Occupant Persona

Occupant persona research aims to create detailed representations of building users to improve building design and operation. Current efforts focus on leveraging machine learning, particularly classification algorithms, to analyze diverse datasets (including demographic information, behavioral patterns, and physiological data) and automatically generate personalized profiles predicting occupant preferences, such as thermal comfort. This allows for more efficient and accurate prediction of occupant needs, enabling the development of adaptive building systems that optimize energy use and enhance occupant well-being, moving beyond a one-size-fits-all approach.