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Mobile Phone-Based Device for Personalised Tutorials of 3D Printer Assembly
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2019 (English)In: Human-Computer Interaction. Recognition and Interaction Technologies: Proceedings, Part II / [ed] Masaaki Kurosu, Springer, 2019, p. 37-48Conference paper, Published paper (Refereed)
Abstract [en]

There are a number of studies exploring materials and mechanisms of 3D printers that can help product designers develop and evaluate interactive systems efficiently. As 3D printers are increasingly adopted, designers are more likely to encounter difficulties in assembling 3D printers on their own, as the assembly process involves specialised skills and knowledge of fitting components in right positions. Conventional solutions use text and video manuals but still requires high understandings of the assembly. We designed and evaluated the mobile phone-based device for personalised tutorials of 3D printer assembly. The device consists of a modified dongle and mobile phone application. The former detects electromagnetic signals upon physical contacts with the components and the latter displays tutorials accordingly. The contributions include the device design with electromagnetic signal-based object detection and importantly, the approach to integrating component touching with component detection for personalised interactions. Generalising implications for the approach are discussed.

Place, publisher, year, edition, pages
Springer, 2019. p. 37-48
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11567
Keywords [en]
Mobile phone, 3D printer assembly, Personalised tutorial, Electromagnetic object detect
National Category
Human Computer Interaction
Research subject
Man-Machine-Interaction (MMI)
Identifiers
URN: urn:nbn:se:su:diva-178341DOI: 10.1007/978-3-030-22643-5_4ISBN: 978-3-030-22642-8 (print)ISBN: 978-3-030-22643-5 (electronic)OAI: oai:DiVA.org:su-178341DiVA, id: diva2:1388409
Conference
Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019
Available from: 2020-01-24 Created: 2020-01-24 Last updated: 2020-01-25Bibliographically approved

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Hansen, Preben
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Department of Computer and Systems Sciences
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • asciidoc
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