In this study, subjects’ attention abilities in seven predicted mean vote (PMV) conditions (−3 to +3) were measured using electroencephalograms (EEGs). A total of 49 EEG recordings were performed (in seven PMV conditions for seven subjects), each lasting for 65 min. EEGs were recorded through the scalp and sorted by frequency using power spectral analysis. The best PMV condition for attention ability changed over time, from slightly cooler temperatures to higher temperatures. However, extreme PMV conditions led to poor attention ability during the experiment. The highest attention level was at PMV +1, according to our EEG analysis, but was reported as both PMV 0 and + 1 by the subjects. The lowest attention level was in higher temperature conditions (PMV +2, +3), according to subjects’ own evaluations, while the lowest brain activity was measured in lower temperature conditions (PMV -2, −3).
|Number of pages||6|
|Journal||Building and Environment|
|Publication status||Published - 2019 Jan|
Bibliographical noteFunding Information:
This research was supported by the National Research Foundation of Korea grant funded by the Korean government (No. NRF-2017R1A2B4012122 ).
This research was supported by the National Research Foundation of Korea grant funded by the Korean government (No. NRF-2017R1A2B4012122).
© 2018 Elsevier Ltd
All Science Journal Classification (ASJC) codes
- Environmental Engineering
- Civil and Structural Engineering
- Geography, Planning and Development
- Building and Construction