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Predefined manikins to support consideration of anthropometric diversity by product designers
University of Skövde, School of Technology and Society.
University of Skövde, School of Technology and Society.
2007 (English)In: Digital Human Modeling, Springer Berlin/Heidelberg, 2007, p. 110-119Conference paper, Published paper (Refereed)
Abstract [en]

The paper discusses the complexity involved in considering targeted product users’ anthropometric variation in multivariate design problems, such as the design of workplaces or vehicle interiors. The authors argue for the advantages of offering designers a number of predefined digital human models to incorporate in the CAD product models. A study has been carried out in order to illustrate the use of predefined digital human models in vehicle interior design by using the Digital Human Modelling (DHM) tool RAMSIS. The paper takes a designer’s view of digital human modelling and illustrates how DHM can be of great value in the design process, but also considers what implications this has on the functionality and usability of DHM tools.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2007. p. 110-119
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 1611-3349 ; 4561 LNCS
Identifiers
URN: urn:nbn:se:his:diva-2138DOI: 10.1007/978-3-540-73321-8ISI: 000248099700013Scopus ID: 2-s2.0-38349151964ISBN: 978-3-540-73318-8 OAI: oai:DiVA.org:his-2138DiVA, id: diva2:32414
Available from: 2008-06-04 Created: 2008-06-04 Last updated: 2017-11-27

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Publisher's full textScopushttp://www.springerlink.com/content/b32x468515qg6484/?p=83045aa7bfde4bb4aa70f5996d4ce4b5&pi=12

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Högberg, DanCase, Keith

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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