Cultural Heritage

The main goal is to introduce AI techniques in the interaction design to: i) enable mechanisms multi-modal natural interaction (gestural, vocal, bio-feedback, etc.) in augmented, virtual and mixed reality environments; ii) allow the learning of user interaction patterns and therefore the design of highly personalized interaction solutions based on user preferences or any cognitive and/or motor disabilities. Potential applications: i) precision human-machine interaction, i.e. identifying the optimal tailoring of the interface to specific users based on their personal preferences, emotional state, current situation, tasks to be performed; ii) Virtual/Augmented reality with AI-powered sensing & actuation, to improve the user’s perception within the virtual environment by optimizing the visual and sound feedback that the environment returns (e.g., bio-feedback, to encourage the user to implement control strategies); iii) Human-AI collaboration, with “human-in-the-loop” approaches in the AI learning phase.