Designing for well-Being: Using facial micro-expression analysis and EEG biosensor to evaluate human responses to 2D biophilically-driven geometries

dc.contributor.authorMacruz A.
dc.contributor.authorBueno E.
dc.contributor.authorSol G.
dc.contributor.authorVega J.
dc.contributor.authorPalmieri R.
dc.contributor.authorZhao B.
dc.date.accessioned2024-03-12T19:10:53Z
dc.date.available2024-03-12T19:10:53Z
dc.date.issued2023
dc.description.abstract© 2023 Higher Education Press Limited CompanyThis research explores the capacity of emerging technologies to enhance well-being. It involves the generation of 2D biophilically-driven geometries to represent human-response-oriented built environments and conducts inter and intra-individual analyses to assess human responses using a range of technologies within the realms of facial micro-expression analysis and EEG biosensor use. The outcomes of this analysis allow for the grading of these geometries in terms of emotional valences, meditation levels, and subjective preferences. These graded geometries can subsequently be employed in specific architectural contexts, such as interior decor, wallpapers, furniture surfaces, or other architectural and interior components. It is an interdisciplinary effort that underscores the importance of incorporating emerging technological means with human-response-oriented design approaches to foster built environments that promote well-being.
dc.identifier.doi10.1016/j.foar.2023.11.004
dc.identifier.issn2095-2643
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34144
dc.relation.ispartofFrontiers of Architectural Research
dc.rightsAcesso Aberto
dc.subject.otherlanguageBiophilic design
dc.subject.otherlanguageEEG biosensor
dc.subject.otherlanguageFacial micro-expression analysis
dc.subject.otherlanguageGeometrical algorithmic modeling
dc.subject.otherlanguageNeuroscience
dc.titleDesigning for well-Being: Using facial micro-expression analysis and EEG biosensor to evaluate human responses to 2D biophilically-driven geometries
dc.typeArtigo
local.scopus.citations2
local.scopus.eid2-s2.0-85180584958
local.scopus.updated2025-04-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85180584958&origin=inward
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