Links between observed and self-reported driving anger, observed and self-reported aggressive driving, and personality traits
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Links between observed and self-reported driving anger, observed and self-reported aggressive driving, and personality traits. / Ābele, Līva; Haustein, Sonja; Møller, Mette; Zettler, Ingo.
I: Accident Analysis and Prevention, Bind 140, 105516, 06.2020.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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TY - JOUR
T1 - Links between observed and self-reported driving anger, observed and self-reported aggressive driving, and personality traits
AU - Ābele, Līva
AU - Haustein, Sonja
AU - Møller, Mette
AU - Zettler, Ingo
PY - 2020/6
Y1 - 2020/6
N2 - Driving anger increases risk-taking in traffic and road traffic accident involvement. Herein, we examine the links between self-reported and observed driving anger, self-reported and observed aggressive driving, and personality traits. Specifically, sixty drivers drove in an anger-inducing simulated driving scenario. A video camera recorded their verbal and gestural expression during the simulator drive. Two weeks before the simulator drive, we assessed participants’ basic personality traits, driving anger expression, and aberrant driving behaviour via an online survey. State anger was measured immediately before and after the simulator drive. From recorded simulator and video data, we obtained four measures: the number of accidents (simulator), an aggressive driving score (simulator), verbal expression of driving anger (video), and related gestures and headshakes (video). Verbal and gestural expression while driving were related to an increase in state anger in the simulator drive and different self-reported measures: While observed verbal expression was positively related to lapses and negatively related to constructive expression, gestural expression was positively related to both self-reported violations and self-reported aggressive expression. The traits Emotionality and Honesty-Humility were related to an increase in state anger and to verbal expression in the simulator drive, yet, age and gender modified the relation to personality traits. Results can support the development of personalised anger management interventions and anger mitigating in-vehicle devices.
AB - Driving anger increases risk-taking in traffic and road traffic accident involvement. Herein, we examine the links between self-reported and observed driving anger, self-reported and observed aggressive driving, and personality traits. Specifically, sixty drivers drove in an anger-inducing simulated driving scenario. A video camera recorded their verbal and gestural expression during the simulator drive. Two weeks before the simulator drive, we assessed participants’ basic personality traits, driving anger expression, and aberrant driving behaviour via an online survey. State anger was measured immediately before and after the simulator drive. From recorded simulator and video data, we obtained four measures: the number of accidents (simulator), an aggressive driving score (simulator), verbal expression of driving anger (video), and related gestures and headshakes (video). Verbal and gestural expression while driving were related to an increase in state anger in the simulator drive and different self-reported measures: While observed verbal expression was positively related to lapses and negatively related to constructive expression, gestural expression was positively related to both self-reported violations and self-reported aggressive expression. The traits Emotionality and Honesty-Humility were related to an increase in state anger and to verbal expression in the simulator drive, yet, age and gender modified the relation to personality traits. Results can support the development of personalised anger management interventions and anger mitigating in-vehicle devices.
KW - DAX
KW - DBQ
KW - Driving anger
KW - Driving simulator
KW - HEXACO
U2 - 10.1016/j.aap.2020.105516
DO - 10.1016/j.aap.2020.105516
M3 - Journal article
C2 - 32244089
AN - SCOPUS:85082451155
VL - 140
JO - Accident Analysis & Prevention
JF - Accident Analysis & Prevention
SN - 0001-4575
M1 - 105516
ER -
ID: 239129050