Older motorists often have problems in traffic, especially in complex traffic situations, which force to rapid information acquisition and processing and decisions and actions. They also have problems at dusk and in the dark, as well as at high speed threading. In the aging process of a healthy human, a number of cognitive benefits remain, such as crystalline intelligence, i. semantic knowledge and "age wisdom". However, cognitive functions are also affected by age-related performance degradation, particularly those cognitive performance associated with parts of the forebrain, such as executive functions (decision making, problem solving ability, cognitive flexibility, rules recognition, and feedback processing ), Memory services, in particular working memory services and the relearning of information.
The aim of the project is the development, the construction and the empirical examination of an age-appropriate acoustic driver assistance system, which is tailored to the needs of the ever-growing group of individual mobile older drivers and its inclusion in the product portfolio also makes economic sense for the automobile manufacturers and suppliers. These age-appropriate driver assistance systems must meet the requirements for technology, safety, comfort and design and are a step on the long road to autonomous driving.
Project Supervisor at the Department of Mechatronics:
Participating Chairs / Departments at the UDE:
- Lehrstuhl für Mechatronik (Prof. Schramm)
- Lehrstuhl für ABWL & Internationales Automobilmanagement (Prof. Proff)
- Lehrstuhl für Allgemeine Psychologie: Kognition (Prof. Brand)
Belonging to the main focus of the Faculty of Engineering at the UDE:
Link to the faculty (main focus): www.uni-due.de/iw/de/forschung/psp