You're using Internet explorer as browser: to enjoy the most complete expierence on our website, we recommend using a newer browser, such as Firefox, Chrome or Safari.
AUGMENTO aims to revolutionize the interaction between humans and autonomous vehicles by bringing the human user “in-the-loop.”
The project develops an advanced system that monitors in real time the psychophysiological state of the driver/passenger through wearable devices and neuroscientific methodologies, adapting both the behavior of the autonomous driving controller and the communication methods with the user.
The goal is to ensure a safer, more personalized, and immersive interaction, also leveraging Augmented Reality technologies for effective and empathetic human-machine communication.
AUGMENTO aims to revolutionize the interaction between humans and autonomous vehicles by bringing the human user “in-the-loop.”
The project develops an advanced system that monitors in real time the psychophysiological state of the driver/passenger through wearable devices and neuroscientific methodologies, adapting both the behavior of the autonomous driving controller and the communication methods with the user.
The goal is to ensure a safer, more personalized, and immersive interaction, also leveraging Augmented Reality technologies for effective and empathetic human-machine communication.
AUGMENTO is a project funded by the Italian National Recovery and Resilience Plan (PNRR) under the MOST initiative for sustainable mobility. It aims to address one of the main shortcomings in autonomous driving systems: the exclusion of the user from the decision-making process.
Through collaboration among partners with expertise in neuroscience, software engineering, and traffic psychology, the project seeks to integrate psychophysiological parameters of the human user into the control system of the autonomous vehicle.
AUGMENTO involves the development of immersive and adaptive interfaces based on Augmented Reality, designed to communicate efficiently and in a personalized way with the user, according to their psychological and cognitive state.
AUGMENTO is a project funded by the Italian National Recovery and Resilience Plan (PNRR) under the MOST initiative for sustainable mobility. It aims to address one of the main shortcomings in autonomous driving systems: the exclusion of the user from the decision-making process.
Through collaboration among partners with expertise in neuroscience, software engineering, and traffic psychology, the project seeks to integrate psychophysiological parameters of the human user into the control system of the autonomous vehicle.
AUGMENTO involves the development of immersive and adaptive interfaces based on Augmented Reality, designed to communicate efficiently and in a personalized way with the user, according to their psychological and cognitive state.
AUGMENTO aims to build a human-machine interface capable of adapting to the specific characteristics of each user, improving the in-vehicle experience and supporting more natural interactions between humans and technology — fundamental for building trust and encouraging the adoption of autonomous driving.
AUGMENTO aims to build a human-machine interface capable of adapting to the specific characteristics of each user, improving the in-vehicle experience and supporting more natural interactions between humans and technology — fundamental for building trust and encouraging the adoption of autonomous driving.
Objective 1: Integrate the user's psychophysiological state into the autonomous driving system
The project aims to include real-time information on the mental and physical state of the user (driver and/or passenger), collected via wearable devices and neuroscientific technologies, into the data flow available to the autonomous driving controller.
Objective 2: Dynamically adapt the controller’s behavior
Based on the detected state, the system will be able to modify the intervention methods of the autonomous driving controller, adapting the driving style and the level of assistance provided according to the user’s attention level, stress, or fatigue.
Objective 3: Personalize interaction through Augmented Reality
The system will be able to regulate the quantity, type, and channel of information delivered to the user in a personalized and immersive way, leveraging Augmented Reality technologies.
Objective 1: Integrate the user's psychophysiological state into the autonomous driving system
The project aims to include real-time information on the mental and physical state of the user (driver and/or passenger), collected via wearable devices and neuroscientific technologies, into the data flow available to the autonomous driving controller.
Objective 2: Dynamically adapt the controller’s behavior
Based on the detected state, the system will be able to modify the intervention methods of the autonomous driving controller, adapting the driving style and the level of assistance provided according to the user’s attention level, stress, or fatigue.
Objective 3: Personalize interaction through Augmented Reality
The system will be able to regulate the quantity, type, and channel of information delivered to the user in a personalized and immersive way, leveraging Augmented Reality technologies.
TXT contributes to the development and integration of the software system that links the user's psychophysiological data to the autonomous driving controller.
It also designs immersive interfaces in Augmented Reality and the digital architecture required to adapt vehicle-user communication in real time. With strong expertise in high-tech and intelligent systems, TXT leads the engineering and technical validation activities of the prototype.
TXT contributes to the development and integration of the software system that links the user's psychophysiological data to the autonomous driving controller.
It also designs immersive interfaces in Augmented Reality and the digital architecture required to adapt vehicle-user communication in real time. With strong expertise in high-tech and intelligent systems, TXT leads the engineering and technical validation activities of the prototype.
Project Number: B83C22002900007
Funding Entity: “Centro Nazionale Per La Mobilità Sostenibile" - MOST
Project Duration: 5 months
Start Date: 1 June 2025
End Data: 31 October 2025
Project Budget: €406.826,45 (contribution: €296.915,21)
Project Number: B83C22002900007
Funding Entity: “Centro Nazionale Per La Mobilità Sostenibile" - MOST
Project Duration: 5 months
Start Date: 1 June 2025
End Date: 31 October 2025
Project Budget: €406.826,45 (contribution: €296.915,21)