Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104041
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Title: Predicting students’ thermal sensation votes in university libraries taking into account their mood states
Authors: Zhang, D 
Hou, HC 
Tsang, TW 
Mui, KW 
Wong, LT 
Issue Date: Jun-2024
Source: Indoor and built environment, June 2024, v. 33, no. 5, p. 859-875
Abstract: This study examined the effect of mood states on students’ thermal sensations within a university library comprising quiet-study and group-study rooms. Through concurrent subjective and objective assessments over five consecutive workdays, this study investigated the influence of psychological factors, particularly mood states, in influencing thermal sensations. This study addressed a paucity of prior research in library settings where both independent and collaborative studies have been undertaken. Subjective data (i.e. personal information, thermal assessment and mood states) via questionnaires and objective data (i.e. air temperature, radiant temperature, relative humidity and air velocity) via on-site measurements were collected during five working days. Statistical analyses (ANOVA, t-test, correlations and regression) indicated that male students and those with bad feelings (e.g. hostile and upset) reported significantly higher thermal sensation votes (TSVs) (p < 0.05) compared to females and those with neutral/good feelings (0.4–0.5 difference out of 7). Two predictive models for TSV were developed for males and females, considering factors like body mass index (BMI), operative temperature and mood states. This research offers insights for designing specific study environments to improve thermal comfort, fostering students’ well-being and guiding future initiatives in this area.
Keywords: Mood state
Students
Study space
Thermal comfort
University library
Publisher: Sage Publications Ltd.
Journal: Indoor and built environment 
ISSN: 1420-326X
EISSN: 1423-0070
DOI: 10.1177/1420326X231225405
Rights: This is the accepted version of the publication Zhang D, Hou H (Cynthia), Tsang T-W, Mui K-W, Wong L-T. Predicting students’ thermal sensation votes in university libraries taking into account their mood states. Indoor and Built Environment. 2024;33(5):859-875. Copyright © 2024 The Author(s). DOI: 10.1177/1420326X231225405.
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