This study investigates the effects of indoor air quality (IAQ) parameters (short term-changes in indoor CO2 and PM2.5 concentration) on four human bio signals. Pearson correlation, stepwise linear regression and random forest are applied in data analysis. The bio-signals (among four bio-signals) most associated with IAQ parameters, participants’ IAQ evaluation and thermal comfort are determined. The factors (including indoor temperature, indoor relative humidity, four human bio-signals, and two IAQ parameters) most associated with participants’ IAQ evaluation and thermal comfort are determined.
