The Relationship Between Older Drivers’ Cognitive Ability and Takeover Performance in Conditionally Automated Driving

模式 认知 模态(人机交互) 任务(项目管理) 刺激形态 执行职能 相关性 计算机科学 认知心理学 功能(生物学) 过程(计算) 正相关 心理学 人机交互 工程类 感觉系统 医学 神经科学 数学 操作系统 内科学 社会学 生物 进化生物学 系统工程 社会科学 几何学
作者
Qijia Peng,Yanbin Wu,Tomomasa Sato,Sunao Iwaki
出处
期刊:Lecture Notes in Computer Science 卷期号:: 102-115
标识
DOI:10.1007/978-3-031-34866-2_8
摘要

In takeover process of conditionally automated driving, cognitive abilities, especially the executive function abilities, are found to play a significant role in driver’s performance. During the automated driving period, engaging in non-driving related tasks (NDRTs) also significantly affects takeover performance; moreover, different attributes of NDRT such as different task modalities were found to have different influences on takeover performance. This study aims to explore the relationship between the influence of different modalities of NDRT and the corresponding executive function abilities in older drivers during conditionally automated driving. We designed computerized cognitive experiments to evaluate older drivers’ executive function abilities in different modalities, a simulated driving experiment to evaluate older drivers’ takeover performance, and then investigated their relationship by a correlation study. Twenty-four participants were recruited in this experiment. The results showed that instant lateral stability of takeover performance tends to be better when engaged in auditory n-back task than visual SuRT, and longer continuous lateral control was most unstable without any NDRT. The results from correlation analysis indicated that older drivers with worse executive function abilities in either auditory or visual modality would perform less stable takeover behavior when engaged in NDRTs requiring the same cognitive modality. Overall, these findings verified the correlation between takeover performance and executive function abilities, and provide understanding of the correlation between modalities of NDRTs and corresponding cognitive abilities of older drivers.
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