MLTK01

A Prototyping Toolkit for Tangible Learning Things

Conference Paper (2022)
Authors

M.L. Lupetti (TU Delft - Form and Experience)

L. Romagnoli (Automato Farm, Shanghai)

Research Group
Form and Experience
Copyright
© 2022 M.L. Lupetti, L. Romagnoli
To reference this document use:
https://doi.org/10.1007/978-981-19-4472-7_57
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 M.L. Lupetti, L. Romagnoli
Research Group
Form and Experience
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
883-889
ISBN (electronic)
978-981-19-4472-7
DOI:
https://doi.org/10.1007/978-981-19-4472-7_57
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This work illustrates and reflects on the design process of MLTK01, an open-source toolkit for fast prototyping tangible learning things, built on top of Arduino and ml5js. The toolkit was developed as a response to the current lack of fast and easy to use tools for tangible experiments with machine learning. Learning from insights gained through previous projects, we defined a set of basic building blocks necessary to enable such experiments and engaged in an iterative process of sketching, prototyping and preliminary testing of the toolkit. MLTK01 includes a custom PCB, a software library and accessories. Together with a descriptive account of the design process we also discuss possible applications of the toolkit and its implications for a design process of tangible learning things

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