Playing with Soma: Speculating on the Physical Body and Somatic Practice of AI

Eugenia S. Kim; Christian Sandor; Jayson Haebich; Alvaro Cassinelli

Playing with Soma: Speculating on the Physical Body and Somatic Practice of AI

Eugenia S. Kim
, Christian Sandor
, Jayson Haebich
, Alvaro Cassinelli

School of Creative Media

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Current trends in new media art and dance technology have given rise to artworks driven by motion capture (mocap) data and machinelearning algorithms that take the form of immersive media, live performance and projection-based installations. In these works, the human form is still emphasized even when heavily abstracted, and the data remains in a digital and/or virtual realm. In response to these trends, the authors explore the application of laser projections of motion trails to bring data into physical reality, thus metaphorically giving a “body” to generated movement. Somatic movement improvisations (i.e. Contact Improvisation and the Skinner Releasing Technique) will be used for training to teach the attributes of human movement rather than the vocabulary of a set dance technique.

Original language	English
Title of host publication	Art Machines 2
Subtitle of host publication	International Symposium on Machine Learning and Art 2021 Proceedings
Editors	Richard William Allen
Place of Publication	Hong Kong
Publisher	School of Creative Media, City University of Hong Kong
Pages	31-38
Number of pages	8
ISBN (Print)	978-962-442-448-5, 9789624424485
Publication status	Published - Jun 2021
Event	Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2) - City University of Hong Kong, Hong Kong, China Duration: 10 Jun 2021 → 14 Jun 2021 https://www.cityu.edu.hk/artmachines2/

Conference

Conference	Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2)
Place	China
City	Hong Kong
Period	10/06/21 → 14/06/21
Internet address	https://www.cityu.edu.hk/artmachines2/

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@inproceedings{dac0ce28d4154dbfa709e68fe6c44393,

title = "Playing with Soma: Speculating on the Physical Body and Somatic Practice of AI",

abstract = "Current trends in new media art and dance technology have given rise to artworks driven by motion capture (mocap) data and machinelearning algorithms that take the form of immersive media, live performance and projection-based installations. In these works, the human form is still emphasized even when heavily abstracted, and the data remains in a digital and/or virtual realm. In response to these trends, the authors explore the application of laser projections of motion trails to bring data into physical reality, thus metaphorically giving a “body” to generated movement. Somatic movement improvisations (i.e. Contact Improvisation and the Skinner Releasing Technique) will be used for training to teach the attributes of human movement rather than the vocabulary of a set dance technique.",

author = "Kim, \{Eugenia S.\} and Christian Sandor and Jayson Haebich and Alvaro Cassinelli",

year = "2021",

month = jun,

language = "English",

isbn = "978-962-442-448-5",

pages = "31--38",

editor = "Allen, \{Richard William\}",

booktitle = "Art Machines 2",

publisher = "School of Creative Media, City University of Hong Kong",

note = "Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2) ; Conference date: 10-06-2021 Through 14-06-2021",

url = "https://www.cityu.edu.hk/artmachines2/",

}

Kim, ES , Sandor, C, Haebich, J & Cassinelli, A 2021, Playing with Soma: Speculating on the Physical Body and Somatic Practice of AI. in RW Allen (ed.), Art Machines 2: International Symposium on Machine Learning and Art 2021 Proceedings. School of Creative Media, City University of Hong Kong, Hong Kong, pp. 31-38, Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2), Hong Kong, China, 10/06/21.

Playing with Soma: Speculating on the Physical Body and Somatic Practice of AI. / Kim, Eugenia S.; Sandor, Christian; Haebich, Jayson et al.
Art Machines 2: International Symposium on Machine Learning and Art 2021 Proceedings. ed. / Richard William Allen. Hong Kong: School of Creative Media, City University of Hong Kong, 2021. p. 31-38.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Playing with Soma

T2 - Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2)

AU - Kim, Eugenia S.

AU - Sandor, Christian

AU - Haebich, Jayson

AU - Cassinelli, Alvaro

PY - 2021/6

Y1 - 2021/6

N2 - Current trends in new media art and dance technology have given rise to artworks driven by motion capture (mocap) data and machinelearning algorithms that take the form of immersive media, live performance and projection-based installations. In these works, the human form is still emphasized even when heavily abstracted, and the data remains in a digital and/or virtual realm. In response to these trends, the authors explore the application of laser projections of motion trails to bring data into physical reality, thus metaphorically giving a “body” to generated movement. Somatic movement improvisations (i.e. Contact Improvisation and the Skinner Releasing Technique) will be used for training to teach the attributes of human movement rather than the vocabulary of a set dance technique.

AB - Current trends in new media art and dance technology have given rise to artworks driven by motion capture (mocap) data and machinelearning algorithms that take the form of immersive media, live performance and projection-based installations. In these works, the human form is still emphasized even when heavily abstracted, and the data remains in a digital and/or virtual realm. In response to these trends, the authors explore the application of laser projections of motion trails to bring data into physical reality, thus metaphorically giving a “body” to generated movement. Somatic movement improvisations (i.e. Contact Improvisation and the Skinner Releasing Technique) will be used for training to teach the attributes of human movement rather than the vocabulary of a set dance technique.

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-962-442-448-5

SN - 9789624424485

SP - 31

EP - 38

BT - Art Machines 2

A2 - Allen, Richard William

PB - School of Creative Media, City University of Hong Kong

CY - Hong Kong

Y2 - 10 June 2021 through 14 June 2021

ER -

Playing with Soma: Speculating on the Physical Body and Somatic Practice of AI

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