Bernardo, Francisco; Grierson, Mick and Fiebrink, Rebecca. 2018. User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit. Journal of Science and Technology of the Arts (CITARJ), 10(2), ISSN 1646-9798 [Article] (In Press) http://research.gold.ac.uk/23667/ The version presented here may differ from the published, performed or presented work. Please go to the persistent GRO record above for more information. If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Goldsmiths, University of London via the following email address:
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[email protected] Journal of Science and Technology of the Arts, Volume 10, No. 2 – Special Issue eNTERFACE’17 User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit Francisco Bernardo Mick Grierson Rebecca Fiebrink Department of Computing Department of Computing Department of Computing Goldsmiths, University of London Goldsmiths, University of London Goldsmiths, University of London London SE14 6NW London SE14 6NW London SE14 6NW ----- ----- -----
[email protected] [email protected] [email protected] ----- ----- ----- ABSTRACT KEYWORDS Machine learning offers great potential to developers User-centred Design; Action Research; Interactive and end users in the creative industries. For Machine Learning; Application Programming example, it can support new sensor-based Interfaces; Toolkits; Creative Technology. interactions, procedural content generation and end- user product customisation. However, designing ARTICLE INFO machine learning toolkits for adoption by creative Received: 03 April 2018 developers is still a nascent effort.