This research tested hypotheses from state-trait anger theory applied to anger while driving. High and low anger drivers drove equally often and as many miles, but high anger drivers reported more frequent and intense anger and more aggression and risky behavior in daily driving, greater anger in frequently occurring situations, more frequent close calls and moving violations, and greater use of hostile/aggressive and less adaptive/constructive ways of expressing anger. In low impedance simulations, groups did not differ on state anger or aggression; however, high anger drivers reported greater state anger and verbal and physical aggression in high impedance simulations. High anger drivers drove at higher speeds in low impedance simulations and had shorter times and distances to collision and were twice as likely to crash in high impedance simulations. Additionally, high anger drivers were more generally angry. Hypotheses were generally supported, and few gender differences were noted for anger and aggression.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/s0005-7967(02)00046-3 | DOI Listing |
Front Artif Intell
November 2024
Vicerrectorado de Investigación, Catholic University of Santa María, Arequipa, Peru.
Driving performance can be significantly impacted when a person experiences intense emotions behind the wheel. Research shows that emotions such as anger, sadness, agitation, and joy can increase the risk of traffic accidents. This study introduces a methodology to recognize four specific emotions using an intelligent model that processes and analyzes signals from motor activity and driver behavior, which are generated by interactions with basic driving elements, along with facial geometry images captured during emotion induction.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Department of Mechanical and Industrial Engineering, University of Minnesota Duluth, Duluth, MN 55812, USA.
Driving is integral to many people's daily existence, but aggressive driving behavior increases the risk of road traffic collisions. Young drivers are more prone to aggressive driving and danger perception impairments. A driver's physiological state (e.
View Article and Find Full Text PDFErgonomics
October 2024
National Key Laboratory of Human Factors Engineering, Department of Industrial Engineering, Tsinghua University, Beijing, China.
Driving anger is a serious global issue that poses risks to road safety, thus necessitating the development of effective detection and intervention methods. This study investigated the feasibility of using smartphones to capture facial expressions to detect event-related driving anger. Sixty drivers completed the driving tasks in scenarios with and without multi-stage road events and were induced to angry and neutral states, respectively.
View Article and Find Full Text PDFInt J Occup Saf Ergon
October 2024
School of Engineering, Cochin University of Science and Technology, India.
Objectives: Aberrant driving behaviours among bus drivers cause serious concerns to safety on the road. The present study aimed to measure the effects of driver characteristics on aberrant and positive driving behaviours among bus drivers and to group drivers accordingly. The study was carried out among bus drivers of the government-owned road transport corporation in Kerala, India.
View Article and Find Full Text PDFJCPP Adv
September 2024
Amsterdam Public Health Mental Health Amsterdam The Netherlands.
Background: The COVID-19 pandemic negatively affected child and adolescent mental health and at the end of the pandemic (April 2022) child mental health had not returned to pre-pandemic levels. We investigated whether this observed increase in mental health problems has continued, halted, or reversed after the end of the pandemic in children from the general population and in children in psychiatric care.
Methods: We collected parent-reported and child-reported data at two additional post-pandemic time points (November/December 2022 and March/April 2023) in children (8-18 years) from two general population samples ( = 818-1056 per measurement) and one clinical sample receiving psychiatric care ( = 320-370) and compared these with data from before the pandemic.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!