An AI-based Virtual Assistant for Mental Training

This thesis embarks on an exploration of Generative Artificial Intelligence within the context of Mental Economy Training, an innovative cognitive enhancement approach. The primary objective is the development of a sophisticated Virtual Assistant tailored specifically for MET application users. MET involves a collection of cognitive games strategically designed to augment neural efficiency and optimize cognitive abilities. The Virtual Assistant at the heart of this study exploits advanced Generative AI techniques to provide users with a seamless and personalized experience in navigating the intricacies of MET. Leveraging the capabilities of the OpenAI API, the Virtual Assistant engages users in dynamic and interactive dialogue. This functionality empowers the assistant to offer tailored guidance, detailed explanations, and constructive feedback throughout the user's engagement with the MET framework. The integration of Generative AI not only enhances the responsiveness of the Virtual Assistant but also contributes to the adaptability of the system in addressing individual user needs. This thesis delves into the intricacies of the design, implementation, and functionality of the Virtual Assistant, examining its role in optimizing the cognitive training experience for MET users. The utilization of cutting-edge AI technologies represents a pivotal aspect of this research, with a focus on the practical application of Generative AI to enhance user engagement and overall effectiveness in the context of Mental Economy Training. Through an in-depth exploration of the synergies between Generative AI and MET, this thesis aims to contribute valuable insights to the fields of cognitive science, AI, and human-computer interaction.