目的 针对传统应急救援车辆造型设计重符号象征而忽视动态交互的局限,研究旨在探索能够有效整合造型形态、交互逻辑与用户体验的设计新范式,以提升车辆在复杂应急任务下的综合效能。方法 以救护车为研究对象,旨在通过融合眼动追踪、生理电信号与压力传感的多传感器实验平台,搭建“造型特征输入-用户认知状态-驾驶行为输出”的量化评估模型。基于该模型,设计实施对比性驾驶模拟实验,采集不同交互策略的整车造型方案下驾驶员的多维数据,并运用统计分析与模糊综合评价(FCE)法进行量化解析。结果 优化后的造型设计能有效提升驾驶员情境感知效率、降低认知负荷,引导更准确地操作行为,对其关键指标改善具有统计学意义。结论 本研究为智能时代交通工具的造型设计提供了从“美学驱动”到“体验验证”的理论支撑与实践方法,丰富了设计学交叉研究的方法理论体系。
Abstract
The work aims to explore a new design paradigm that effectively integrates form, interaction logic, and user experience to enhance the vehicle's overall performance during complex emergency operations to address the limitations of traditional emergency vehicle styling design, which emphasizes symbolic imagery while neglecting dynamic interaction. Taking ambulances as the research subject, a multi-sensor experimental platform integrating eye-tracking, physiological electrical signals, and pressure sensors was employed to construct a quantitative assessment model linking "form feature input" to "user cognitive state" and resulting in "driving behavior output". Based on this model, a comparative driving simulation experiment was designed and implemented to collect multidimensional driver data under different vehicle styling schemes with varying interaction strategies. Statistical analysis and fuzzy comprehensive evaluation (FCE) were applied for quantitative analysis. Results indicated that optimized design configurations effectively enhanced drivers' situational awareness efficiency, reduced cognitive load, and guide more precise operational behaviors, with statistically significant improvements in key metrics. Consequently, this study provides theoretical support and practical methodologies for vehicle styling design in the intelligent era, transitioning from "aesthetics-driven" to "experience-validated" approaches, thereby enriching the methodological and theoretical framework of interdisciplinary design research.
关键词
造型设计 /
多传感器融合 /
交互设计 /
模糊综合评价法(FCE) /
应急救援车辆 /
用户体验
Key words
styling design /
multi-sensor integration /
interaction design /
fuzzy comprehensive evaluation (FCE) method /
emergency rescue vehicles /
user experience
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参考文献
[1] 杨艺, 程俊翔. 基于KANO-AHP-FCE混合模型下的模块化救护车设计研究[J]. 包装工程, 2025, 46(16):575-587.
YANG Y, CHENG J X.Modular Ambulance Design Based on KANO-AHP-FCE Model[J]. Packaging Engineering, 2025, 46(16):575-587.
[2] 杨艺. 大健康时代背景下服务设计理念医疗产品设计研究[J]. 中国设备工程, 2022(10):49-51.
YANG Y.Research on Service Design Concept and Medical Product Design under the Background of Great Health Era[J]. China Plant Engineering, 2022(10):49-51.
[3] 王年文, 陆春杉, 毕翼飞, 等. 公共安全视角下智能应急装备交互方式研究综述[J]. 包装工程, 2025, 46(10):1-11.
WANG N W, LU C S, BI Y F, et al.Review of Research on Interactive Methods of Intelligent Emergency Equipment from the Perspective of Public Safety[J]. Packaging Engineering, 2025, 46(10):1-11.
[4] 王海, 徐岩松, 蔡英凤, 等. 基于多传感器融合的智能汽车多目标检测技术综述[J]. 汽车安全与节能学报, 2021, 12(4):440-455.
WANG H, XU Y S, CAI Y F, et al.Overview of Intelligent Vehicle Multi-Target Detection Technology Based on Multi-Sensor Fusion[J]. Journal of Automotive Safety and Engergy, 2021, 12(4):440-455.
[5] 师小波, 赵丁选, 孔志飞, 等. 基于多传感器信息融合的车辆高精度定位技术[J]. 中国机械工程, 2022, 33(19):2381-2387.
SHI X B, ZHAO D X, KONG Z F, et al.Vehicle High-Precision Positioning Technique Based on Multi-Sensors Information Fusion[J]. China Mechanical Engineering, 2022, 33(19):2381-2387.
[6] 黄颖捷, 张浩南, 汤浩, 等. 基于手部动线观察法的救护车布局设计[J]. 包装工程, 2025, 46(2):60-70.
HUANG Y J, ZHANG H N, TANG H, et al.Ambulance Layout Design Based on Hand Movement Trajectory Observation Method[J]. Packaging Engineering, 2025, 46(2):60-70.
[7] 龚安东, 李鹏. 基于粒子群算法的救护车布局优化[J]. 农业装备与车辆工程, 2024, 62(2):82-85.
GONG A D, LI P.Optimization of Layout of Medical Equipment Inside Ambulances Based on Particle Swarm Optimization Algorithm[J]. Agricultural Equipment & Vehicle Engineering, 2024, 62(2):82-85.
[8] 王正通, 赵丹华, 李天添. 汽车内饰造型设计中的空间动线研究[J]. 包装工程, 2020, 41(16):223-229.
WANG Z T, ZHAO D H, LI T T.Space Circulation in Automotive Interior Design[J]. Packaging Engineering, 2020, 41(16):223-229.
[9] 阎兴盛, 李翠玉, 王肖梓宇, 等. 基于眼动试验的救护车内饰感性设计研究[J]. 机械设计, 2023, 40(3):135-141.
YAN X S, LI C Y, WANG X, et al.Study on Interior Design of Ambulance Based on Eye Movement Test and Kansei Engineering[J]. Journal of Machine Design, 2023, 40(3):135-141.
[10] 金叶磊, 古兰拜尔·吐尔洪, 买日旦·吾守尔. 情感分析中的多传感器数据融合研究综述[J]. 计算机工程与应用, 2023, 59(23):1-14.
JIN Y L, GULANBAIER T, MAIRIDAN W.Review of Multimodal Sensor Data Fusion in Sentiment Analysis[J]. Computer Engineering and Applications, 2023, 59(23):1-14.
[11] 吴传平. 基于多传感器融合的汽车碰撞事故预警系统设计[J]. 现代电子技术, 2025, 48(22):167-171.
WU C P.Design of Automotive Collision Accident Warning System Based on Multi-Sensor Fusion[J]. Modern Electronics Technique, 2025, 48(22):167-171.
[12] 周健鑫, 莫磊. 基于多源传感器融合的抗天气干扰目标检测方法[J/OL]. 工程科学学报,2026:1-13.[2026-01-22]. https://cje.ustb.edu.cn/cn/article/id/d3efe071-7d1c-4e42-8ef5-21a4b8dbadc6.
ZHOU J L, MO L. Robust target Detection Method Against Weather Interference Based on Multisourcesensor Fusion[J/OL]. Chinese Journal of Engineering, 2026:1-13.[2026-01-22]. https://cje.ustb.edu.cn/cn/article/id/d3efe071-7d1c-4e42-8ef5-21a4b8dbadc6.
[13] 贾鑫, 李松霖, 佘远昇, 等. 基于交互多模型的智能汽车环境感知信息统一融合方法研究[J]. 汽车工程, 2025, 47(6):1144-1154.
JIA X, LI S L, SHE Y S, et al.Research on Environmental Perception Information Unified Fusion Method of Intelligent Vehicle Based on Interactive Multiple Models[J]. Automotive Engineering, 2025, 47(6):1144-1154.
[14] 张雷, 张雪超, 王超, 等. 基于在线强化学习算法的救护车智能调控模型[J]. 系统仿真学报, 2025, 37(3):584-594.
ZHANG L, ZHANG X C, WANG C, et al.An Intelligent Ambulance Regulation Model Based on Online Reinforcement Learning Algorithm[J]. Journal of System Simulation, 2025, 37(3):584-594.
[15] 涂波, 李燮雯. 基于FAHP-FBS融合的自行式房车车载人机界面设计研究[J]. 装饰, 2024(10):139-141.
TU B, LI X W.Research on Self-Contained RV Onboard Human-Machine Interface Design Based on FAHP-FBS Integration[J]. Art & Design, 2024(10):139-141.
[16] 仝秋红, 曹扬, 柴国庆, 等. 车路协同信息融合的智能汽车行驶状态模糊评判[J]. 中国公路学报, 2022, 35(6):254-264.
TONG Q H, CAO Y, CHAI G Q, et al.Fuzzy Evaluation of an Intelligent-Vehicle Driving State Based on a Vehicle-Road Collaborative Information Fusion[J]. China Journal of Highway and Transport, 2022, 35(6):254-264.
[17] 许永生, 李丽丽, 吴尤荻, 等. 基于注意力分配的高铁操纵台界面布局优化设计[J]. 西南交通大学学报, 2022, 57(2):401-409.
XU Y S, LI L L, WU Y D, et al.Optimization Design of Interface Layout of High-Speed Railway Control Console Based on Attention Distribution[J]. Journal of Southwest Jiaotong University, 2022, 57(2):401-409.
[18] 谢宇威, 林传峰. 基于模糊聚类的多传感器数据融合算法优化[J]. 吉林大学学报(理学版), 2025, 63(5):1462-1467.
XIE Y W, LIN C F.Optimization of Multi-Sensor Data Fusion Algorithm Based on Fuzzy Clustering[J]. Journal of Jilin University (Science Edition), 2025, 63(5):1462-1467.
基金
2024年教育部学位与研究生教育发展中心项目(ZT-2410523009)