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dc.contributor.authorVidal Calvet, Miguel
dc.contributor.authorCarta, Silvio
dc.contributor.authorLago-Novás, Juan
dc.contributor.editorAndersen, Ann-Louise
dc.contributor.editorAndersen, Rasmus
dc.contributor.editorBrunoe, Thomas Ditlev
dc.contributor.editorLarsen, Maria Stoettrup Schioenning
dc.contributor.editorNielsen, Kjeld
dc.contributor.editorNapoleone, Alessia
dc.contributor.editorKjeldgaard, Stefan
dc.date.accessioned2022-02-28T13:00:01Z
dc.date.available2022-02-28T13:00:01Z
dc.date.issued2021-11-01
dc.identifier.citationVidal Calvet , M , Carta , S & Lago-Novás , J 2021 , Human-Centered Design and Co-design Methodologies for Mass Customization in Housing: A Case Study Using Cloud Computing Applications. in A-L Andersen , R Andersen , T D Brunoe , M S S Larsen , K Nielsen , A Napoleone & S Kjeldgaard (eds) , Towards Sustainable Customization : Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 . Lecture Notes in Mechanical Engineering , Springer Nature , pp. 953-961 , 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and the 10th World Mass Customization & Personalization Conference (MCPC2021), enmark, October/November 2021 , Aalborg, D , Denmark , 1/11/21 . https://doi.org/10.1007/978-3-030-90700-6_109
dc.identifier.citationconference
dc.identifier.isbn9783030906993
dc.identifier.isbn9783030907006
dc.identifier.issn2195-4356
dc.identifier.urihttp://hdl.handle.net/2299/25402
dc.description© Springer Nature Switzerland AG 2022. This is the accepted manuscript version of a conference proceeding which has been published in final form at https://doi.org/10.1007/978-3-030-90700-6_109
dc.description.abstractThis research paper presents Turing: an innovative tool that approaches mass-housing design and demonstrates how cloud computing and generative design can be conjointly used via an accessible webbased application to achieve a high level of user input and co-design integration. The technologies implemented are a Grasshopper cloud application with Rhino.Compute, linked to a web server and using Three.js as a visualisation engine on a website. This work explores the design, industrial and commercial opportunities of co-designed, platform-based processes for customisable collective residential developments through generative design and cloud computing from a human-centred perspective. The findings of this research explore an user integration approach in mass customisation using web tools. This paper also investigates the potential of generative design and cloud computing by examining how residential models can be co-designed by architects, developers, manufacturers and users through a novel workflow. This study addresses the following conference themes: smart products, services and product-service systems, open innovation, user co-creation, and data-driven approaches for mass customisation offering a novel approach developed in collaboration with an industry partner.en
dc.format.extent9
dc.format.extent1857898
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartofTowards Sustainable Customization
dc.relation.ispartofseriesLecture Notes in Mechanical Engineering
dc.subjectCloud computing
dc.subjectCo-creation
dc.subjectGenerative design
dc.subjectHousing
dc.subjectHuman-centered design
dc.subjectAutomotive Engineering
dc.subjectAerospace Engineering
dc.subjectMechanical Engineering
dc.subjectFluid Flow and Transfer Processes
dc.titleHuman-Centered Design and Co-design Methodologies for Mass Customization in Housing: A Case Study Using Cloud Computing Applications.en
dc.contributor.institutionSchool of Creative Arts
dc.contributor.institutionArt and Design
dc.contributor.institutionDesign Research Group
dc.contributor.institutionZero Carbon Lab
dc.contributor.institutionCentre for Climate Change Research (C3R)
dc.contributor.institutionCentre for Future Societies Research
dc.description.statusPeer reviewed
dc.date.embargoedUntil2022-11-01
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85119410970&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1007/978-3-030-90700-6_109
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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