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Friday, May 29, 2026 · 14 words · 101 characters

From automation to collaboration: AutHUMate launches to redefine trust and safety in assisted driving

A new Horizon Europe project developing adaptive human–technology interaction strategies for safer and more human-centered vehicle automation.

Aachen, Germany, 5 May 2026 – The Horizon Europe project AutHUMate (Adaptive User Training & Human-Technology Interaction Strategy for Enhanced Traffic Safety) has officially launched with a Kick-off Meeting hosted by RWTH Aachen University in Aachen, Germany. The AutHUMate project, initiated by Dr. Stefan Ladwig, Head of the Traffic Psychology Division, brings together a multidisciplinary consortium of research institutions, universities, leading industry companies, and mobility experts from across Europe. It aims to improve road safety by addressing one of the key challenges in assisted and automated driving: the gap between advanced vehicle technologies and real-world human behaviour. In light of recent incidents involving TESLA and XIAOMI systems, Prof. Dr. Lutz Eckstein, director of ika, sees the European project as an opportunity to jointly explore design principles for trustworthy interaction with automated driving functions.

As SAE Level 2-3 driver assistance and automation systems become increasingly widespread, many drivers still struggle to fully understand how and when these systems should be used. This can lead to both overreliance on automation and mistrust or disuse of assistance systems, ultimately compromising safety. AutHUMate will develop a self-learning Human-Technology Interaction (HTI) strategy capable of adapting in real time to the driver’s state, behaviour and surrounding driving context. By combining advanced driver monitoring, contextual sensing technologies and inclusive multimodal interfaces, the project seeks to support safer, more intuitive and more trustworthy interactions between drivers and automated systems.

The project introduces a novel “team-up” philosophy, where automation acts as a collaborative partner rather than a passive tool or commanding authority. Through adaptive communication and personalised support, AutHUMate aims to reduce mode confusion, improve driver readiness and strengthen calibrated trust in assisted driving technologies. A major innovation of the project is its dual training approach, combining immersive VR/AR pre-driving experiences with adaptive micro-coaching during real driving situations. This hybrid model is designed to help drivers build a more accurate understanding of automated systems while preparing them for rare but critical traffic scenarios.

AutHUMate also places strong emphasis on inclusiveness and societal readiness. The project will consider the needs of diverse user groups, including young and inexperienced drivers, elderly users, professional drivers and people with accessibility needs, ensuring that future assisted driving systems are designed to be both technically robust and socially accepted. The project contributes to Europe’s broader ambitions for safer, more sustainable and human-centred mobility, supporting the EU Road Safety Policy Framework 2021-2030 and the Vision Zero objective of eliminating road fatalities by 2050.

Over the coming months, the consortium will focus on developing the technical requirements for adaptive interfaces, driver-in-context models, training methodologies and validation activities.

AutHUMate is funded by the European Union under the Horizon Europe programme (Grant Agreement No. 101269748).


About AutHUMate

AutHUMate (Adaptive User Training & Human-Technology Interaction Strategy for Enhanced Traffic Safety) is a Horizon Europe research and innovation project focused on improving the safe and inclusive use of assisted and automated driving technologies through adaptive Human–Technology Interaction strategies. The project combines expertise in engineering, behavioural sciences, mobility, human factors and automation to create personalised, context-aware interaction and training approaches for SAE Level 2–3 automated driving systems.

Project acronym: AutHUMate
Grant Agreement: 101269748
Programme: Horizon Europe
Coordinator: RWTH Aachen University

For more information, project updates and future announcements, follow the upcoming AutHUMate communication channels.


About Institute for Automotive Engineering (ika) of RWTH Aachen University

As part of RWTH Aachen University, the Institute for Automotive Engineering (ika) researches the entire vehicle, including its systems and their interactions. From the initial idea through innovative component and system concepts to vehicle prototypes, the Institute's employees are shaping the vehicle of the future. The ika makes a recognized contribution to solving current and future challenges both in public projects and in cooperation with automobile manufacturers and suppliers.

The basis of our intensive research work for large parts of the automotive industry as well as public funding bodies at EU, federal and state level is our extensive infrastructure, which ranges from drive, battery, chassis and tire test benches to acoustic, thermodynamic and servo-hydraulic test facilities to a complete vehicle crash facility and test tracks including state-of-the-art measurement technology. In addition, there is up-to-date software and hardware equipment for all necessary simulation disciplines. ika employs about 120 permanent staff and more than 80 student assistants. In addition, around 100 student research and development projects are carried out on a permanent basis.


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Press contact

Institute for Automotive Engineering (ika), RWTH Aachen University
Steinbachstr. 7
52074 Aachen
Germany

Nikola Druce M.A.
Head of PR/Media
+49 241 80-25668
Email

Contact

Ida Kuck M.Sc.
+49 241 80-23893
Email

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Link

www.ika.rwth-aachen.de

Media Contact

LuxMobility
Communication and dissemination partner for AutHUMate
Email: a.marzorati@luxmobility.eu
Website: luxmobility.eu

Address

Institute for Automotive Engineering (ika)
RWTH Aachen University
Steinbachstraße 7
52074 Aachen · Germany

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+49 241 80 25600

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