一项初步模拟器研究,探索驾驶员对驾驶系统提醒的反应,该研究涉及车辆中的四种刺激
Zhao Zou1, Fady Alnajjar2, Michael Lwin3
1School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, NSW, Australia.
Scientific reports
|February 1, 2025
概括
听觉驾驶提醒器,如报警器和语音命令,是司机喜欢的视觉警报. 这项研究强调了在自动驾驶汽车中需要基于声音的警报,以改善驾驶员合作和更安全的驾驶体验.
科学领域:
- 人与计算机的交互
- 汽车工程 汽车工程
- 认知心理学 认知心理学
背景情况:
- 社会正在向自动驾驶汽车过渡,因此对有效的驾驶辅助系统的需求正在增加.
- 了解驾驶员对车载警报的偏好对于提高安全性和用户体验至关重要.
研究的目的:
- 为了比较不同类型的驾驶系统提醒的驾驶员偏好和合作率:文本,图像,报警和语音命令.
- 研究各种提醒格式在模拟驾驶环境中对驾驶员行为和情绪状态的影响.
主要方法:
- 使用了一个高保真驾驶模拟器,结合了驾驶系统,提醒系统和情绪检测模型.
- 六名参与者完成了四次驾驶课程,每个人都接触了六种类型的驾驶提醒.
- 观察了驾驶员的表现,监测了情绪状态,并在实验后的问卷中评估了使用5级利克尔特级别的提醒偏好.
主要成果:
- 听觉提醒 (报警通知和人形语音命令) 与视觉提醒 (文本和图像显示) 相比,表现出更高的识别和合作率.
- 司机表示更喜欢基于语音的驾驶提醒,与观察到的合作行为保持一致.
- 该研究发现,基于声音的警报在吸引司机方面更有效.
结论:
- 基于语音和基于警报的驾驶提醒比基于文本或图像的提醒更有效,以改善驾驶员的合作.
- 这些发现为设计未来自动驾驶汽车的直观和响应式人机交互提供了洞察力.
- 这项研究有助于推进汽车用户界面设计,以增强驾驶员助理通信.
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