Syntactic Coordination Between Children and Caregivers in Conversation , 2006 .

[57]  Eric Clarke,et al.  Ways of Listening: An Ecological Approach to the Perception of Musical Meaning , 2005 .

[58]  Alexander Truslit Gestaltung und Bewegung in der Musik , 1938 .

[59]  Peter A. Martens,et al.  Spontaneous sensorimotor coupling with multipart music. , 2014, Journal of experimental psychology. Human perception and performance.

[60]  R. Keith Sawyer,et al.  Group Creativity: Music, Theater, Collaboration , 2003 .

[61]  Michael J. Hove,et al.  Audio Features Underlying Perceived Groove and Sensorimotor Synchronization in Music , 2016 .

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

[63]  C. Stevens,et al.  The E-music box: an empirical method for exploring the universal capacity for musical production and for social interaction through music , 2015, Royal Society Open Science.

[64]  Charles L. Webber,et al.  Recurrence Quantification Analysis , 2015 .

[65]  Michael J. Richardson,et al.  Complex dynamical systems in social and personality psychology: theory, modeling, and analysis , 2014 .

[66]  V. I. J. Ay Embodied Mind, Situated Cognition, and Expressive Microtiming in African-American Music , 2002 .

[67]  Daniel C. Richardson,et al.  Conversation and Coordinative Structures , 2009, Top. Cogn. Sci..

[68]  Michael J. Richardson,et al.  Self-Organization and Semiosis in Jazz Improvisation , 2014, Int. J. Signs Semiot. Syst..

[69]  D. Moelants,et al.  The Impact of the Bass Drum on Human Dance Movement , 2013 .

[70]  Martin Norgaard,et al.  Descriptions of Improvisational Thinking by Artist-Level Jazz Musicians , 2011 .

[71]  Daniel C. Richardson,et al.  The self organization of human interaction , 2013 .