基于AR-HUD的驾驶警告系统的生态接口的设计和评估
Jun Ma1,2, Yuhui Li1, Yuanyang Zuo1
1College of Design and Innovation, Tongji University, Shanghai 200092, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
本研究介绍了增强现实头部显示器 (AR-HUD) 的生态界面设计策略,以改进驾驶警报系统 (DWS). 新设计减少了驾驶员的认知负载和响应时间,提高了道路安全.
科学领域:
- 人与计算机的交互
- 汽车安全工程 汽车安全工程
- 认知心理学 认知心理学
背景情况:
- 越来越复杂的交通环境需要先进的驾驶预警系统 (DWS).
- 增强现实头顶显示器 (AR-HUD) 可以提高驾驶员的注意力,但如果设计不佳,可能会增加认知负载.
- 关于AR-HUD DWS接口设计的系统研究有限.
研究的目的:
- 为AR-HUD DWS提出一个生态接口认知平衡设计策略.
- 为了提高驾驶员的注意力,并在警告场景中减少认知负载.
- 为AR-HUD警告接口研究提供理论和方法框架.
主要方法:
- 基于认知负载理论和环境界面设计理论的设计模型的开发.
- 为AR-HUD DWS创建一个整合性框架.
- 在警告场景中对拟议的设计策略进行实验验证.
主要成果:
- 拟议的生态界面设计策略有效地减少了驾驶员的认知负载.
- 观察到司机响应和理解时间的显著下降.
- 新的AR-HUD DWS接口在性能指标方面表现优于现有的设计.
结论:
- 生态界面认知平衡设计策略为AR-HUD DWS提供了一种有价值的方法.
- 这一框架为未来的研究提供了理论参考和方法指导.
- 该设计通过优化驾驶员注意力和最大限度地减少认知负担来促进驾驶安全.
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