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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 Howarth
This 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.

History

Page range

497-508

ISBN

978-1-4503-4031-1

Conference 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

Legacy posted date

2016-08-12

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

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