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Effectiveness of Training Interventions on the Hazard Anticipation for Young Drivers Differing in Sensation Seeking Behavior
Author(s) -
Tingru Zhang,
Kirshna Valluru,
Tracy Zafian,
Yusuke Yamani,
Siby Samuel
Publication year - 2017
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/drivingassessment.1624
Subject(s) - sensation seeking , anticipation (artificial intelligence) , psychological intervention , psychology , sensation , poison control , injury prevention , aggression , human factors and ergonomics , crash , hazard , suicide prevention , applied psychology , developmental psychology , social psychology , computer science , medicine , cognitive psychology , medical emergency , personality , artificial intelligence , psychiatry , chemistry , organic chemistry , programming language
Drivers younger than 25 years are overrepresented in fatal crashes compared to experienced drivers between 30 and 55 years of age. This age-related difference in crash statistics partly arises from younger drivers’ poor hazard anticipation. Training programs (e.g. SAFE-T; Yamani et al. (2016)) have been shown effective at improving these drivers’ anticipation behavior. However, individual differences such as sensationseeking behavior, aggression, and driving violations exist in young drivers and may contribute to differences in their hazard anticipation. The current driving simulator study examined whether three individual differences known to characterize driving behavior can predict hazard anticipation performance for young drivers, and training effectiveness. K-mean clustering technique classified participants into two clusters based on their driving aggression, sensation seeking and driving violation scores. The results indicated that the low sensation-seeking drivers benefitted more from the training than their high sensation-seeking peers. These findings have design implications for the development of appropriate countermeasures for high sensation-seeking drivers.

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