Category: Alejandro Romero

Abstract This paper delves into the transformative impact of deep learning in the integration of geosocial network-derived urban imaginaries into the Kansei engineering framework. By harnessing the dynamic and rich datasets obtained from platforms such as Instagram and Twitter, the study constructs a comprehensive Kansei semantics database, capturing real-time, location-specific emotional responses tied to urban […]

The current architectural design bases its project configuration on functional aspects typical of the type of architecture to be built, and on formal aspects typical of a design idealized by the designer architect. The differentiating concept of this type of architectural projection is emotional design, which sets the tone for design centered on the user […]