2017
DOI: 10.3389/fpsyg.2017.02126
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Sensation Seeking, Non-contextual Decision Making, and Driving Abilities As Measured through a Moped Simulator

Abstract: The general aim of the present study was to explore the relations between driving style (assessed through a moped riding simulator) and psychological variables such as sensation seeking and decision making. Because the influences of sensation seeking and decision making on driving styles have been studied separately in the literature, we have tried to investigate their mutual relations so as to include them in a more integrated framework. Participants rode the Honda Riding Trainer (HRT) simulator, filled in th… Show more

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Cited by 20 publications
(27 citation statements)
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“…Jonah (1997) suggests this may be because younger drivers are either more likely to accept risks while driving, to experience the thrill, or they may be misperceiving the risk because of their inexperience. For older drivers, on the other hand, experience and non-contextual decision-making skills (Gianfranchi et al, 2017) may suppress the tendency to act on sensation seeking in the interests of safety. In terms of gender, while males had higher SS scores (M=26.2 vs M=24.8 for females), there was no difference in the relationship between SS and speed choice, with both males and females showing significant positive correlations (r = .69, p < .005, and r = .62, p < .01), respectively.…”
Section: Resultsmentioning
confidence: 99%
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“…Jonah (1997) suggests this may be because younger drivers are either more likely to accept risks while driving, to experience the thrill, or they may be misperceiving the risk because of their inexperience. For older drivers, on the other hand, experience and non-contextual decision-making skills (Gianfranchi et al, 2017) may suppress the tendency to act on sensation seeking in the interests of safety. In terms of gender, while males had higher SS scores (M=26.2 vs M=24.8 for females), there was no difference in the relationship between SS and speed choice, with both males and females showing significant positive correlations (r = .69, p < .005, and r = .62, p < .01), respectively.…”
Section: Resultsmentioning
confidence: 99%
“…One trait which is shown to be well-correlated with risky driving behaviors, such as speeding, and risk of collisions (see Jonah, 1997, for a review), is sensation-seeking (SS, see Arnett, 1994), For example, in a simulator study examining behavioral adaptation to adaptive cruise control (ACC), drivers with high SS scores were more likely to engage in a demanding secondary task when their vehicle speed and headway was controlled by ACC (Rudin-Brown and Parker, 2004). Gianfranchi et al (2017) showed that both high SS, and bad decision-making (as measured by performance on the Iowa Gambling Task), contributed to poor or risky driving performance. However, most studies in this context have relied on self-reported questionnaires for recording violations in driving.…”
Section: Introductionmentioning
confidence: 99%
“…Driving simulators have been used to provide a behavioral correlate for the identification of driving profiles (Deery and Fildes, 1999; Marengo et al, 2012). An innovative approach was recently proposed by Gianfranchi et al (2017a,b), aimed at identifying riding profiles on the basis of participants’ behavior on a moped-riding simulator. Reversing the approach of previous works, Gianfranchi et al (2017a,b) monitored the performance of two samples of young drivers on five courses on the HRT simulator, measuring a wide number of variables ( e.g ., mean speed, mean pressure on the brakes, number of crashes and the overall performance evaluation) used to identify specific profiles.…”
Section: Introductionmentioning
confidence: 99%
“…An innovative approach was recently proposed by Gianfranchi et al (2017a,b), aimed at identifying riding profiles on the basis of participants’ behavior on a moped-riding simulator. Reversing the approach of previous works, Gianfranchi et al (2017a,b) monitored the performance of two samples of young drivers on five courses on the HRT simulator, measuring a wide number of variables ( e.g ., mean speed, mean pressure on the brakes, number of crashes and the overall performance evaluation) used to identify specific profiles. In the first study (Gianfranchi et al, 2017a), two clusters were identified (Imprudent and Prudent riders), with an opposite riding profile.…”
Section: Introductionmentioning
confidence: 99%
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