Eye movement patterns when driving in real environment

眼球运动 固定(群体遗传学) 凝视 眼动 驾驶模拟器 视野 计算机科学 心理学 模拟 计算机视觉 人工智能 人口 医学 环境卫生 神经科学
作者
Hong Xu,Bo Du,Jian Sheng Yeung,Yiik Diew Wong
出处
期刊:Journal of Vision [Association for Research in Vision and Ophthalmology (ARVO)]
卷期号:17 (10): 888-888 被引量:1
标识
DOI:10.1167/17.10.888
摘要

Previous studies have investigated drivers' visual features when drivers entering and exiting tunnels. However, few studies have attempted to investigate drivers' visual attention in different real environment (e.g., open roads and underground tunnels). This study examined drivers' eye movement patterns when they were driving on open road and tunnel expressways in Singapore. Twenty-two drivers were recruited for the study, and the total driving distance was 25 km including 9 km tunnel section. Drivers' eye movement was recorded simultaneously using a head-mounted mobile eye tracker (Mobile Eye XG, ASL). We found that drivers experienced more fixations and blinks when driving on open roads than in tunnels during the same period of effective times (Wilcoxon Signed rank test, as the data doesn't follow normal distribution; same analysis in the following); and instantaneous velocity for saccades was significantly higher when driving on open roads. However, longer fixation durations were observed for drivers in tunnels. The findings suggest that attention distribution is more concentrated when driving in tunnels than open roads, and may reflect heavier cognitive load in tunnels. Interestingly, drivers experienced more stable fixation in horizontal direction (e.g., peak velocity) and less stable fixation in vertical direction in tunnels (e.g., dispersion). Furthermore, drivers in tunnels gazed more at the center of the visual field (e.g., car ahead and road ahead); whereas the gaze pattern for open road driving spread toward other items in the scene (e.g., mirror, road side, and far ahead/sky). The heterogeneous surroundings for open roads may attract more diverse attention than tunnels. Findings from the study may help shed light on the mechanisms of attention when navigating in real environment and provide insights for road design and regulation for safety in high speed self motion. Meeting abstract presented at VSS 2017

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
LYL发布了新的文献求助10
刚刚
天天快乐应助凌山晴采纳,获得10
刚刚
斯文败类应助安详鸿采纳,获得10
刚刚
在水一方应助端庄煎饼采纳,获得10
刚刚
YESKY完成签到,获得积分10
1秒前
1秒前
CodeCraft应助Tracy麦子采纳,获得10
1秒前
WXY完成签到,获得积分20
2秒前
ning发布了新的文献求助20
2秒前
zq发布了新的文献求助10
2秒前
亚亚发布了新的文献求助10
3秒前
21驳回了852应助
3秒前
丘比特应助瘦瘦的冬天采纳,获得10
4秒前
4秒前
4秒前
淮安重午完成签到,获得积分10
5秒前
tangxin发布了新的文献求助10
7秒前
ylc发布了新的文献求助20
7秒前
小二郎应助baobao采纳,获得30
7秒前
9秒前
miao完成签到,获得积分10
9秒前
9秒前
赵珊完成签到,获得积分10
9秒前
9秒前
刻苦大叔完成签到,获得积分10
9秒前
9秒前
Charon完成签到,获得积分10
10秒前
乐乐应助宾师傅采纳,获得10
10秒前
10秒前
shuang完成签到,获得积分10
10秒前
深情安青应助土豆金采纳,获得10
10秒前
11秒前
11秒前
11秒前
李爱国应助果粒多采纳,获得10
11秒前
狸猫不礼貌完成签到,获得积分10
11秒前
英姑应助怡然灵珊采纳,获得10
12秒前
12秒前
Ava应助勤劳野狼采纳,获得10
12秒前
com发布了新的文献求助30
13秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3156110
求助须知:如何正确求助?哪些是违规求助? 2807513
关于积分的说明 7873605
捐赠科研通 2465844
什么是DOI,文献DOI怎么找? 1312456
科研通“疑难数据库(出版商)”最低求助积分说明 630107
版权声明 601905