El uso de videojuegos violentos se asocia por sentido común con el comportamiento agresivo, especialmente de los jóvenes. ¿Están asociadas estas dos variables? Se entiende como uso de videojuegos el invertir tiempo en sistemas... more
El uso de videojuegos violentos se asocia por sentido común con el comportamiento agresivo, especialmente de los jóvenes. ¿Están asociadas estas dos variables? Se entiende como uso de videojuegos el invertir tiempo en sistemas computarizados de entretenimiento, mientras que la agresividad vial se entiende como todo aquel comportamiento que tiene como fin la reducción del bienestar de uno o más individuos del entorno a través del uso de un vehículo automotor. Este estudio tuvo como fin establecer el vínculo entre estas dos variables, a través de un diseño cuantitativo, transversal, ex post facto, e instrumentos utilizados en otros estudios. Se abordó a una colección de 217 participantes que cumplieran con los criterios de inclusión, de los cuales la mayoría fueron hombres jóvenes con estudios universitarios. Se encontró que no existe una relación probabilística entre el uso de videojuegos violentos y el comportamiento agresivo en la movilidad. Palabras clave: videojuegos violentos, comportamiento violento, conducción agresiva, comportamiento violento, tecnologías de la información y comunicación.
The use of violent videogames is commonly associated to aggressive behavior, especially amongst youngsters. Are these variables related? The use of videogames is understood as playing on computerized systems for purpose of entertainment, and traffic aggression is defined as any behavior that has the goal of reducing the well-being of one or more individuals in the context of driving a motor vehicle. This study had the purpose to establish the connection between these two variables, by means of a quantitative, cross-sectional and ex-post facto methodology and previously designed questionnaires. A collection of 217 participants that met this study's requirements was conformed, most of which were young men with some university studies. A statistical relationship between use of violent videogames and aggressive behavior while driving could not be found.
Research has focused on music's negative effects on a driver's attention, whereas little research has addressed the possibility of using music to reduce emotional effects on driving. In the present study, we investigate how music can... more
Research has focused on music's negative effects on a driver's attention, whereas little research has addressed the possibility of using music to reduce emotional effects on driving. In the present study, we investigate how music can mitigate the degenerated driving performance associated with angry driving. To this end, fifty-three drivers participated in a simulated driving study either with or without induced anger. Three groups of participants with induced anger drove in a simulator while listening to happy or sad instrumental pieces, or without music. In the control group, anger was not induced and they did not listen to music during driving. The results show that participants who listened to either happy or sad music had significantly fewer driving errors than those who did not listen to music. However, no significant differences were found between happy and sad music conditions. Results are discussed with an affect regulation model and future research.
Anger has been shown to be a motivating factor in aggression and it is widely accepted that driving anger may lead to aggressive driving. However, the link between anger and aggressive driving is likely to be mediated by drivers’... more
Anger has been shown to be a motivating factor in aggression and it is widely accepted that driving anger may lead to aggressive driving. However, the link between anger and aggressive driving is likely to be mediated by drivers’ pre-existing cognitive biases and the subsequent situational evaluations made. This study investigated the extent to which optimism bias, illusion of control beliefs and driver anger predict self-reported hostile driving behaviours. A total of 220 licensed drivers (106 men; 114 women) completed a self-report questionnaire measuring trait driving anger, optimism bias, illusion of control and driving behaviour. Structural Equation Modelling showed that trait driving anger and illusion of control beliefs account for 37% of the variance in hostile driving behaviour scores. Optimism biases were unrelated to hostile driving behaviours. Thus, driving anger propensities and feelings of control over the situation, but not a general tendency to underestimate the likelihood of adverse outcomes, predict aggressive driving.
Background: The behavior of dangerous driving is considered the main cause of increase in road accidents. The present study aimed at (1) studying the dangerous driving indexes among university students, (2) developing the Dula index to... more
Background: The behavior of dangerous driving is considered the main cause of increase in road accidents. The present study aimed at (1) studying the dangerous driving indexes among university students, (2) developing the Dula index to measure the behavior of dangerous driving of Saudi university students, (3) identifying the significant differences of dangerous driving behaviors according to the educational level and age, and (4) identifying the relationship between the behavior of dangerous driving and the impulsive behavior of drivers and the driving angry expressions.
Methods: The tools of the study, which were selected in a systematic stratified way, were applied to 640 Saudi university students to check the validity of the Dula index. The tools of the study included: the dangerous driving Dula inventory (DDDI), driver behavior questionnaire, barratt impulsiveness scale (BIS) and driving anger expression inventory (DAEI). Results: The results of this study showed that this tool, when associated with the barratt impulsiveness scale (BIS) and the driving anger expression inventory (DAEI), can have adequate psychometric properties through internal consistency, persistence and honesty. The factor analysis results concluded that the tool has three factors; namely, aggressive driving, negative emotions and dangerous driving. In addition, the study findings pointed out that the average scores of students dangerous driving were at a low level. There are no statistical differences in the behavior of dangerous driving according to age and educational level.
Recommendations: The study recommends the traffic departments in the Kingdom of Saudi Arabia to adopt this measurement to evaluate the behaviors of dangerous driving among drivers who are intending to obtain their driving license, especially teenagers.
Road rage (intentional high risk driving behavior) is a factor that increases the likelihood that a driver will be involved in a vehicle crash. The focus of this study was to determine potential antecedents of road rage and methods to... more
Road rage (intentional high risk driving behavior) is a factor that increases the likelihood that a driver will be involved in a vehicle crash. The focus of this study was to determine potential antecedents of road rage and methods to prevent road rage. A sample of 372 participants were surveyed. Based upon responses, participant profiles were established to analyze the data. Analyses using Chi-square and Fisher's Exact test revealed a significant negative relationship between age and the tendency toward aggressive driving, particularly tailgating. In addition, content analysis revealed a number of potential antecedents of and solutions to road rage. Human factors implications are discussed.
