Imagine a car that knows exactly when you are stressed or confused and changes its dashboard and alerts to help you out. It's like having a co-pilot that adjusts its communication style based on who is driving. This helps prevent accidents when the car hands control back to the human driver.
Current automated driving features are too generic, leading to driver confusion and distrust. This causes dangerous situations during the handover of control from the car to the human.
Adaptive human-technology interfaces, personalized driver training methods, and business models for industrial certification.
If you are a vehicle OEM dealing with low consumer trust in Level 2–3 automation — this project developed adaptive interfaces that reduce cognitive stress. This ensures a safer handover between the car and the driver, reducing crash risks.
If you are a software developer dealing with rigid user interfaces that don't fit all drivers — this project developed personalized training methods and adaptive HTI solutions. This allows your software to be more inclusive and user-friendly for diverse driver groups.
If you are a fleet operator dealing with driver fatigue and mode confusion in automated trucks — this project developed driver monitoring and adaptive interfaces. This improves safety and helps meet the goal of eliminating road fatalities.
Based on available project data, specific pricing or cost structures are not provided, although the project will deliver business models to support industrial uptake.
Yes, the project includes 6 industry partners and focuses on providing upgradeability guidelines and business models to facilitate industrial adoption.
Based on available project data, specific licensing terms are not listed, but the project aims to provide policy recommendations and certification support for the industry.
The project aligns with the EU's Vision Zero target to eliminate road fatalities by 2050 and focuses on standardisation and certification for automated mobility.
The project runs from 2026-06-01 to 2029-05-31, meaning validated solutions will be available toward the end of this period.
The consortium is heavily weighted toward commercial application, with a 55% industry ratio consisting of 6 industrial partners, including 4 SMEs. This balance, combined with 3 universities and 2 research centers across 6 countries, suggests a strong focus on translating research into marketable products rather than purely academic study.
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Contact us to track the validation results of these adaptive interfaces.
