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Stress and Driving Performance: Implications for Design and Training
Published in Peter A. Hancock, Paula A. Desmond, Stress, Workload, and Fatigue, 2000
Gerald Matthews, Paula A. Desmond
drivers appraise as necessary to maintain safety is less than the maximum possible effort. The danger of automated systems may be that because workload, or some aspects of workload, are reduced, the driver believes that it is safe to reduce the effort applied to the task, with potentially detrimental consequences. In fact, there is much evidence to indicate that automated systems do not necessarily result in a reduction in mental workload (see Parasuraman, Mouloua, Molloy, & Hilburn, 1996, for a review), but automation may still change the driver's beliefs about the need to invest effort in the driving task. Again, maladaptive effort regulation may also be influenced by driver stress factors (Matthews & Desmond, 1995). Both distress and fatigue seem to be associated with a reduction in task-directed effort when the driving task is relatively undemanding (see chap. 1.1, this volume). A related problem associated with in-vehicle systems and automation is one of risk homeostasis or risk compensation. If the vehicle is fitted with a collision- avoidance system, the driver may feel prepared to engage in various dangerous behaviors, such as reducing the effort directed toward maintaining safety or actively engaging in more risky or reckless driving behaviors.
The Determinants of Consumer Acceptance of Autonomous Vehicles: A Case Study in Riyadh, Saudi Arabia
Published in International Journal of Human–Computer Interaction, 2022
Ibrahim Alsghan, Uneb Gazder, Khaled Assi, Gazi Hassan Hakem, Mohammad Abduljalil Sulail, Osamah Abdulrahman Alsuhaibani
To gauge whether or not an AV drives more safely than humans, the technological aspect needs to be considered. Technological sectors are now more advanced than ever, and LIDAR technology is the best example. LIDAR is a three-dimensional sensor with unique rays that can sense the objects around the vehicle (Conner, 2011). This type of technology allows the car to access more information than a human does. In addition, vehicles are nowadays equipped with a collision-avoidance system that enables the vehicle to recognize any object (car) that is too close to the vehicle (Jardim et al., 2013). The same concept is applied to AVs in a more futuristic, technologized way, and acceptance of AVs depends heavily on the consumer’s trust in the safety features of an AV.