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图学学报 ›› 2026, Vol. 47 ›› Issue (4): 927-939.DOI: 10.11996/JG.j.2095-302X.2026040927

• 工业设计 • 上一篇    下一篇

基于视觉选择性注意的车载仪表盘界面交互设计研究

喻显媛, 朱兆华(), 吴静桐, 唐甜甜, 王文宇   

  1. 中国矿业大学建筑与设计学院江苏 徐州 221116
  • 收稿日期:2026-01-31 接受日期:2026-06-10 出版日期:2026-08-31 发布日期:2026-08-31
  • 通讯作者:朱兆华,E-mail:zhuzhaohua@cumt.edu.cn
  • 基金资助:
    国家自然科学基金(52005498);徐州市科技计划项目(KC21069)

Research on dashboard interface interaction design based on visual selective attention

YU Xianyuan, ZHU Zhaohua(), WU Jingtong, TANG Tiantian, WANG Wenyu   

  1. School of Architecture and Design, China University of Mining and Technology, Xuzhou Jiangsu 221116, China
  • Received:2026-01-31 Accepted:2026-06-10 Published:2026-08-31 Online:2026-08-31
  • Contact: ZHU Zhaohua,E-mail:zhuzhaohua@cumt.edu.cn
  • Supported by:
    National Natural Science Foundation of China(52005498);Xuzhou Science and Technology Project(KC21069)

摘要:

针对智能网联汽车驾驶场景中车载仪表盘信息过载引发的视觉干扰与认知负荷增加等问题,基于视觉选择性注意理论,探究信息权重、布局位置及色彩要素对驾驶员注意分配与信息获取效率的影响规律,构建提升界面可读性与认知效率的设计策略。首先,采用层次分析法(AHP)构建车载仪表盘信息层级模型,确定关键仪表信息的权重关系;其次,通过眼动实验,以中心型布局和哑铃型布局为研究对象,分析车速、电量与续航里程、功率及档位等高权重信息在不同布局下的认知效率差异;随后,运用k-means聚类算法提取主色、背景色、字体色及辅助色等视觉特征,总结车载仪表盘界面的配色规律;最后,基于研究结果提出界面设计策略,并结合系统可用性评价、眼动实验及用户偏好评价对设计方案进行综合验证,筛选最优方案。研究结果表明:行车基本信息在整体信息体系中权重最高,其中车速、电量与续航里程、功率及档位是驾驶过程中最受关注的核心信息;高权重信息布局于视觉中心及其邻近区域时,可显著提升信息搜索与识别效率;色彩方面,蓝色及蓝绿色系为当前仪表盘界面的主流配色,能够兼顾信息可读性与视觉舒适性。综合评价结果显示,所构建界面方案具有良好的系统可用性,以中心型布局结合蓝绿色配色方案在认知效率与用户偏好方面表现最优。基于视觉选择性注意理论构建的信息层级、布局优化与色彩设计策略能够有效优化仪表盘信息结构与视觉呈现方式,提升信息识别效率与界面可读性,为智能网联汽车仪表盘界面的设计与开发提供理论依据和实践参考。

关键词: 视觉选择性注意, 车载仪表盘, 界面交互设计, 驾驶安全, 人机交互

Abstract:

In intelligent connected vehicle driving scenarios, the increasing complexity of in-vehicle instrument cluster information has led to heightened visual interference and greater cognitive workload for drivers. Based on the theory of selective visual attention, this study investigated the effects of information weighting, spatial layout, and color attributes on drivers’ attentional allocation and information acquisition efficiency, and developed corresponding design strategies aimed at improving interface readability and cognitive efficiency. This research was organized around three dimensions: “information weight-layout positioning-color characteristics.” First, the Analytic Hierarchy Process (AHP) was employed to construct a hierarchical model of in-vehicle instrument cluster information, allowing the extraction and quantification of the weight relationships among key information elements. Second, eye-tracking experiments were conducted with center-aligned and dumbbell-shaped layouts as the primary experimental conditions to analyze differences in cognitive efficiency for high-weight information, including vehicle speed, battery level and remaining range, power output, and gear status, under different spatial configurations. Third, a k-means clustering algorithm was applied to extract visual characteristics such as primary color, background color, font color, and auxiliary color, thereby summarizing the color design patterns of in-vehicle instrument cluster interfaces. Finally, based on the research findings, interface design strategies were proposed, and a comprehensive evaluation was conducted through system usability assessment, eye-tracking analysis, and user preference testing to validate the design solutions and identify the optimal scheme. The results indicated that essential driving information had the highest overall weight within the information system. Among these, vehicle speed, battery level and remaining range, power output, and gear status were identified as the most critical information elements receiving the greatest driver attention during driving tasks. When high-weight information was arranged in the visual center and its surrounding regions, both information search efficiency and recognition efficiency were significantly improved. In terms of color design, blue and blue-green color schemes are the mainstream visual styles for current instrument cluster interfaces, effectively balancing readability and visual comfort. The evaluation results further demonstrated that the proposed interface solutions exhibited good system usability. In particular, the center-aligned layout combined with a blue-green color scheme achieved superior performance in both cognitive efficiency and user preference. In conclusion, the information hierarchy, layout optimization, and color design strategies constructed based on the theory of selective visual attention effectively optimized the information structure and visual presentation of in-vehicle instrument clusters. These strategies significantly enhanced information recognition efficiency and interface readability, providing both theoretical foundations and practical guidance for the design and development of intelligent connected vehicle instrument cluster interfaces.

Key words: visual selective attention, vehicle dashboard, interface interaction design, driving safety, human-computer interaction

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