Introducing a multivariate model for predicting driving performance: The role of driving anger and personal characteristics
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In: Journal of Safety Research, Vol. 47, 2013, p. 47-56.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Introducing a multivariate model for predicting driving performance
T2 - The role of driving anger and personal characteristics
AU - Roidl, Ernst
AU - Siebert, Felix
AU - Oehl, Michael
AU - Höger, Rainer
PY - 2013
Y1 - 2013
N2 - Introduction Maladaptive driving is an important source of self-inflicted accidents and this driving style could include high speeds, speeding violations, and poor lateral control of the vehicle. The literature suggests that certain groups of drivers, such as novice drivers, males, highly motivated drivers, and those who frequently experience anger in traffic, tend to exhibit more maladaptive driving patterns compared to other drivers. Remarkably, no coherent framework is currently available to describe the relationships and distinct influences of these factors. Method We conducted two studies with the aim of creating a multivariate model that combines the aforementioned factors, describes their relationships, and predicts driving performance more precisely. The studies employed different techniques to elicit emotion and different tracks designed to explore the driving behaviors of participants in potentially anger-provoking situations. Study 1 induced emotions with short film clips. Study 2 confronted the participants with potentially anger-inducing traffic situations during the simulated drive. Results In both studies, participants who experienced high levels of anger drove faster and exhibited greater longitudinal and lateral acceleration. Furthermore, multiple linear regressions and path-models revealed that highly motivated male drivers displayed the same behavior independent of their emotional state. The results indicate that anger and specific risk characteristics lead to maladaptive changes in important driving parameters and that drivers with these specific risk factors are prone to experience more anger while driving, which further worsens their driving performance. Driver trainings and anger management courses will profit from these findings because they help to improve the validity of assessments of anger related driving behavior.
AB - Introduction Maladaptive driving is an important source of self-inflicted accidents and this driving style could include high speeds, speeding violations, and poor lateral control of the vehicle. The literature suggests that certain groups of drivers, such as novice drivers, males, highly motivated drivers, and those who frequently experience anger in traffic, tend to exhibit more maladaptive driving patterns compared to other drivers. Remarkably, no coherent framework is currently available to describe the relationships and distinct influences of these factors. Method We conducted two studies with the aim of creating a multivariate model that combines the aforementioned factors, describes their relationships, and predicts driving performance more precisely. The studies employed different techniques to elicit emotion and different tracks designed to explore the driving behaviors of participants in potentially anger-provoking situations. Study 1 induced emotions with short film clips. Study 2 confronted the participants with potentially anger-inducing traffic situations during the simulated drive. Results In both studies, participants who experienced high levels of anger drove faster and exhibited greater longitudinal and lateral acceleration. Furthermore, multiple linear regressions and path-models revealed that highly motivated male drivers displayed the same behavior independent of their emotional state. The results indicate that anger and specific risk characteristics lead to maladaptive changes in important driving parameters and that drivers with these specific risk factors are prone to experience more anger while driving, which further worsens their driving performance. Driver trainings and anger management courses will profit from these findings because they help to improve the validity of assessments of anger related driving behavior.
KW - Business psychology
KW - Traffic Psychology
KW - Human Factors
KW - Driving anger
KW - Driving motivation
KW - Driving performance
KW - Emotions
KW - Risky driving
KW - Psychology
UR - http://www.scopus.com/inward/record.url?scp=84884618556&partnerID=8YFLogxK
U2 - 10.14279/depositonce-8787
DO - 10.14279/depositonce-8787
M3 - Journal articles
C2 - 24237870
VL - 47
SP - 47
EP - 56
JO - Journal of Safety Research
JF - Journal of Safety Research
SN - 0022-4375
ER -