对于各种外观的自动化车辆,行人对自动化车辆的感知,固定和决策
Wei Lyu1, Yaqin Cao1, Yi Ding1
1School of Economics and Management, Anhui Polytechnic University, Wuhu 241000, China.
Accident; analysis and prevention
|December 10, 2024
概括
自动驾驶汽车 (AV) 的屈服行为显著影响行人过路的决定. 虽然文本和雷达等外部功能会分散行人的注意力,但动态的外部人机界面 (eHMI) 可以提高安全性和通信性.
科学领域:
- 人与计算机的交互
- 运输工程 运输工程
- 认知心理学 认知心理学
背景情况:
- 未来的自动驾驶汽车 (AV) 将具有新的外部设计,包括身份指标和外部人机接口 (eHMI).
- 这些自动驾驶汽车设计对行人穿越行为,感知和决策的影响在很大程度上仍未被探索.
- 行人安全是一个关键问题,需要研究AV如何与弱势道路使用者互动.
研究的目的:
- 研究AV外观设计和动力学对行人十字路口感知和决策的影响.
- 分析与自动驾驶汽车交互的行人多式联动性能,包括主观感知,目光模式和交叉决策.
- 为AVS设计更安全,更有效的外部交互提供见解.
主要方法:
- 基于视频的眼睛跟踪实验与61名参与者进行.
- 参与者观看了AVs的视频刺激,其中操纵了动力学模式 (屈服/不屈服) 和各种外观.
- 记录的关键指标包括感知清晰度,交叉启动时间 (CIT),交叉启动距离 (CID) 和凝视行为.
主要成果:
- 交叉车的动力学显著影响了行人交叉路口的决定,主观评估和交叉开始距离 (CID).
- 文字识别指示和屋顶雷达传感器没有影响CIT或CID,但对视觉注意力产生了负面影响 (增加固定数量和持续时间).
- 外部人机接口 (eHMI) 减少了视觉负载,加快了交叉决策 (时间和空间),并提高了通信效率.
结论:
- 步行者交叉路口的决定主要由AV屈服行为来决定.
- 虽然一些AV外部功能可能会分散行人的注意力,但eHMI可以增强行人的感知和决策,提高安全性.
- 这些发现对自动驾驶汽车的外部交互设计具有重要意义,优先考虑脆弱的道路使用者安全.
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