User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit

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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), 2-25-2-38. ISSN 1646-9798 [Article]

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Official URL: http://artes.ucp.pt/citarj/article/view/509

Abstract or Description

Machine learning offers great potential to developers and end users in the creative industries. For example, it can support new sensor-based interactions, procedural content generation and end-user product customisation. However, designing machine learning toolkits for adoption by creative developers is still a nascent effort. This work focuses on the application of user-centred design with creative end-user developers for informing the design of an interactive machine learning toolkit. We introduce a framework for user-centred design actions that we developed within the context of an EU innovation project, RAPID-MIX. We illustrate the application of the framework with two actions for lightweight formative evaluation of our toolkit—the JUCE Machine Learning Hackathon and the RAPID-MIX API workshop at eNTERFACE’17. We describe how we used these actions to uncover conceptual and technical limitations. We also discuss how these actions provided us with a better understanding of users, helped us to refine the scope of the design space, and informed improvements to the toolkit. We conclude with a reflection about the knowledge we obtained from applying user-centred design to creative technology, in the context of an innovation project in the creative industries.

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Article

Identification Number (DOI):

https://doi.org/10.7559/citarj.v10i2.509