Assessing the support for creativity of a playground for live coding machine learning

Bernardo, Francisco, Kiefer, Chris and Magnusson, Thor (2021) Assessing the support for creativity of a playground for live coding machine learning. The 20th International Federation for Information Processing – International Conference on Entertainment Computing, Coimbra, Portugal, Nov. 2-5, 2021. Published in: Entertainment Computing – ICEC 2021. 13056 449-456. Springer, Cham. ISBN 9783030893934

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Abstract

We present the ongoing research around the design of Sema, a live coding environment aimed at supporting live coding with machine learning in the modern web browser. Sema integrates custom dashboards with code editors, debugging and visualisation tools, reference documentation and interactive tutorials. We analyse survey findings applying the Creativity Support Index, which aimed at understanding how well Sema supports creativity across its subsystems, and discuss how the insights we obtained contributed to inform the following design iteration.

Item Type: Conference Proceedings
Schools and Departments: School of Media, Film and Music > Music
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Depositing User: Mx Elements Account
Date Deposited: 12 Aug 2021 06:54
Last Modified: 01 Mar 2022 12:19
URI: http://sro.sussex.ac.uk/id/eprint/101075

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Project NameSussex Project NumberFunderFunder Ref
Innovating Sema: Community-building of Live Coding Language Design and Performance with Machine LearningG3211AHRC-ARTS & HUMANITIES RESEARCH COUNCILAH/V005154/1