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The Prediction Machine: Performing Scientific and Artistic Process
conference contribution
posted on 2023-07-26, 13:54 authored by Rachel Jacobs, Steve Benford, Ewa Luger, Candice HowarthThis paper responds to an increasing interest in how data-driven interactive artworks can support a greater understanding of the relationship between humans and data. This paper extends this work by focusing on the The Prediction Machine, an interactive and data-driven artwork that arose from collaborations between an artist, climate scientists, HCI researchers and the wider public. A study of the practice-led process reveals: (a) how the artist "performed" scientific data across multiple outputs; (b) how the artist walked a line between scientific and artistic process; (c) how the public experienced data across multiple components of the artwork; (d) how the artwork can be seen as process rather than a exhibition or artifact; and (e) how tensions between artistic strategies and scientific processes inherent in the creation of data-driven artworks might inform future work involving public engagement with scientific data.
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Page range
497-508ISBN
978-1-4503-4031-1Conference proceeding
Proceedings of the 2016 ACM Conference on Designing Interactive Systems (DIS '16)Name of event
Proceedings of the 2016 ACM Conference on Designing Interactive Systems (DIS '16)Language
- other
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2016-08-12Legacy Faculty/School/Department
ARCHIVED Faculty of Science & Technology (until September 2018)Usage metrics
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