TY - JOUR
T1 - Delving beneath the surface
T2 - A systematic review of human experience of indoor thermal environments through electroencephalogram (EEG)
AU - Pourghorban, Arash
AU - Chang, Victor WC
AU - Zhou, Jin
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/6/1
Y1 - 2024/6/1
N2 - This comprehensive review delves into Electroencephalogram (EEG) applications for assessing human experiences in thermal environments, focusing on thermal perception, cognition, and emotions. Our analysis categorizes EEG studies into statistical investigations and discrimination models. Statistical studies, encompassing various frequency bands and indices, yield inconclusive outcomes due to diverse findings. Discrimination models employ a diverse range of EEG features tailored to specific experimental conditions. The lack of a consistent knowledge foundation on EEG's spectral and topographical properties to distinct aspects of human thermal experience, along with the absence of a universally recognized thermal perception index and variations in defining cognition and emotion indices, contributes to this diversity. Through a thorough examination of methodological aspects, including experimental and data analysis approaches, our review exposes significant gaps and limitations in current thermal experience research. The paper proposes key recommendations to advance the field, emphasizing the importance of a comprehensive environmental portrayal, standardized perceptual descriptors, multidomain studies, and dynamic thermal research. Advocating for investigations into individual thermal variable influences, within-subject experiments, and addressing cognitive interferences, the review also highlights the need for improved data granularity, standardized EEG protocols, and a broader exploration of EEG analysis methods. Addressing these aspects is vital for establishing a more consistent knowledge base, enhancing research reliability, and improving result communication. Our findings contribute to a deeper understanding of human thermal experience, providing recommendations to bridge identified gaps and limitations, fostering a more robust foundation for future research in this domain.
AB - This comprehensive review delves into Electroencephalogram (EEG) applications for assessing human experiences in thermal environments, focusing on thermal perception, cognition, and emotions. Our analysis categorizes EEG studies into statistical investigations and discrimination models. Statistical studies, encompassing various frequency bands and indices, yield inconclusive outcomes due to diverse findings. Discrimination models employ a diverse range of EEG features tailored to specific experimental conditions. The lack of a consistent knowledge foundation on EEG's spectral and topographical properties to distinct aspects of human thermal experience, along with the absence of a universally recognized thermal perception index and variations in defining cognition and emotion indices, contributes to this diversity. Through a thorough examination of methodological aspects, including experimental and data analysis approaches, our review exposes significant gaps and limitations in current thermal experience research. The paper proposes key recommendations to advance the field, emphasizing the importance of a comprehensive environmental portrayal, standardized perceptual descriptors, multidomain studies, and dynamic thermal research. Advocating for investigations into individual thermal variable influences, within-subject experiments, and addressing cognitive interferences, the review also highlights the need for improved data granularity, standardized EEG protocols, and a broader exploration of EEG analysis methods. Addressing these aspects is vital for establishing a more consistent knowledge base, enhancing research reliability, and improving result communication. Our findings contribute to a deeper understanding of human thermal experience, providing recommendations to bridge identified gaps and limitations, fostering a more robust foundation for future research in this domain.
KW - Cognition
KW - EEG
KW - Indoor environmental quality
KW - Thermal comfort
KW - Thermal perception
UR - https://www.scopus.com/pages/publications/85190941758
U2 - 10.1016/j.buildenv.2024.111533
DO - 10.1016/j.buildenv.2024.111533
M3 - Review Article
AN - SCOPUS:85190941758
SN - 0360-1323
VL - 257
JO - Building and Environment
JF - Building and Environment
M1 - 111533
ER -