Estimating Attentional State of a Driver: Interacting Effects of Task Demands and Cognitive Capacities

被引：0
|
作者：
Choe, Seonggyu [1 ]
Jeon, Hyun-Jun [1 ]
Kwon, Oh-Sang [1 ]
机构：
[1] UNIST, Dept Human Factors Engn, Ulsan, South Korea
来源：
2018 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC) | 2018年
关键词：
attentional state estimation; dual task driving behavior; eye movement; driver state estimation; cognitive capacity;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Drivers are often distracted by non-driving tasks such as texting and conversation, increasing the risk of traffic accidents. An accurate estimation of cognitive load and mental state of drivers is crucial to countermand the detrimental effects of distractions. Here we asked participants to perform a primary driving task and a secondary cognitive task in parallel to examine the effects of elevated cognitive load Individuals' cognitive capacities were measured in separate experiments. Task demands and individual cognitive capacities systematically affected driving performances and physiological responses with significant interactions between them We validated a practical use of these measures by an elaborated estimation of attentional states of drivers.
引用
收藏
页码：999 / 1004
页数：6
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