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宫勇, 裘曼琳, 霍发仁. 基于视觉复杂度、空间频率的汽车界面图标视觉搜索效率研究[J]. 计算机辅助设计与图形学学报, 2023, 35(10): 1612-1619. DOI: 10.3724/SP.J.1089.2023.19591
引用本文: 宫勇, 裘曼琳, 霍发仁. 基于视觉复杂度、空间频率的汽车界面图标视觉搜索效率研究[J]. 计算机辅助设计与图形学学报, 2023, 35(10): 1612-1619. DOI: 10.3724/SP.J.1089.2023.19591
Gong Yong, Qiu Manlin, Huo Faren. Research on the Efficiency of Visual Search for Car Interface Icons Based on Visual Complexity and Spatial Frequency[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(10): 1612-1619. DOI: 10.3724/SP.J.1089.2023.19591
Citation: Gong Yong, Qiu Manlin, Huo Faren. Research on the Efficiency of Visual Search for Car Interface Icons Based on Visual Complexity and Spatial Frequency[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(10): 1612-1619. DOI: 10.3724/SP.J.1089.2023.19591

基于视觉复杂度、空间频率的汽车界面图标视觉搜索效率研究

Research on the Efficiency of Visual Search for Car Interface Icons Based on Visual Complexity and Spatial Frequency

  • 摘要: 汽车界面图标需要能在复杂驾驶环境中进行高效、安全交互的设计. 针对图标在有限认知资源环境下的视觉搜索问题, 通过一组双目标的快速序列视觉呈现实验, 考察了图标的视觉复杂度与空间频率对目标搜索效率的影响. 实验设定目标一为警戒任务, 限制认知资源量; 设定目标二为分心任务, 反映注意力需求. 实验结果表明, 视觉搜索效率受视觉复杂度干扰显著, 低复杂度图标识别正确率较高, 且反应时间较短; 视觉搜索效率受空间频率干扰显著, 高空间频率图标识别正确率较高, 且反应时间较短; 视觉复杂度与空间频率的交互效应非常显著. 文中研究表明, 汽车界面图标的视觉复杂度决定了被试的视觉加工机制, 在图标简单时倾向于整体加工; 高空间频率信息是汽车界面图标识别的关键尺度, 且越复杂的图标识别越需要高空间频率信息的参与; 低空间频率信息是影响专家经验加工的重要因素. 研究结果为智能汽车界面图标设计提供了重要的工效学依据.

     

    Abstract: Car interface icons need to be designed for efficient and safe interaction in complex driving environments. Aiming at the visual search problem of icons in an environment with limited cognitive resources, the effects of the visual complexity and spatial frequency of the car interface icons on the efficiency of visual search was investigated through a set of dual-task rapid presentation sequence experiments. In the experiment, target 1 is set as a vigilance task to limit the number of cognitive resources; target 2 is set as a distraction task to reflect attention needs. The results show that the visual search efficiency is significantly interfered by visual complexity and spatial frequency, the recognition accuracy rate of low-complexity, and high-spatial frequency car interface icons is higher and the response time is shorter. The interaction effect between visual complexity and spatial frequency is very significant. This study shows that the visual complexity of car interface icons determines the visual processing mechanism of the subjects, and the icons tend to be processed as a whole when they are simple; high-spatial frequency information is the key dimension of car interface icon recognition, and the recognition of more complex icons requires more participation of high spatial frequency information; low-spatial frequency information is a factor affecting the familiarity of car interface icons. The results of this paper provide an important ergonomic basis for the icon design of the automotive car interface.

     

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