Psikoloji Bölümü
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Browsing Psikoloji Bölümü by browse.metadata.publisher "Elsevier Sci Ltd"
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Article Citation - WoS: 14Citation - Scopus: 16The Differential Associations of Functional and Dysfunctional Impulsivity With Driving Style: a Simulator Study(Elsevier Sci Ltd, 2019) Ozturk, Ibrahim; Ozkan, Ttirker; Bicaksiz, PinarThe present study investigated the impulsivity and driving style link by measuring driver behaviors on the driving simulator. Previous studies examining this relationship mostly used self-report instruments to measure both impulsivity and driving related outcomes, therefore this study aims to test this association by using a relatively more objective measurement tool than self-report. Moreover, the associations of functional impulsivity dimension with driving style has been investigated, in addition to the dysfunctional impulsivity dimension, which has been predominantly studied in the literature. Finally, both general and driving context specific functional and dysfunctional impulsivity dimensions were included in the analyses of the current study. Eighty (40 women) young drivers (19-25) participated in the present simulator study, and functional and dysfunctional impulsivity dimensions yielded different patterns of associations with driver behavior measures on the simulator. For instance, functional impulsivity yielded significant associations with standard deviation of lateral lane position, while dysfunctional impulsivity was significantly associated with mean velocity. Eye-movements of the participants while driving on the simulator were also recorded and examined as an explorative effort. The findings are discussed with regard to previous research. (C) 2019 Elsevier Ltd. All rights reserved.Article Citation - WoS: 10Citation - Scopus: 12Impact of Information Bandwidth of In-Vehicle Technologies on Drivers' Attention Maintenance Performance: a Driving Simulator Study(Elsevier Sci Ltd, 2018) Bicaksiz, Pinar; Unverricht, James; Samuel, Siby; Yamani, YusukePrevious research indicates that inexperienced drivers' ability to maintain their attention on the forward roadway during driving is poorer than experienced drivers, leading to more frequent, excessively long, off-road glances that elevate the risk of crashes. However, whether their poorer attention maintenance ability depends on complexities of in vehicle technologies has been underexplored. This study directly manipulated information bandwidth (easy or complex) of an in-vehicle monitor and asked twenty-four drivers aged 18-21 to perform a visual number judgment task with either 5 digits (easy) or 11 digits (complex), during simulated driving. Participants had to verbally respond within 15 s whether each string of presented digits contained more odd or even digits. Eye movements were recorded using an eye tracker. Results show that the drivers produced a greater number of off-road glances and longer summed excess glance durations under a 1.5-s threshold when the in-vehicle task imposed greater information processing demand. In practice, designers of in-vehicle technologies should consider information-processing demands of in-vehicle tasks required by the technologies to minimize the frequency of excessively long off-road glances during driving. (C) 2018 Elsevier Ltd. All rights reserved.Article Citation - WoS: 9Citation - Scopus: 12Implicit Evaluations About Driving Skills Predicting Driving Performance(Elsevier Sci Ltd, 2018) Harma, Mehmet; Dogruyol, Burak; Lajunen, Timo; Ozkan, Turker; Bicaksiz, PinarSelf-reported measures of driving skills have the potential shortcomings of the general self report methodology such as social responding and self-enhancement biases. In the present study, the Implicit Association Test (IAT) procedure was adapted to measure the implicit evaluations of driving skills. The performance of IAT and an explicit, self-report measure of driving skills were compared in predicting driver behaviors and performance. Ninetyone Turkish male drivers participated in the study. The results showed that the implicit test and the self-reported driving skills scale showed different patterns of relationships with the outcome measures in the regression analyses. In addition, the implicit measure of driving skills moderated the relationship between self-reported driving skills and some of the outcome measures used in the current study. These results support the need to use the implicit measures in addition to self-report measures to better understand drivers evaluations of their driving skills, which has the potential to influence their risky driving. (C) 2018 Elsevier Ltd. All rights reserved.Article Citation - WoS: 12Citation - Scopus: 14Psychometric Adaption of the Impulsive Driver Behavior Scale in a Chinese Sample(Elsevier Sci Ltd, 2020) Qu, Weina; Zhou, Mu; Ozkan, Turker; Bicaksiz, Pinar; Zhang, Kan; Ge, YanImpulsivity plays an important role in aberrant driving behavior and crash involvement. The purpose of this study was to evaluate the reliability and validity of the Impulsive Driver Behavior Scale (IDBS, Bicaksiz & Ozkan, 2016a) with a Chinese sample. Two hundred and ninety-nine drivers completed the Chinese version of the Impulsive Driver Behavior Scale, the Driver Behavior Questionnaire, the Big Five Inventory and some social-demographic and traffic violation items. A confirmatory factor analysis indicated that a four-factor solution with 20 items yielded a better fit to the data than other solutions. The reduced IDBS showed good reliability and a stable structure. Drivers' functional impulsivity was positively correlated with positive driver behavior and some ordinary violations. Meanwhile, the other three dimensions of dysfunctional impulsivity showed negative correlations with positive driver behavior and positive associations with aberrant driving behavior and penalty points and fines. Impulsive driver behavior is also associated with agreeableness and conscientiousness. These results provide evidence supporting the IDBS as a reliable and valuable instrument for measuring driving impulsivity in the Chinese traffic environment. (C) 2019 Elsevier Ltd. All rights reserved.
