The Prediction Machine: Performing Scientific and Artistic Process

Jacobs, Rachel and Benford, Steve and Luger, Ewa and Howarth, Candice The Prediction Machine: Performing Scientific and Artistic Process. In: Proceedings of the 2016 ACM Conference on Designing Interactive Systems (DIS '16).

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Keywords: Interactive art, Environmentally engaged art, Environmental data
Faculty: Faculty of Science & Technology
Depositing User: Ian Walker
Date Deposited: 12 Aug 2016 15:54
Last Modified: 12 Aug 2016 15:56
URI: http://arro.anglia.ac.uk/id/eprint/700709

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