Purpose: Autistic adults experience high rates of traumatic events and PTSD. However, little work has evaluated motor vehicle accident (MVA) related trauma symptoms. The goal of this brief report was to provide pilot data characterizing MVA-related peritraumatic reactions, trauma symptoms, and rates of PTSD diagnosis and mental health service use…

The research aimed to describe the development of solar electric cars as a prop in energy conversion learning using the analyze, design, develop, implement, and evaluate (ADDIE) model and to ascertain the effectiveness of an electric car as a prop in energy conversion learning. Utilization of prop in the learning process is one way to support the…

Accuracy of memory is critical in legal and clinical contexts. These contexts are often linked with high levels of emotional distress and social sources that can provide potentially distorting information about stressful events. This study investigated how distress was associated with susceptibility to misinformation about a trauma analogue event.…

Purpose: This study aims to assess suppliers' learning from knowledge transfers with a global truck manufacturer, considering both source and supplier capacity, and the cultural proximity between the parties. Design/methodology/approach: A case study was conducted between two factories, one in Brazil and one in Germany. This study adopted a…

Recognizing that the agriculture industry continues to have the highest worker fatality rate, a multi-year teacher professional development was conducted to improve teachers' tractor and machinery safety knowledge. The purpose of this study was to analyze participant knowledge throughout the professional development to better understand the role…

This study explores the intersection of Theory of Mind (ToM) abilities and driving performance among novice drivers, with a focus on autistic individuals. The purpose is to investigate how ToM deficits may impact driving behaviors and decision-making, ultimately informing the development of tailored interventions and training programs for autistic…

This article addresses the problem of traffic congestion through a learning perspective, highlighting the capabilities of information, and communication technologies to transform society. Recent physical and mathematical analysis of congestion reveals that training drivers to keep a safe distance systematically contributes to the emergence and…

The introduction of autonomous vehicles (AVs) could prevent many accidents attributable to human driver error. However, even entirely driverless vehicles will sometimes require remote human intervention. Current taxonomies of automated driving do not acknowledge the possibility of remote control of AVs or the challenges that are unique to such a…

In this paper, we discuss challenges associated with implementing a policy for Ancillary Care (AC) for related and unrelated (serious) adverse events during an Ebola vaccine trial conducted in a remote area of the Democratic Republic of the Congo. Conducting clinical trials in resource-constrained settings can raise context-related challenges that…

Since 2020, the ETF has conducted multiple studies ('Future of Skills' studies) to examine how various drivers of change -- both technological and non-technological -- are affecting occupations and related skill needs in selected sectors and countries, and how education and training systems are adapting to these evolving needs. This has led to…

The reliability of cognitive demand measures in controlled laboratory settings is well-documented; however, limited research has directly established their stability under real-life and high-stakes conditions, such as operating automated technology on actual highways. Partially automated vehicles have advanced to become an everyday mode of…

Drivers must respond promptly to a wide range of possible road hazards, from trucks veering into their lane to pedestrians stepping onto the road. While drivers' vision is tested at the point of licensure, visual function can degrade, and drivers may not notice how these changes impact their ability to notice and respond to events in the world in…

How do the limits of high-level visual processing affect human performance in naturalistic, dynamic settings of (multimodal) interaction where observers can draw on experience to strategically adapt attention to familiar forms of complexity? In this backdrop, we investigate change detection in a driving context to study attentional allocation…

We provide evidence that graduated driver licensing (GDL) laws, originally intended to improve public safety, impact human capital accumulation. Many teens use automobiles to access both school and employment. Because school and work decisions are interrelated, the effects of automobile-specific mobility restrictions are ambiguous. Using a novel…

The slowdown in economic development caused by traffic accidents in Spain, together with the disparity in the risk of death or injury due to traffic accidents in its provinces, makes it necessary to evaluate their road safety performance. Therefore, the objectives of the present research are, on the one hand, to find out the level of road safety…