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Interaction design and physical computing in the era of miniature embedded computers

Published:24 June 2013Publication History

ABSTRACT

ACM 978-1-4503-1918-8/13/06. This paper describes a new paradigm as well as a new platform which have been developed to demonstrate new robotics and physical computing programming models that are now possible as a result of miniature single-board computers. Here we investigate new design opportunities that bring with them the ability to embed an entire computer, such as the Raspberry Pi, within an interactive project. We call our new platform the "embedded computer" model, and we utilize the proposed Pi-Topping framework to demonstrate several cases in which the platform has already been employed. The new platform consists of a hardware add-on for the Raspberry Pi and, to drive and program the platform, a modified version of the Scratch programming environment. Smartphones are used as a portable screen that offers a touch sensitive input capacity. Case studies that demonstrate the new design possibilities are then described.

References

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  1. Interaction design and physical computing in the era of miniature embedded computers

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      • Published in

        cover image ACM Conferences
        IDC '13: Proceedings of the 12th International Conference on Interaction Design and Children
        June 2013
        687 pages
        ISBN:9781450319188
        DOI:10.1145/2485760

        Copyright © 2013 Copyright is held by the owner/author(s)

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 24 June 2013

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        Overall Acceptance Rate172of578submissions,30%

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