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Appl. Sci. 2018, 8(1), 111; https://doi.org/10.3390/app8010111

Desert and Sonic Ecosystems: Incorporating Environmental Factors within Site-Responsive Sonic Art

1
Arts, Media + Engineering, Arizona State University, Tempe, AZ 85287-5802, USA
2
Design Media Arts, University of California, Los Angeles, CA 90095-1456, USA
Current address: ASU Arts, Media + Engineering, 950 S Forest Mall, Tempe, AZ 85287, USA.
*
Author to whom correspondence should be addressed.
Academic Editor: Stefania Serafin
Received: 3 November 2017 / Revised: 4 January 2018 / Accepted: 9 January 2018 / Published: 14 January 2018
(This article belongs to the Special Issue Sound and Music Computing)
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Abstract

Advancements in embedded computer platforms have allowed data to be collected and shared between objects—or smart devices—in a network. While this has resulted in highly functional outcomes in fields such as automation and monitoring, there are also implications for artistic and expressive systems. In this paper we present a pluralistic approach to incorporating environmental factors within the field of site-responsive sonic art using embedded audio and data processing techniques. In particular, we focus on the role of such systems within an ecosystemic framework, both in terms of incorporating systems of living organisms, as well as sonic interaction design. We describe the implementation of such a system within a large-scale site-responsive sonic art installation that took place in the subtropical desert climate of Arizona in 2017.
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Keywords: sonic interaction design; audio signal processing; music technology; ecosystems sonic interaction design; audio signal processing; music technology; ecosystems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hayes, L.; Stein, J. Desert and Sonic Ecosystems: Incorporating Environmental Factors within Site-Responsive Sonic Art. Appl. Sci. 2018, 8, 111.

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