汽车用户界面的基于线和基于平面的图标研究
Yunzhi Yan1, Li Meng1, Chaolan Tang1
1School of Art and Design, Guangdong University of Technology, Guangzhou, China.
International journal of occupational safety and ergonomics : JOSE
|February 18, 2026
概括
图标的视觉特征影响自动驾驶系统中的内存负载,而不是识别准确性. 基于线的图标适合低内存负载,而基于平面的图标在高内存负载场景中表现出色,以获得更好的汽车用户界面设计.
科学领域:
- 人与计算机的交互
- 认知心理学 认知心理学
- 汽车工程 汽车工程
背景情况:
- 图标对于克服人机交互中的语言障碍至关重要,特别是在自动驾驶领域.
- 有限的研究存在于自动驾驶汽车的图标设计原则,与不一致的分类方法,并专注于对认知机制的偏好.
- 认知负载理论为理解图标的视觉特征如何影响用户性能提供了一个框架.
研究的目的:
- 根据与自动驾驶接口相关的视觉特征对图标进行分类.
- 研究这些视觉特征对图标识别和内存负载的影响.
- 为优化汽车用户界面中的图标设计提供经验证据.
主要方法:
- 在与43名参与者进行的快速交互实验中利用脑电图 (EEG).
- 收集了不同图标类别的图标识别精度和内存负载的数据.
- 基于独特的视觉特征 (例如,基于线的与基于平面的) 的分类图标.
主要成果:
- 视觉特征没有显著影响图标识别准确度.
- 视觉特征显著影响了内存负载.
- 在低内存负载条件下,基于线的图标更有效.
- 基于平面的图标在高内存负载任务中显示了优势.
结论:
- 自动驾驶中的图标设计应该考虑认知负载,而不仅仅是视觉吸引力或注意力.
- 根据预期的内存负载定制图标的视觉功能可以提高用户体验和性能.
- 结果为设计有效的汽车用户界面提供了实际指导.
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