Developmental trajectories of driving attention in adolescents: Preliminary findings from REACT.

Developmental trajectories of driving attention in adolescents: Preliminary findings from REACT.
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青少年注意力的发展轨迹:REACT 的初步发现。

DOI:
10.1080/15389588.2021.1982614
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发表时间:
2021
影响因子:
2
通讯作者:
Visscher,Kristina
Visscher,Kristina
中科院分区:
医学4区
文献类型:
--
作者:
Stavrinos,Despina;McManus,Benjamin;Mrug,Sylvie;Underhill,Andrea;Albright,MGrace;Svancara,Austin;Pawar,Piyush;Anthony,Thomas;Visscher,Kristina

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目的描述驾驶注意力的轨迹与年龄和驾驶经验的关系。假设:16岁的驾驶注意力变化率大于18岁的驾驶注意力变化率和获得驾驶经验的驾驶注意力变化率(与非驾驶员相比)。年龄和驾驶经验将相互作用,与驾驶经验的影响是更强的16岁相比,18-year-olds.MethodsIn此纵向研究,190名青少年被招募到4组:(1)16岁的青少年和(2)18岁的青少年招募在2周内获得正式的驾驶执照;(3)16岁和(4)18岁没有驾驶经验的人(没有许可证/执照,不打算在学习期间获得)。在18个月的7个时间点,参与者在一个集成了眼动跟踪的高保真驾驶模拟器中驾驶。参与者完成了三个实验驱动器与三个安全关键事件和不同的认知负荷条件。驾驶注意力通过垂直和水平眼球运动、扫视次数和扫视时间来衡量。基于SAS PROC MIXED的多水平模型(SAS 9.4)将估计驾驶注意力随时间的基线截距和斜率,基线年龄、驾驶经验以及它们的相互作用作为截距和斜率的预测因子。结论注意力不集中是导致车祸的主要因素。关键是要清楚地了解驾驶注意力在青少年时期的变化,这是驾驶员最危险的发展时期。研究结果将揭示驾驶如何通过实践影响注意力发展,为干预提供目标。
ObjectiveTo characterize the trajectory of driving attention as a function of age and driving experience.Hypotheses.The rate of change in driving attention will be greater for 16- compared to 18-year-olds and those acquiring driving experience (vs. non-drivers). Age and driving experience will interact, with the effect of driving experience being stronger among 16- compared to 18-year-olds.MethodsIn this longitudinal study, 190 adolescents were enrolled into 4 groups: (1) 16-year-olds and (2) 18-year-olds recruited within 2 weeks of obtaining a full driver’s license; (3) 16-year-olds and (4) 18-year-olds with no driving experience (no permit/license, no intention to obtain either over study period). At seven time points over 18 months, participants drove in a high-fidelity driving simulator integrated with eye tracking. Participants completed three experimental drives with three safety critical events and varying cognitive load conditions. Driving attention was measured byvertical and horizontal eye movements, number of glances, andglance length. A multilevel model using SAS PROC MIXED (SAS 9.4) will estimate the baseline intercept and slope of driving attention over time, with baseline age, driving experience, and their interaction serving as predictors of intercept and slope.ResultsPreliminary analyses suggest driving attention changes over time as a function of age, driving experience, and across cognitive load conditions.ConclusionsInattention is the primary contributor to motor vehicle crashes. It is critical to gain a clear understanding of how driving attention changes during adolescence, the riskiest developmental period for drivers. Results will reveal how driving impacts attention development through practice, providing a target for intervention.
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