Central Michigan University, Mount Pleasant, MI 48859, USA.
Appl Ergon. 2009 Sep;40(5):943-52. doi: 10.1016/j.apergo.2009.02.001. Epub 2009 Mar 6.
As the population of many industrialized countries ages, the number of older drivers on the roads increases. Statistics show that older drivers are at increased risk for involvement in fatal accidents. One explanation for this is the cognitive and motor declines associated with the aging process. As we age, performance on attention, memory and motor control tasks, three important components of driving, declines. In the present study we examined the relationship between performance on component cognitive tasks and the influence of training on these tasks on the simulated driving performance of older adults. More specifically, we assessed performance on and trained older adults on single and dual tasks of attention, working memory and manual control. Regression analyses demonstrated that performance on the single and dual cognitive tasks and improvements in these computer-based tasks with training were predictive of improvements in driving simulator performance across the course of the study. These data suggest that relatively simple single and dual computer-based tasks and modest amounts of training on these tasks can improve driving performance in older adults, thereby extending functional independence.
随着许多工业化国家人口老龄化,道路上的老年司机数量增加。统计数据显示,老年司机发生致命事故的风险增加。造成这种情况的一个原因是与衰老过程相关的认知和运动能力下降。随着年龄的增长,我们在注意力、记忆和运动控制任务(驾驶的三个重要组成部分)上的表现会下降。在本研究中,我们研究了在组成认知任务上的表现与对这些任务的训练对老年人模拟驾驶表现的影响之间的关系。更具体地说,我们评估了老年人在单一和双重注意力、工作记忆和手动控制任务上的表现,并对他们进行了这些基于计算机的任务的训练。回归分析表明,在单一和双重认知任务上的表现,以及在这些基于计算机的任务上的训练改进,是预测研究过程中驾驶模拟器表现改进的指标。这些数据表明,相对简单的单一和双重基于计算机的任务以及这些任务的适度训练可以提高老年人的驾驶表现,从而延长他们的功能独立性。