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dc.contributor.authorRamm, Tobias M.
dc.contributor.authorWerwie, Mathias
dc.contributor.authorOtto, Tim
dc.contributor.authorGloor, Peter A.
dc.contributor.authorSalingaros, Nikos A.
dc.date.accessioned2024-01-29T17:16:16Z
dc.date.available2024-01-29T17:16:16Z
dc.date.issued2024-01-19
dc.identifier.urihttps://hdl.handle.net/1721.1/153412
dc.description.abstractMany factors influence well-being and health in everyday life. While people are aware of traffic delays or continuous work stress, other factors influence the state of the body on a subconscious level. The built environment subconsciously influences human physiology during every second of life, which has a cumulative long-term effect. The idea of biophilic design identifies the importance of natural elements implemented in architectural structures to improve the occupants’ health and well-being. This paper measures the impact of biophilic design on positive emotions and productivity in two separate but conceptually related pilot studies that apply novel approaches: (a) facial emotion recognition (FER) with residual masking networks and (b) sentiment detection using Large Language Models. The first study measures the emotions of people when confronted with images of different kinds of architecture, via FER and via a user survey. We find clear trends for emotions detected by FER and significant evidence for self-stated emotions that architecture implementing biophilic design evokes more positive emotions. The second study measures the influence of natural elements on productivity and team engagement. The findings show that natural elements in the surroundings do influence productivity and sentiment positively. As the sample size of subjects, especially for the second study, was relatively small, future research will need to apply these ideas in a larger setup to acquire further evidence for the importance of biophilic design for human well-being and health.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/su16020868en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titleArtificial Intelligence Evaluates How Humans Connect to the Built Environment: A Pilot Study of Two Experiments in Biophiliaen_US
dc.typeArticleen_US
dc.identifier.citationSustainability 16 (2): 868 (2024)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Collective Intelligence
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-01-26T14:11:08Z
dspace.date.submission2024-01-26T14:11:08Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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