Multi-Level Information Processing Systems in the Digital Twin Era

The most challenging aspect of the scientific panorama linked to technological innovation is the search for possible connections between Representation, Man and Artificial Intelligence (AI) in the complex ecosystem that defines a Digital Twin. Man plays a crucial role in facilitating communication processes both for the dissemination of knowledge and the accessibility and usability of content and for his ability to become a “sensor” and communicate information, feelings, emotions. The contribution proposes a cross-section of applications that link and decline Augmented Reality and AI differently according to a gradual scale shift from the artefact contained in a building overlooking an urban context of interest. The result is a multi-level information processing system derived from the three-dimensional matrix that links data collection, representation and visualisation techniques and tools with the cultural heri-tage – city, building, artefact – according to specific use cases.

Interactive Information Models and Augmented Reality in the Digital Age

The construction industry in the digital era has seen significant changes in design, construction, and spatial process learning through new technological systems. These processes influence management and how data is collected, cataloged, and monitored using sensors and connected users. The real challenge that the digital era imposes on the society of the future is to define new secure and resilient digital models coupled with interoperable methods that minimize the impacts of our built heritage throughout its lifecycle. For these reasons, new models are being investigated to educate, gain detailed knowledge of places, design inclusive spaces that meet users’ needs and finally manage and maintain the built heritage. New technologies of Augmented and Virtual Reality support principals and users to define stable and interoperable relational processes. Although the challenge is ambitious, it is essential to find efficient solutions in governance policies for the city’s future.