Modeling subjective temperature using physiological index

Abstract

It is known that comfort is affected by various factors such as sensible temperature, air quality, light, sound, and floor area. Among them, the sensible temperature has a great influence on comfort and has been studied extensively. A new standard effective temperature has resulted from a study of the typical quantification of sensible temperature. However, the model has two problems: The first is that individual differences cannot be considered. Second, there are factors that cannot be considered among the factors for sensible temperature. In this research, subjective temperature is predicted using individual physiological data. By doing this, we expect to see the individual differences that could not be observed using the existing method. Moreover, there is a possibility that subjective temperature can be predicted without considering many factors.