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INTEGRATING SENSORS IN PRODUCTS: A NEW TOOL FOR DESIGN EDUCATION

Published online by Cambridge University Press:  19 June 2023

Tristan Briard ,
Camille Jean ,
Améziane Aoussat  and
Philippe Véron
Tristan Briard*
Affiliation:
LCPI, Arts et Métiers Institute of Technology, HESAM Université, Paris, France; LISPEN, Arts et Métiers Institute of Technology, HESAM Université, Aix-en-Provence, France
Camille Jean
Affiliation:
LCPI, Arts et Métiers Institute of Technology, HESAM Université, Paris, France;
Améziane Aoussat
Affiliation:
LCPI, Arts et Métiers Institute of Technology, HESAM Université, Paris, France;
Philippe Véron
Affiliation:
LISPEN, Arts et Métiers Institute of Technology, HESAM Université, Aix-en-Provence, France
*
Briard, Tristan, École nationale supérieure d'arts et métiers (ENSAM), France, tristan.briard@ensam.eu

Abstract

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This paper present a pedagogical tool to address a lack of creative approach in traditional education on embedded sensors. The tool is built in a systematic way from the data sheet information of a large number of different sensors. The tool presents the main monitoring capabilities of embedded sensors on cards to assist students in the creative stages of product design. An experiment was conducted to test its educational potential with 30 Masters students in product design. The statistical analysis on the experiment data indicate that the tool enables the improvement of knowledge on embedded sensors, with a more significant gain in advanced thinking skills. Finally, the tool is easy to implement in product design education and accessible to a wide range of students.

Keywords

Design educationCreativityEarly design phasesDesign learningBig data
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2345 - 2354
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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