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dc.contributor.author
 hal.structure.identifier
KIM, Jieun
127758 Laboratoire Conception de Produits et Innovation [LCPI]
dc.contributor.author
 hal.structure.identifier
BOUCHARD, Carole
127758 Laboratoire Conception de Produits et Innovation [LCPI]
dc.contributor.author
 hal.structure.identifier
OMHOVER, Jean-François
127758 Laboratoire Conception de Produits et Innovation [LCPI]
dc.contributor.author
 hal.structure.identifier
AOUSSAT, Améziane
127758 Laboratoire Conception de Produits et Innovation [LCPI]
dc.date.accessioned2014
dc.date.available2014
dc.date.issued2010
dc.date.submitted2014
dc.identifier.issn1755-5817
dc.identifier.urihttp://hdl.handle.net/10985/7854
dc.description.abstractThis study aims to explore how designers mentally categorise design information during the early sketching performed in the generative phase. An action research approach is particularly appropriate for identifying the various sorts of design information and the cognitive operations involved in this phase. Thus, we conducted a protocol study with eight product designers based on a descriptive model derived from cognitive psychological memory theories. Subsequent protocol analysis yielded a cognitive model depicting the mental categorisation of design information processing performed by designers. This cognitive model included a structure for design information (high, middle, and low levels) and linked cognitive operations (association and transformation). Finally, this paper concludes by discussing directions for future research on the development of new computational tools for designers.
dc.language.isoen
dc.publisherElsevier
dc.rightsPost-print
dc.titleTowards a model of how designers mentally categorise design information
dc.identifier.doi10.1016/j.cirpj.2010.11.004
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Paris
dc.subject.halSciences de l'ingénieur: Mécanique
dc.subject.halSciences de l'ingénieur: Mécanique: Génie mécanique
ensam.audienceInternationale
ensam.page218-226
ensam.journalCIRP Journal of Manufacturing Science and Technology
ensam.issue3
hal.identifierhal-00959302
hal.version1
hal.submission.permittedupdateFiles
hal.statusaccept
dc.identifier.eissn1878-0016


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