Introducing a multivariate model for predicting driving performance: The role of driving anger and personal characteristics

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Introducing a multivariate model for predicting driving performance: The role of driving anger and personal characteristics. / Roidl, Ernst; Siebert, Felix; Oehl, Michael et al.
In: Journal of Safety Research, Vol. 47, 2013, p. 47-56.

Research output: Journal contributionsJournal articlesResearchpeer-review

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@article{f1d66a6be2a143dda968c0bdfcd55351,
title = "Introducing a multivariate model for predicting driving performance: The role of driving anger and personal characteristics",
abstract = "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.",
keywords = "Business psychology, Traffic Psychology, Human Factors, Driving anger, Driving motivation, Driving performance, Emotions, Risky driving, Psychology",
author = "Ernst Roidl and Felix Siebert and Michael Oehl and Rainer H{\"o}ger",
year = "2013",
doi = "10.14279/depositonce-8787",
language = "English",
volume = "47",
pages = "47--56",
journal = "Journal of Safety Research",
issn = "0022-4375",
publisher = "Elsevier Ltd",

}

RIS

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 -

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