QinU-ABMS

Intelligent environments are characterized by the physical and informational interaction between occupants and the built environment (e.g., a person's interactions in a smart home). In this paradigm, the user does not need to interact explicitly with applications (via touchscreen, mouse, etc.) but rather performs everyday activities (moving around, using objects, etc.) that the smart environment interprets as implicit inputs with the aim of providing proactive and relevant results.

To ensure the adoption of these new applications, it's important to assess the quality of interaction with users, otherwise known as quality of use (QoU). When these users are disabled or elderly, it's essential to ensure QdU upstream.

The aim of this thesis is to build an approach based on artificial intelligence (AI) techniques for upstream QoU assessment in intelligent environments. This approach is based on: i) AI methods for modeling user profiles in intelligent environments; ii) the definition of suitable metrics for predicting QoU in these environments; iii) the design of an agent system supporting the modeling and simulation of interactions in this context.

The aim of this thesis is to build an approach based on artificial intelligence (AI) techniques for the upstream assessment of QoU in intelligent environments.