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TO SUPPORT IOT COLLABORATIVE EXPRESSIVENESS ON THE SHOP FLOOR

Published online by Cambridge University Press:  27 July 2021

Álvaro Aranda Muñoz ,
Yvonne Eriksson ,
Yuji Yamamoto ,
Ulrika Florin  and
Kristian Sandström
Álvaro Aranda Muñoz*
Affiliation:
Mälardalen University; RISE
Yvonne Eriksson
Affiliation:
Mälardalen University;
Yuji Yamamoto
Affiliation:
Mälardalen University;
Ulrika Florin
Affiliation:
Mälardalen University;
Kristian Sandström
Affiliation:
RISE
*
Aranda Muñoz, Álvaro, Mälardalen University Information Design Sweden, alvaro.aranda.munoz@ri.se

Abstract

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The availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.

Keywords

Case studyCollaborative designEarly design phasesInternet of Things
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 3149 - 3158
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), 2021. Published by Cambridge University Press

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