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    [arra]stre – A Data-driven Ballet

    Electronic Visualisation and the Arts (EVA 2015)

    London, UK, 7 - 9 July 2015

    AUTHORS

    Paul Golz & Genevieve Smith-Nunes

    ABSTRACT

    [arra]stre is a data-driven ballet performance that makes extensive use of visualisation with data generated from the choreography and dancers. Whilst visualisations of this kind are not uncommon in performance dance, what marks this work out is that the visualisation and choreography were treated as equal actors in the exploration of the theme rather than the visualisation either becoming the dominant character in the performance (with the dancers simply providing a trigger) or being completely passive - an echo of the movement.

    PAPER FORMATS

    PDF file PDF Version of this Paper 305(kb)