New Interpretative Models for the Study of Urban Space

The research project aims to acquire data on the impact of an environment on humans. The pro-cess is based on the use of the EEG helmet synchronised to GPS: the EEG helmet is a device that non–invasively records 14 channels of the human brain through electrodes and, through an algorithm, transforms them into cognitive states in real time. Starting from this raw data, through the ‘circumplex model’, cognitive states can be transformed into emotions with the aim of showing what people on average feel in a given urban space. The data, which are linked through GPS to a position in space, are empirically recorded with statistically significant samples from which emotions are reprojected onto the mesh of the digitally reconstructed environment through a process of photomodelling.