The study investigates the possibility of the use of bio-signals to assess indoor environmental satisfaction in multi-occupancy conditions while solving out the potential conflict between different occupants’ diverse environmental preferences. This study adopted multiple Machine-Learning algorithms to identify the relationship between bio-signals and IEQ in multi-occupancy condition. Considering all human bio-signals, IEQ elements, and gender demonstrated greater than 90% accuracy for estimating IEQ satisfaction in multi-occupant condition.
