AI for Facial Autobiographical Memory Recovering and Transmission. A Study for a Mobile and Web Application

Drawing on research conducted within the ERC Consolidator Project FACETS, this presentation aims at describing the state of art of solutions currently offered by AI for coping with loss of memory and identity in the pandemic scenario and at discussing advantages and disadvantages of these digital tools. On the one side, the presentation will focus on how the interpersonal physical distance imposed because of the risk of contagion might be dealt with by applications based on Artificial Intelligence purposed to mitigate the loss of memory in elderly people by building new bridges between them and the generation of digital natives. On the other side, the paper will concentrate on obstacles that hamper the adoption of Artificial Intelligence across the generations. Lack in digital literacy as well as inappropriate interaction design as obstacles to effective cooperation between humans and artificial intelligence will be particularly stressed.Finally, the presentation aims at presenting a concept study for a mobile and web application for autobiographical memory recovering, digitalization, preservation, recreation and transmission. The app is intended to bear on the visage as a memory and identity catalyst so as to enhance the neurophysiological functions of users, training their memory, and improving their ability to communicate.