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Prospective workflows for generative AI-assisted immersive illustration: the case of multiplicity

datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
dc.contributor.authorSgrinzatto, Chiara Masiero
dc.contributor.authorAraujo, Antonio
dc.date.accessioned2026-05-13T09:22:34Z
dc.date.available2026-05-13T09:22:34Z
dc.date.issued2025
dc.description.abstractThe introduction of generative AI into the field of immersive illustration threatens to displace both the knowledge of perspective and the practice of drawing as the main tools of this very technical branch of illustration. Yet for many illustrators this type of technical drawing is not just a tool but an end in itself. We consider what future workflows may accommodate both AI and handmade drawing in a way compatible with the market realities of illustration, and we illustrate our reflections with the case study of MultipliCity, an installation exploring and representing the interplay between myth and reality in the Venetian urban environment.eng
dc.identifier.doi10.34632/jsta.2025.17634
dc.identifier.urihttp://hdl.handle.net/10400.1/28943
dc.language.isoeng
dc.peerreviewedyes
dc.relationResearch Centre for Arts and Communication
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSpherical perspective
dc.subjectImmersive illustration
dc.subjectGenerative AI
dc.subjectTechnical drawing
dc.subjectEquirectangular
dc.titleProspective workflows for generative AI-assisted immersive illustration: the case of multiplicityeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/04019/2020
oaire.awardTitleResearch Centre for Arts and Communication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04019%2F2020/PT
oaire.citation.endPage100
oaire.citation.issue1
oaire.citation.startPage76
oaire.citation.titleJournal of Science and Technology of the Arts
oaire.citation.volume17
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAraujo
person.givenNameAntonio
person.identifier.orcid0000-0003-0909-5782
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication08b53b28-de69-4fb4-90ae-d73ed55a87c4
relation.isAuthorOfPublication.latestForDiscovery08b53b28-de69-4fb4-90ae-d73ed55a87c4
relation.isProjectOfPublication9d3edb9a-37c9-4dcd-b340-b1f3bb8a7560
relation.isProjectOfPublication.latestForDiscovery9d3edb9a-37c9-4dcd-b340-b1f3bb8a7560

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