Abteilung Fahrzeugtechnik
Refine
Year of publication
- 2015 (2) (remove)
Document Type
- Article (1)
- Conference Proceeding (1)
Language
- English (2) (remove)
Keywords
- Simulation (2)
- Ablenkung (psychol) (1)
- Accident prevention (1)
- Accident reconstruction (1)
- Active safety system (1)
- Aktives Sicherheitssystem (1)
- Antikollisionssystem (1)
- Attention (1)
- Aufmerksamkeit (1)
- Beanspruchung (1)
Institute
- Abteilung Fahrzeugtechnik (2)
- Sonstige (1)
This paper presents findings of a laboratory experiment which aimed at evaluating the sensitivity and intrusiveness of Tactile Detection Response Task (TDRT) methodology. Various single-task, dual-task and triple-task scenarios were compared. The task scenarios included a surrogate of driving (tracking task) and different secondary tasks (N-back, surrogate reference task (SuRT)). The results suggest that the TDRT is sensitive to load levels of secondary tasks which primarily demand for cognitive resources (N-back). Sensitivity to variations of visual"manual load could not be shown (SuRT). TDRT seems also to be able to differentiate between modes of primary task which varies in terms of cognitive load (visual against auditory tracking task). Results indicated intrusiveness of TDRT on primary task performance and secondary task performance depending on the type of underlying task scenario. As a conclusion, TDRT can be recommended as a method to assess attentional effects of cognitive load of a secondary task, but should be used with caution for secondary tasks with strong motor demands.
The project UR:BAN "Cognitive assistance (KA)" aims at developing future assistance systems providing improved performance in complex city traffic. New state-of-the-art panoramic sensor technologies now allow comprehensive monitoring and evaluation of the vehicle environment. In order to improve protection of vulnerable road users such as pedestrians and cyclists, a particular objective of UR:BAN is the evaluation and prediction of their behaviour and actions. The objective of subproject "WER" is development support by providing quantitative estimates of traffic collisions at the very start and predict potential in terms of optimized accident avoidance and reduction of injury severity. For this purpose an integrated computer simulation toolkit is being devised based on real world accidents (GIDAS as well as video documented accidents), allowing the prediction of potential effectiveness and future benefit of assistance systems in this accident scenario. Subsequently, this toolkit may be used for optimizing the design of implemented assistance systems for improved effectiveness.