The current study is aimed at evaluating the combined effects of indoor noise, light and temperature on human neurophysiological responses. This study included 34 individuals who were exposed to varying temperatures (16
degrees Celsius, 22 degrees Celsius, and 31 degrees Celsius), light (150 lumens per meter square, 250 lumens per meter square, and 500 lumens per meter square), and noise levels (20 decibels, 50 decibels, and 90 decibels) in 27
sessions in a simulated indoor setting. 67% accuracy was achieved for KNN model. Accuracy can be increased with increasing amount of data of participants. Furthermore, the effects of temperature on heart rate were more substantial than the effects of noise. Overall, noise for longer duration has a stronger negative impact on working memory of male, whereas temperature has a more severe influence on neurophysiological response of female. On other hand, male performed well in high temperature than female. To the best of our knowledge, this is the first study to examine the relationship between ECG and IEQ. The study culminated with directions for further studies.

Keywords
Electrocardiogram, Machine learning, Noise, Temperature, Light.