DogDog: Soma-Based Interface Design for an Improvising Musician

Francesco Bigoni; Cumhur Erkut

doi:10.1145/3401956.3404242

DogDog: Soma-Based Interface Design for an Improvising Musician

Francesco Bigoni, Cumhur Erkut

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

5 Citationer (Scopus)

Abstract

Improvisation is embodied thought and expression. This paper outlines strategies and tactics to design expressive musical interfaces for improvisers. Some of these strategies are explored through a case study: a non-tactile hand-arm movement interface controlling a granular synthesizer (DogDog), based on high-level movement descriptors. The research through design and performance experience indicates that movement quality descriptors are inherently scalable from hand-arm movements to full body interaction, and that a textural approach to motion tracking fits well the morphing sonic masses generated through granular sound synthesis.

Originalsprog	Engelsk
Titel	Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020
Antal sider	4
Forlag	Association for Computing Machinery
Publikationsdato	15 jul. 2020
Sider	1-4
Artikelnummer	23
ISBN (Elektronisk)	9781450375054
DOI	https://doi.org/10.1145/3401956.3404242
Status	Udgivet - 15 jul. 2020
Begivenhed	7th International Conference on Movement and Computing, MOCO 2020 - Jersey City, Virtual, USA Varighed: 15 jul. 2020 → 17 jul. 2020

Konference

Konference	7th International Conference on Movement and Computing, MOCO 2020
Land/Område	USA
By	Jersey City, Virtual
Periode	15/07/2020 → 17/07/2020
Sponsor	mBrainTrain

Navn	ACM International Conference Proceeding Series

Bibliografisk note

Publisher Copyright:
© 2020 ACM.

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10.1145/3401956.3404242

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Citationsformater

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title = "DogDog: Soma-Based Interface Design for an Improvising Musician",

abstract = "Improvisation is embodied thought and expression. This paper outlines strategies and tactics to design expressive musical interfaces for improvisers. Some of these strategies are explored through a case study: a non-tactile hand-arm movement interface controlling a granular synthesizer (DogDog), based on high-level movement descriptors. The research through design and performance experience indicates that movement quality descriptors are inherently scalable from hand-arm movements to full body interaction, and that a textural approach to motion tracking fits well the morphing sonic masses generated through granular sound synthesis.",

keywords = "Embodied Interaction, Granular Synthesis, Mapping, Movement Descriptors, Sound",

author = "Francesco Bigoni and Cumhur Erkut",

note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 7th International Conference on Movement and Computing, MOCO 2020 ; Conference date: 15-07-2020 Through 17-07-2020",

year = "2020",

month = jul,

day = "15",

doi = "10.1145/3401956.3404242",

language = "English",

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publisher = "Association for Computing Machinery",

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address = "United States",

}

Bigoni, F & Erkut, C 2020, DogDog: Soma-Based Interface Design for an Improvising Musician. i Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020., 23, Association for Computing Machinery, ACM International Conference Proceeding Series, s. 1-4, 7th International Conference on Movement and Computing, MOCO 2020, Jersey City, Virtual, USA, 15/07/2020. https://doi.org/10.1145/3401956.3404242

DogDog: Soma-Based Interface Design for an Improvising Musician. / Bigoni, Francesco; Erkut, Cumhur.
Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020. Association for Computing Machinery, 2020. s. 1-4 23 (ACM International Conference Proceeding Series).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - DogDog

T2 - 7th International Conference on Movement and Computing, MOCO 2020

AU - Bigoni, Francesco

AU - Erkut, Cumhur

PY - 2020/7/15

Y1 - 2020/7/15

N2 - Improvisation is embodied thought and expression. This paper outlines strategies and tactics to design expressive musical interfaces for improvisers. Some of these strategies are explored through a case study: a non-tactile hand-arm movement interface controlling a granular synthesizer (DogDog), based on high-level movement descriptors. The research through design and performance experience indicates that movement quality descriptors are inherently scalable from hand-arm movements to full body interaction, and that a textural approach to motion tracking fits well the morphing sonic masses generated through granular sound synthesis.

AB - Improvisation is embodied thought and expression. This paper outlines strategies and tactics to design expressive musical interfaces for improvisers. Some of these strategies are explored through a case study: a non-tactile hand-arm movement interface controlling a granular synthesizer (DogDog), based on high-level movement descriptors. The research through design and performance experience indicates that movement quality descriptors are inherently scalable from hand-arm movements to full body interaction, and that a textural approach to motion tracking fits well the morphing sonic masses generated through granular sound synthesis.

KW - Embodied Interaction

KW - Granular Synthesis

KW - Mapping

KW - Movement Descriptors

KW - Sound

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U2 - 10.1145/3401956.3404242

DO - 10.1145/3401956.3404242

M3 - Article in proceeding

AN - SCOPUS:85123041818

T3 - ACM International Conference Proceeding Series

SP - 1

EP - 4

BT - Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020

PB - Association for Computing Machinery

Y2 - 15 July 2020 through 17 July 2020

ER -

DogDog: Soma-Based Interface Design for an Improvising Musician

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