While it is known that drivers as a group rate their skills as better than the average, the mechanism underlying this illusion is unclear. It is possible, for example, that it is due either to a "positive-self" or "negative-other" bias. A test of these alternative hypotheses revealed that judgments are consistent with a "positive-self" bias. An attempt was made to determine whether the illusion was present in all areas of driving skill or whether there were specific components where the illusion was absent. For men, the bias was present in all the driving components examined. For women, there were several areas where they rated themselves less positively than the men, and four areas where they showed no evidence of any bias. When the effects of driving experience were statistically controlled for, however, these sex differences were found to be substantially reduced.
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http://dx.doi.org/10.1016/0001-4575(91)90034-3 | DOI Listing |
Traffic Inj Prev
January 2025
Soen Driving School, Hokkaido, Japan.
Objectives: This study aimed to validate the hazard perception task developed for Japanese drivers with brain damage.
Methods: A total of 36 professional driving instructors, 67 older adult drivers, 39 young drivers, and 72 patients with brain damage participated in the study. A video-based hazard perception task measured the hazard perception skills of each group.
Health Justice
January 2025
George Mason University, 4400 University Drive, VA, Fairfax, 22030, USA.
Background: Substance use disorder affects over half of incarcerated individuals, with 23% experiencing opioid use disorder specifically. Addressing opioid use disorder in jails is crucial due to its association with increased recidivism and overdose. This study investigates the experiences of peer recovery specialists working with individuals with opioid use disorder and criminal justice involvement, focusing on barriers and facilitators to client connections.
View Article and Find Full Text PDFChildren (Basel)
December 2024
Department of Pediatric and Adolescent Surgery, Medical University of Graz, 8036 Graz, Austria.
: Advancements in artificial intelligence (AI) and machine learning (ML) are set to revolutionize healthcare, particularly in fields like endoscopic surgery that heavily rely on digital imaging. However, to effectively integrate these technologies and drive future innovations, pediatric surgeons need specialized AI/ML skills. This survey evaluated the current level of readiness and educational needs regarding AI/ML among members of the European Society of Pediatric Endoscopic Surgeons (ESPES).
View Article and Find Full Text PDFBMC Pediatr
January 2025
Maternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK.
Background: The Every Newborn Action Plan (ENAP) indicators are essential in monitoring neonatal healthcare coverage and quality. The District Health Information System (DHIS2), an open-source platform in over 80 countries, supports health data collection and analysis, enabling progress tracking at national and subnational levels. This study evaluates the availability and quality of maternal and newborn health indicators, explicitly focusing on ENAP indicators within Tanzania's DHIS2.
View Article and Find Full Text PDFR Soc Open Sci
January 2025
Department of General Psychology and Cognitive Neuroscience, Friedrich Schiller University, Jena, Germany.
Individuals can strongly vary in their ability to process face identity. Understanding the mechanisms driving these differences is important for theoretical development, and in clinical and applied contexts. Here we investigate the role of face-space properties in relation to individual face identity processing skills.
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