Prediction of Human Performance Using Electroencephalography under Different Indoor Room Temperatures

• DOI: 10.3390/brainsci8040074
• Publication Date: 2018-04-24T08:44:48Z
• Authors: Tapsya Nayak; Tinghe Zhang; Zijing Mao; Xiaojing Xu; Lin Zhang; Daniel J. Pack; Bing Dong; Yufei Huang
• Keywords: 03 medical and health sciences; human performance; 0302 clinical medicine; Neurosciences. Biological psychiatry. Neuropsychiatry; electroencephalography (EEG); indoor room temperature; performance prediction; office-work tasks; human performance; performance prediction; indoor room temperature; office-work tasks; electroencephalography (EEG); Article; RC321-571

Varying indoor environmental conditions is known to affect office worker’s performance; wherein past research studies have reported the effects of unfavorable temperature and air quality causing sick building syndrome (SBS) among workers. Thus, investigating factors that can predict performance in changing environments become a highly important topic bearing significant impact our society. While attempted determine predictors for performance, they do not provide satisfactory prediction ability. Therefore, this preliminary study, we attempt during office-work tasks triggered by different room temperatures (22.2 °C 30 °C) from human brain signals recorded using electroencephalography (EEG). Seven participants were recruited, whom EEG, skin temperature, heart rate thermal survey questionnaires collected. Regression analyses carried out investigate effectiveness EEG power spectral densities (PSD) as performance. Our results indicate PSDs highest R² (> 0.70), 17 times higher than other physiological more robust. Finally, paper provides insight on selected based activity patterns low- high-performance levels under indoor-temperatures.