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Technology-mediated musical connections: the ecology of a screen-score performance

Technology-mediated musical connections: the ecology of a screen-score performance

Masu, Raul, Correia, Nuno N. ORCID: 0000-0002-9999-9162 and Romão, Teresa (2021) Technology-mediated musical connections: the ecology of a screen-score performance. In: AM '21: Audio Mostly 2021. Association for Computing Machinery (ACM), New York, USA, pp. 109-116. ISBN 978-1450385695 (doi:

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This paper presents Puffin, an interactive screen-score system, and the development of a piece for the system with two instrumentalists. Puffin is designed to expose the interconnections between two musicians in a performance ecology and the role of the interactive artifact and musical score in that ecology. We conducted daily interviews with the instrumentalists during the study to understand the different interconnections that emerged among the instruments, musicians, and the score. We visually represent the resulting ecology by using ARCAA, a recently developed framework designed to study performance ecologies. In light of existing literature, this study offers new perspectives on some elements of performance ecologies: how different actors play different roles and perform different actions in different contexts; how a screen-score can act as a mediator; how a piece and a system are interconnected but distinct; and how the piece has some constraints in itself. Finally, we observed how autobiographical and idiographic design can coexist.

Item Type: Conference Proceedings
Title of Proceedings: AM '21: Audio Mostly 2021
Uncontrolled Keywords: performance ecology, screen-score, musical interactive systems
Subjects: M Music and Books on Music > M Music
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CMS)
Related URLs:
Last Modified: 01 Nov 2021 16:20
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

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