This contribution surveys strategies for analyzing highly coordinated forms of collaborative dance improvisation, based on tango argentino. Specifically, we take interest (a) in micro-coordination at the <1 s timescale in dance elements such as steps or rotations, (b) in meso-scale patterns of 2–8 step “figures”, and (c) in general enabling macro-patterns maintained throughout, a kind of “grammar” of tango. Across these timescales, dancers supply individual action-readiness, dynamic stability, proper form and connectivity, while jointly “managing” structures of interpersonal coordination such as enabling configurations. Our study engages qualitative and quantitative methods in a dialogue. Starting with micro-genetic elicitation interviews, dancers reported ideomotor concepts, perceptual triggers, and didactic imagery. Besides general (e. g. postural) habits, task-specific forms or techniques, and attentional foci, this yields insights into the interlocking contributions and information flow between tango leaders and followers within units as small as half-steps. The subjective data was then “frontloaded” into a motion-capture study in which six expert couples, fitted with 2 × 21 light-point reflectors, executed various tango techniques. We developed kinematic indicators for individual and interpersonal coordination (degree of coupling, relative movement onset and action timing, role specifics); we also measured geometries underlying various tango tasks and style variations. The combined data suggests a micro-coordination model where dynamic interdependencies enable precise mutually adaptive action. The criss-crossing signals, e. g. when the increasing lability of the leader’s torso triggers the follower’s leg extension at the beginning of a forward step, suggests task-, phase-and body-part specific contingencies whereby leaders and followers micro-coordinate actions with respect to one another.
CITATION STYLE
Kimmel, M., & Preuschl, E. (2016). Dynamic coordination patterns in Tango Argentino: A cross-fertilization of subjective explication methods and motion capture. In Springer Tracts in Advanced Robotics (Vol. 111, pp. 209–235). Springer Verlag. https://doi.org/10.1007/978-3-319-25739-6_10
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