HANF - Highly automated and user specific driving

The increasing urbanisation and the changed social mobility imply new challenges for the individual and customizable mobility. Developments within the automotive sector are eminently characterized by information and communication technologies as for example in the field of highly automated driving, which shows an enormous potential for the comfort and efficiency of social mobility. From a technological point of view, automated driving has strongly developed in the past few years but the user-centred and socially compatible introduction of new technologies in the automotive sector is a major challenge. This is especially true for automated driving. Even though there are many undeniable advantages for society, users have concerns about loss of control/responsibility or an external encroachment. What has been lacking so far is a systematic processing of user specific factors for an information design which determines the relevant acceptance factors of automated driving. These factors can be integrated into the developing process, the testing and market introduction of automated driving vehicles. The goal of the project is to establish and validate a “designspace” for the characteristics of drivers (attitude, prior knowledge, mental models), which contains different driving scenarios. This should combine the requirements of the information design in vehicles and relevant acceptance factors of users (data-sharing, -storage, -protection) of highly automated driving systems.


Strategiefund/Exini, im Rahmen der Ausschreibung des Profilbereichs Information & Communication Technology der RWTH Aachen University “ICT Foundations of a Digitized Industry, Economy, and Society”

Funding Period:



Teresa Schmidt, M.A.

Ralf Philipsen, M.Sc.

Project Partner:

Lehrstuhl für Communication Science (Prof. Dr. Martina Ziefle)

Institut für Kraftfahrzeuge (Prof. Dr. Lutz Eckstein)