Generative Choreographies: The Performance Dramaturgy of the Machine

Esbern T. Kaspersen, Dawid Górny, Cumhur Erkut, George Palamas

2020

Abstract

This paper presents an approach for a full body interactive environment in which performers manipulate virtual actors in order to augment a live performance. The aim of this research is to explore the role of generative animation to serve an interactive performance, as a dramaturgical approach in new media. The proposed system consists of three machine learning modules encoding a human’s movement into generative dance, performed by an avatar in a virtual world. First, we provide a detailed description of the technical aspects of the system. Afterwards, we discuss the critical aspects summarized on the basis of dance practice and new media technologies. In the process of this discussion, we emphasize the ability of the system to conform with a movement style and communicate choreographic semiotics, affording artists with new ways of engagement with their audiences.

Paper Citation

in Harvard Style

Kaspersen E., Górny D., Erkut C. and Palamas G. (2020). Generative Choreographies: The Performance Dramaturgy of the Machine. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP; ISBN 978-989-758-402-2, SciTePress, pages 319-326. DOI: 10.5220/0008990403190326

in Bibtex Style

@conference{grapp20,
author={Esbern T. Kaspersen and Dawid Górny and Cumhur Erkut and George Palamas},
title={Generative Choreographies: The Performance Dramaturgy of the Machine},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP},
year={2020},
pages={319-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008990403190326},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP
TI - Generative Choreographies: The Performance Dramaturgy of the Machine
SN - 978-989-758-402-2
AU - Kaspersen E.
AU - Górny D.
AU - Erkut C.
AU - Palamas G.
PY - 2020
SP - 319
EP - 326
DO - 10.5220/0008990403190326
PB - SciTePress