Imagine a car that learns how you drive and adjusts its warnings and help based on your mood and the road conditions. It's like having a digital driving instructor that uses games to teach you how to use autopilot safely. This prevents people from either ignoring the tech or trusting it too much, making the ride safer for everyone.
Drivers often misuse or avoid advanced driving systems because they don't understand how they work or don't trust them. This leads to safety risks and poor adoption of expensive vehicle technology.
An adaptive Human-Technology Interaction strategy featuring a driver-in-context model, multimodal interfaces, and a dual game-based training system.
If you are a vehicle OEM dealing with customers who misuse or disable driver assistance features — this project developed a driver-in-context model that adapts communication in real time to prevent mode confusion and balance trust.
If you are a software provider dealing with rigid user interfaces that don't account for driver readiness — this project developed multimodal interfaces and in-car gamification that adapts to the user's behavior.
If you are a fleet operator dealing with professional drivers struggling to adopt new automation tools — this project developed a dual training approach using game-based learning to build baseline understanding and safety.
Based on available project data, there is no information regarding the cost or pricing of the developed technology.
The project involves 5 industry partners and validates technology in real traffic environments, suggesting a path toward industrial scale, though specific scaling metrics are not provided.
Based on available project data, the specific IP and licensing terms for the adaptive HTI strategy are not disclosed.
The system uses a closed sensing-action-learning loop that combines in-cabin and contextual data to drive multimodal interfaces.
The project runs from 2026-04-01 to 2029-03-31, indicating that results will be available by early 2029.
The consortium is well-balanced for technology transfer, featuring 14 partners across 8 countries. With an industry ratio of 36% (5 companies, including 3 SMEs), there is significant commercial interest and a clear pipeline for moving the research from the 3 universities and 4 research institutes into real-world automotive applications.
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