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dc.contributor.authorYu, Rongrong
dc.contributor.authorGu, Ning
dc.contributor.authorOstwald, Michael
dc.contributor.authorGero, John S
dc.date.accessioned2018-04-03T12:30:52Z
dc.date.available2018-04-03T12:30:52Z
dc.date.issued2015
dc.identifier.issn0890-0604
dc.identifier.doi10.1017/S0890060414000316
dc.identifier.urihttp://hdl.handle.net/10072/172850
dc.description.abstractThis paper describes the results of a protocol study exploring problem–solution coevolution in a parametric design environment (PDE). The study involved eight participants who completed a defined architectural design task using Rhino and Grasshopper software: a typical PDE. The method of protocol analysis was employed to study the cognitive behaviors that occurred while these designers were working in the PDE. By analyzing the way in which the designers shifted between “problem” and “solution” spaces in the PDE, characteristics of the coevolutionary design process are identified and discussed. Results of this research include two potentially significant observations. First, the coevolution process occurs frequently within the design knowledge level (i.e., when using Rhino) and within the rule algorithm level (i.e., when using Grasshopper) of the parametric design process. Second, the designers’ coevolution process was focused on the design knowledge level at the beginning of the design session, while they focused more on the rule algorithm level toward the end of the design session. These results support an improved understanding of the design process that occurs in PDEs.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherCambridge University Press
dc.relation.ispartofpagefrom33
dc.relation.ispartofpageto44
dc.relation.ispartofissue1
dc.relation.ispartofjournalArtificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM)
dc.relation.ispartofvolume29
dc.subject.fieldofresearchManufacturing engineering
dc.subject.fieldofresearchArchitecture not elsewhere classified
dc.subject.fieldofresearchDesign
dc.subject.fieldofresearchcode4014
dc.subject.fieldofresearchcode330199
dc.subject.fieldofresearchcode3303
dc.titleEmpirical support for problem-solution co-evolution in a parametric design environment
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorYu, Rongrong


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