Driver-initiated take-overs during critical braking maneuvers in automated driving - The role of time headway, traction usage, and trust in automation.

Transitions of vehicle control between automated vehicle and driver remain a necessity in the near future. Most research focuses on system-initiated transitions of control. However, drivers may also actively decide to take over without being prompted by the automation. The present study aims to uncover predictors of such driver-initiated take-overs in automated driving and to examine their impact on traffic safety. We conducted two driving simulator studies with a total of 100 participants examining whether trust in automation and the criticality of the driving situation predict driver-initiated take-overs during highly dynamic braking maneuvers. Trust was varied via automation reliability in a prior induction phase, while criticality was manipulated via different levels of time headway (THW) and traction usage (TU). Potential limitations of study 1 concerning trust induction and predictor operationalization were addressed and eliminated in study 2. Results of both studies show that drivers' trust in automation and THW affected the probability of driver-initiated take-overs. TU affected take-over probability only in interaction with THW and trust. Moreover, TU was associated with rear-end collisions. Our experiments demonstrate that driver-initiated take-overs in automated driving do occur and that drivers' subsequent behavior may impair traffic safety. A better understanding of driver-initiated take-overs helps to increase the safety potential of automated vehicles, e.g., by designing assistance systems which will support drivers who initiate a take-over under critical, highly dynamic conditions.

What happens when drivers of automated vehicles take over control in critical brake situations?

Even with automated vehicles, driving situations with short time headways and extreme vehicle dynamics may arise when unpredictable events occur. If drivers take back control under such conditions, it is uncertain how they behave and how well they can cope with the situation. This issue has not been investigated yet and is subject to our study. In a driving simulator, non-distracted participants (N = 42) experienced nine critical situations caused by a braking vehicle in front of them. Time headway and longitudinal vehicle dynamics were varied to create different degrees of objective criticality. Participants' criticality ratings, take-over behavior, and driving performance were recorded and analyzed. The results indicate that participants were sensitive to changes in objective criticality and adapted their behavior. Take-over times were very fast under all conditions and participants showed higher criticality ratings, more intense decelerations, and more lane changes with increasing objective criticality. To avoid a collision, participants decelerated much more than the automation and changed lanes, even though this was not necessary. Thereby, they raised the risk of vehicle instability, rear-end collisions, and collisions with overtaking vehicles. To conclude, take-overs in critical brake situations may be a threat to the safety of drivers and other road users because drivers' reactions are more pronounced than necessary. These results suggest that assistive functions are required to support drivers in critical take-over situations.

Display clutter and its effects on visual attention distribution and financial risk judgment.

Display clutter is a widely studied phenomenon in ergonomics, where information density and other properties of task-relevant visualizations are related to effective user performance and visual attention. This paper examines the impact of clutter in the context of financial stock visualizations. Depending on their expertise, traders can use a variety of different cues to judge the current and future value of a stock and to assess its riskiness. In our study, two groups of participants (novices and experts) judge the riskiness of 28 pairs of stocks under two clutter conditions (low and high). Consistency of judgments and group concordance serve as measures for judgment performance, while mean fixation duration, fixation frequency, and transition matrix density are employed to capture visual attention. Our results reveal significant effects of display clutter and expertise on both the performance measures as well as the visual attention measures.

BeMobil: Developing a user-friendly and motivating telerehabilitation system for motor relearning after stroke.

Motor relearning after stroke is a lengthy process which should be continued after patients get discharged from the clinic. This project aims at developing a system for telerehabilitation which enables stroke patients to exercise at home autonomously or under supervision of a therapist. The system includes haptic therapy devices which are more promising and beneficial for stroke rehabilitation than non-haptic approaches. In this paper, we present the results of two initial studies investigating specific design solutions for the patient's user interface. In the first study, we developed four interactive prototypes illustrating different navigation concepts. A usability test was conducted to identify the best suitable concept. In the second study we followed a participatory design approach to create a set of design solutions for a motivating instant visual feedback for exercising with the haptic devices. The current project status and next steps are described.

Evaluation of six night vision enhancement systems: qualitative and quantitative support for intelligent image processing.

OBJECTIVE: An evaluation study was conducted to answer the question of which system properties of night vision enhancement systems (NVESs) provide a benefit for drivers without increasing their workload. BACKGROUND: Different infrared sensor, image processing, and display technologies can be integrated into an NVES to support nighttime driving. Because each of these components has its specific strengths and weaknesses, careful testing is required to determine their best combination. METHOD: Six prototypical systems were assessed in two steps. First, a heuristic evaluation with experts from ergonomics, perception, and traffic psychology was conducted. It produced a broad overview of possible effects of system properties on driving. Based on these results, an experimental field study with 15 experienced drivers was performed. Criteria used to evaluate the development potential of the six prototypes were the usability dimensions of effectiveness, efficiency, and user satisfaction (International Organization for Standardization, 1998). RESULTS: Results showed that the intelligibility of information, the easiness with which obstacles could be located in the environment, and the position of the display presenting the output of the system were of crucial importance for the usability of the NVES and its acceptance. CONCLUSION: All relevant requirements are met best by NVESs that are positioned at an unobtrusive location and are equipped with functions for the automatic identification of objects and for event-based warnings. APPLICATION: These design recommendations and the presented approach to evaluate the systems can be directly incorporated into the development process of future NVESs.