Eine Kreuzungsfahrt - was ist daran so schwierig?

Dass Kreuzungsfahrten schwierig sind, belegen Unfallzahlen eindrucksvoll: Unfälle beim Abbiegen, Einbiegen oder Kreuzen führten beispielsweise in 2003 zu 35% aller Unfälle mit Personenschaden. Offensichtlich stellt die Situation an Kreuzungen besondere Anforderungen an die Fahrer, die sie teilweise nicht bewältigen können, so dass Unfälle geschehen. Ein möglicher Ausweg aus dieser Situation ist es, über Fahrerassistenzsysteme den Fahrer an Kreuzungen so zu unterstützen und zu entlasten, dass die Kreuzungsfahrt sicherer wird. Damit dies gelingt, müssen zunächst die Ursachen für Belastungen des Fahrers, Fahrfehler und Unfälle untersucht werden, d.h. es ist die im Titel gestellte Frage zu beantworten "Eine Kreuzungsfahrt - was ist daran so schwierig?&quot

Haptic Warning Signals at the Steering Wheel: A Literature Survey Regarding Lane Departure Warning Systems (Short Paper)

Using the haptic modality to transfer information to the driver is recognized as a promising possibility in many in-vehicle applications. In the field of lane departure warning systems, several haptic warning signals were presented in the last years. The application of synthetic steering wheel torque or vibration informs the driver of an imminent lane departure. In this paper, an approach to classify the existing signals is provided. The examination of the literature reveals diversity in type and parameterization of the warning signals as well as methodical differences, complicating comparability. While the general effectiveness of haptic warning signals at the steering wheel could be proven, there still is room for improvement. Based on the findings, the authors derive hy- potheses concerning requirements from a user’s point of view

1st Workshop on Understanding Automation: Interfaces that Facilitate User Understanding of Vehicle Automation

This workshop addresses how in-vehicle interfaces could be designed to support humans in understanding how highly automated vehicles (HAVs) operate. Current practices describe levels of automation in terms of technological limitations and expect users to accommodate. However, humans might not be able to understand the implications of technical limitations. Therefore we discussed how automation could be designed to understand the behavioral limitations and proclivities of human users. It also addresses how human-machine interfaces could provide users with an accurate mental model of automation. While transparency is often promoted as a crucial design principle for human-automation interfaces, doing so without thought can give rise to information overload. As outcomes, we identified potential misunderstandings that humans might hold of automated systems, how these misunderstandings can be resolved with novel interfaces, and what measures could be taken to develop automated systems that are easily understandable and capable of understanding their users in return

Fully automated driving:Impact of trust and practice on manual control recovery

Objective: An experiment was performed in a driving simulator to investigate the impacts of practice, trust, and interaction on manual control recovery (MCR) when employing fully automated driving (FAD). Background: To increase the use of partially or highly automated driving efficiency and to improve safety, some studies have addressed trust in driving automation and training, but few studies have focused on FAD. FAD is an autonomous system that has full control of a vehicle without any need for intervention by the driver. Method: A total of 69 drivers with a valid license practiced with FAD. They were distributed evenly across two conditions: simple practice and elaborate practice. Results: When examining emergency MCR, a correlation was found between trust and reaction time in the simple practice group (i.e., higher trust meant a longer reaction time), but not in the elaborate practice group. This result indicated that to mitigate the negative impact of overtrust on reaction time, more appropriate practice may be needed. Conclusions: Drivers should be trained in how the automated device works so as to improve MCR performance in case of an emergency. Application: The practice format used in this study could be used for the first interaction with an FAD car when acquiring such a vehicle