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Addressing IoT: towards material-centered interaction design
Umeå University, Faculty of Social Sciences, Department of Informatics.
2018 (English)In: International Conference on Human-Computer Interaction, Springer, 2018, Vol. 10901, p. 198-207Conference paper, Published paper (Refereed)
Abstract [en]

This paper takes a point of departure in how IoT-the Internet of Things-is increasingly described as the next step forward for digitalization. As a background to this trend I describe how a great number of applied research projects and development efforts has been conducted to address various specific needs. Further, I argue in this paper that there is still a lack of a stable knowledge base–including developed theories and methods-for working across physical and digital materials in the design of IoT solutions. Motivated by this identified lack of methods this paper presents a theoretical and empirical ground for the development of a material-centered approach to the design of IoT systems. The proposed method is focused on material interactions as an approach for working across physical and digital materials in design. 

Place, publisher, year, edition, pages
Springer, 2018. Vol. 10901, p. 198-207
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349
National Category
Information Systems, Social aspects
Research subject
människa-dator interaktion
Identifiers
URN: urn:nbn:se:umu:diva-150568DOI: 10.1007/978-3-319-91238-7_17ISI: 000450991000017ISBN: 978-3-319-91237-0 (print)ISBN: 978-3-319-91238-7 (electronic)OAI: oai:DiVA.org:umu-150568DiVA, id: diva2:1238231
Conference
International Conference on Human-Computer Interaction
Available from: 2018-08-13 Created: 2018-08-13 Last updated: 2018-12-11Bibliographically approved

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Wiberg, Mikael

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf