Head-Up Display Graphic Warning to Support Collision Avoidance: Effect of Graphic Animation and Border on Driving Behavior and Eye Movement Pattern

动画 计算机科学 平视显示器 驾驶模拟器 制动器 停留时间 预警系统 模拟 计算机图形学(图像) 心理学 计算机视觉 工程类 汽车工程 临床心理学 电信
作者
Yuwei Wang,Jiaqing Song,Xiaojiang An,Shu Ma,Hongting Li,Duming Wang,Zhen Yang
出处
期刊:Transportation Research Record [SAGE Publishing]
卷期号:2677 (5): 636-652 被引量:7
标识
DOI:10.1177/03611981221134628
摘要

Several studies have determined the positive effect of head-up display (HUD) graphic warning to support collision avoidance. However, the visual complexity of the graphic warning may overburden the driver. Design principles and empirical evidence suggest that animation and border designs may increase visual saliency and reduce the visual complexity of graphic warnings. This study aimed to examine the effects of animation (within-subject factors: animated/non-animated) and border (within-subject factors: with/without border) on drivers’ attention and driving performance. Thirty drivers (19 females) experienced five warning conditions (the no-warning condition was the baseline condition) in simulated driving conditions. The results showed the positive effects of animation and border designs on the visual detection time (animation: 25.64% reduction; border: 6.73% reduction) and attention allocation strategies (animation: 9.53% less dwell time on the warning; border: 6.62% less dwell time on the warning) when compared with the original HUD warning. We only observed a positive effect of borders on brake reaction time (17.14% reduction). However, the positive effect of the border design on brake reaction time was only observed in the non-animated warning condition, and not in the animated warning condition. A limitation of the study is that the results were generated from young and inexperienced drivers, and they should be generalized to other driver groups only with caution. Overall, we recommend using non-animated warnings with borders in conditions that require fast reactions, and animated warnings with borders in conditions that require a superior attention strategy.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
坐以待币完成签到,获得积分20
刚刚
cwi发布了新的文献求助10
1秒前
冰美式关注了科研通微信公众号
1秒前
梦想是拿八个博士学位完成签到,获得积分10
1秒前
等待的谷波完成签到 ,获得积分10
2秒前
简单的千山完成签到,获得积分10
2秒前
俞俊敏发布了新的文献求助10
2秒前
蔡徐坤发布了新的文献求助10
3秒前
小易完成签到,获得积分10
4秒前
唠叨的兔子完成签到,获得积分10
4秒前
天天快乐应助千山飞雪采纳,获得10
4秒前
白瓜完成签到,获得积分10
4秒前
zyc完成签到,获得积分10
5秒前
5秒前
沉默的盼夏发布了新的文献求助200
6秒前
NexusExplorer应助ktqaiaiai采纳,获得10
6秒前
NexusExplorer应助追寻沛萍采纳,获得10
6秒前
6秒前
打打应助梦丹采纳,获得10
6秒前
123完成签到 ,获得积分10
6秒前
6秒前
7秒前
7秒前
雨滴油纸伞应助B_lue采纳,获得10
7秒前
代煜关注了科研通微信公众号
8秒前
小马甲应助全自动闯祸机采纳,获得10
9秒前
9秒前
10秒前
初见田完成签到 ,获得积分10
10秒前
梁三柏发布了新的文献求助10
10秒前
DOC_XIONG应助sharry47采纳,获得10
10秒前
HH发布了新的文献求助10
11秒前
11秒前
LucienS发布了新的文献求助10
11秒前
安静的诗蕊完成签到,获得积分10
11秒前
12秒前
qinggui127完成签到 ,获得积分10
12秒前
CYB发布了新的文献求助10
13秒前
13秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7708939
求助须知:如何正确求助?哪些是违规求助? 9265995
关于积分的说明 20058498
捐赠科研通 7285153
什么是DOI,文献DOI怎么找? 3296465
关于科研通互助平台的介绍 2451149
邀请新用户注册赠送积分活动 2303438