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图学学报 ›› 2025, Vol. 46 ›› Issue (2): 459-468.DOI: 10.11996/JG.j.2095-302X.2025020459

• 工业设计 • 上一篇    下一篇

汽车自动驾驶接管系统人机界面用户体验评价研究

吴磊(), 盛芹芹, 赵睿思   

  1. 华中科技大学机械科学与工程学院,湖北 武汉 430074
  • 收稿日期:2024-08-27 接受日期:2024-11-12 出版日期:2025-04-30 发布日期:2025-04-24
  • 第一作者:吴磊(1982-),男,副教授,博士。主要研究方向为用户体验评估、智能产品设计与人机交互。E-mail:lei.wu@hust.edu.cn
  • 基金资助:
    湖北省重点研发计划(2022BAA071)

User experience evaluation of human machine interface in automotive autonomous driving takeover system

WU Lei(), SHENG Qinqin, ZHAO Ruisi   

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan Hubei 430074, China
  • Received:2024-08-27 Accepted:2024-11-12 Published:2025-04-30 Online:2025-04-24
  • First author:WU Lei (1982-), associate professor, Ph.D. His main research interests cover user experience evaluation, intelligent product design and human-computer interaction. E-mail:lei.wu@hust.edu.cn
  • Supported by:
    Hubei Province Key Research and Development Plan(2022BAA071)

摘要:

为解决汽车自动驾驶接管系统人机界面用户体验评价问题,针对自动驾驶接管系统人机界面开展评价指标体系和验证研究。首先,基于深度访谈和扎根理论,通过对典型目标对象进行访谈,建立自动驾驶接管系统人机界面体验评价指标体系,包括安全体验、功能体验、效能体验和感性体验4个维度,共18项指标组成,并完成自动驾驶接管系统人机界面体验评价量表。然后,采用结构方程模型方法,通过采集有效问卷241份,构建自动驾驶接管系统人机界面体验评价结构方程模型,并得到评价维度和指标的权重。最后,提出汽车自动驾驶接管系统人机界面的设计策略,以某L3级自动驾驶接管系统人机界面为设计案例实践,验证了评价系统的有效性。研究结论为汽车自动驾驶系统界面设计和体验评价领域提供相关参考和支持。

关键词: 汽车自动驾驶接管系统, 人机界面, 用户体验评价, 扎根理论, 结构方程模型

Abstract:

To address the user experience evaluation problem of the human machine interface in autonomous driving takeover systems, a study was conducted on the evaluation index system and validation research of the autonomous driving takeover system. Firstly, based on in-depth interview and grounded theory, interviews were conducted with typical target individuals to establish an evaluation index system for the human-machine interface experience of autonomous driving takeover systems. The index system was composed of 18 indicators in four dimensions, namely safety experience, functional experience, efficiency experience and emotional experience. An evaluation scale for human-machine interface experience of autonomous driving takeover system was subsequently completed. Then, using the structural equation model method, 241 valid questionnaires were collected to construct a structural equation model of human machine interface experience evaluation of autonomous driving takeover system, and the evaluation dimension and index weights were determined. Finally, the design strategy for the human machine interface of the autonomous driving takeover system was proposed. The effectiveness of the evaluation system was verified through a design case study of the human machine interface of an L3 level autonomous driving takeover system. The research results provided relevant references and support for the field of interface design and experience evaluation of automotive autonomous driving system.

Key words: automotive autonomous driving takeover system, human machine interface, user experience evaluation, grounded theory, structural equation model

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