Literature DB >> 31862644

Differences in visual-spatial working memory and driving behavior between morning-type and evening-type drivers.

Yan Ge1, Biying Sheng1, Weina Qu2, Yuexing Xiong1, Xianghong Sun1, Kan Zhang1.   

Abstract

Circadian rhythms are changes in life activities over a cycle of approximately 24 hours. Studies on chronotypes have found that there are significant differences in physiology, personality, cognitive ability and driving behavior between morning-type and evening-type people. The purpose of this study is to explore the relationship between visual-spatial working memory and driving behavior between morning-type and evening-type drivers in China. A total of 42 Chinese drivers were selected to participate in this study according to their score on the Morningness-Eveningness Questionnaire, including 22 morning-type drivers and 20 evening-type drivers. During the experiment, the participants completed one cognitive task (visual-spatial working memory), two simulated driving tasks (car-following task and pedestrian-crossing task), and the Dula Dangerous Driving Index (DDDI). The results showed that evening-type drivers self-reported more dangerous driving behaviors but had better lateral control on the simulated driving task than morning-type drivers. In addition, evening-type drivers had greater accuracy when performing the visual-spatial working memory task. Moreover, the accuracy on the visual-spatial working memory task positively predicted the percentage of time over the speed limit by 10 mph (POS10) and negatively correlated with the reaction time measure (time to meet pedestrians) in the pedestrian-crossing task. The relationships among chronotype, cognitive ability and driving behavior are also discussed. Understanding the underlying mechanisms could help explain why evening-type drivers perform dangerous driving behaviors more often.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  chronotype; dangerous driving behaviors; driving simulator; visual-spatial working memory

Mesh:

Year:  2019        PMID: 31862644     DOI: 10.1016/j.aap.2019.105402

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  Driver's Visual Attention Characteristics and Their Emotional Influencing Mechanism under Different Cognitive Tasks.

Authors:  Yaqi Liu; Xiaoyuan Wang; Longfei Chen; Shijie Liu; Junyan Han; Huili Shi; Fusheng Zhong
Journal:  Int J Environ Res Public Health       Date:  2022-04-21       Impact factor: 4.614

2.  A Proactive Recognition System for Detecting Commercial Vehicle Driver's Distracted Behavior.

Authors:  Xintong Yan; Jie He; Guanhe Wu; Changjian Zhang; Chenwei Wang
Journal:  Sensors (Basel)       Date:  2022-03-19       Impact factor: 3.576

  2 in total

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