Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108279
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Title: Occupants’ mood states in evaluating indoor environmental quality (IEQ) acceptance
Authors: Zhang, D 
Wong, LT 
Mui, KW 
Issue Date: 2025
Source: Architectural science review, 2025, v. 68, no. 1, p. 1-12
Abstract: Previous 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.
Keywords: Bayesian updating
Indoor environmental quality
Learning environment
Mood states
Open acceptance model
Questionnaire survey
Publisher: Taylor & Francis
Journal: Architectural science review 
ISSN: 0003-8628
EISSN: 1758-9622
DOI: 10.1080/00038628.2024.2329176
Rights: © 2024 Informa UK Limited, trading as Taylor & Francis Group
This 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.
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