Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108279
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorZhang, Den_US
dc.creatorWong, LTen_US
dc.creatorMui, KWen_US
dc.date.accessioned2024-07-30T07:37:50Z-
dc.date.available2024-07-30T07:37:50Z-
dc.identifier.issn0003-8628en_US
dc.identifier.urihttp://hdl.handle.net/10397/108279-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2024 Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Architectural Science Review on 29 Mar 2024 (published online), available at: https://doi.org/10.1080/00038628.2024.2329176.en_US
dc.subjectBayesian updatingen_US
dc.subjectIndoor environmental qualityen_US
dc.subjectLearning environmenten_US
dc.subjectMood statesen_US
dc.subjectOpen acceptance modelen_US
dc.subjectQuestionnaire surveyen_US
dc.titleOccupants’ mood states in evaluating indoor environmental quality (IEQ) acceptanceen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage12en_US
dc.identifier.volume68en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1080/00038628.2024.2329176en_US
dcterms.abstractPrevious studies have developed many models for indoor environmental quality (IEQ) assessment. However, almost none of them included mood states that could impact occupants’ IEQ perceptions significantly. This study developed an IEQ acceptance model that considers occupants’ perception of thermal comfort, visual quality, and acoustic quality, as well as their mood as an additional IEQ parameter. The model constants are evaluated by a Bayesian approach with the prior estimates determined from seven existing IEQ models including 4 parameters (without mood). Two hundred fifty-nine students’ perceptions against the five parameters collected in a university library were used as the observed data to update the prior beliefs. The results indicated that involving mood in the IEQ acceptance model could improve the model's accuracy more significantly. Additionally, the updated IEQ acceptance model estimated that students with positive moods are more likely to accept the overall IEQ than those with negative or neutral moods.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationArchitectural science review, 2025, v. 68, no. 1, p. 1-12en_US
dcterms.isPartOfArchitectural science reviewen_US
dcterms.issued2025-
dc.identifier.scopus2-s2.0-85189649804-
dc.identifier.eissn1758-9622en_US
dc.description.validate202407 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera3105-n10-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextCollaborative Research Fund (CRF) COVID-19 and Novel Infectious Disease (NID) Research Exercise; PolyU Internal funding, PolyU; The Research Institute for Smart Energy (RISE), PolyUen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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