图书情报知识 ›› 2023, Vol. 40 ›› Issue (2): 40-48.doi: 10.13366/j.dik.2023.02.040

• 专题·人智交互体验度量与智能产品设计 • 上一篇    下一篇

增强现实抬头显示器视觉解释类型对自动驾驶系统用户接受度的影响

李卓 1, 童先顺 1, 田慧溢 2, 刘星辰 1   

  1. 1.武汉理工大学艺术与设计学院,武汉,430070;
    2.武汉大学信息资源研究中心,武汉,430072
  • 出版日期:2023-03-10 发布日期:2023-05-09
  • 通讯作者: 李卓(ORCID:0000-0001-5517-804X),博士,副教授,研究方向:出行创新、智能设计,Email:lubenn@whut.edu.cn。
  • 作者简介:童先顺(ORCID:0000-0001-8826-9714),硕士研究生,研究方向:汽车交互设计,Email:txshun@whut.edu.cn;田慧溢(ORCID:0000-0002-7527-7691),博士研究生,研究方向:人智交互、信息行为,Email:tian_huiyi@foxmail.com;刘星辰 (ORCID:0000-0002-6477-5281),硕士研究生,研究方向:HMI 设计、用户研究,Email:lxc320688@whut.edu.cn。
  • 基金资助:
    本文系国家社会科学基金重大项目“ 人本人工智能驱动的信息服务体系重构与应用研究 ”(22&ZD325)和湖北省科技厅重点研发计划项目“L3+ 自动驾驶汽车智能座舱设计关键技术及应用示范 ”(2022BAA071)的研究成果之一。

The Effect of Visual Explanation Types of Augmented Reality Head-Up Display on User Acceptance of Autonomous Driving System

LI Zhuo, TONG Xianshun, TIAN Huiyi, LIU Xingchen   

  • Online:2023-03-10 Published:2023-05-09
  • Contact: Correspondence should be addressed to LI Zhuo,Email:lubenn@whut.edu.cn, ORCID: 0000-0001-5517-804X
  • Supported by:
    This is an outcome of the Major Project "Information Service System Restructuring and Application Driven by Human-Centered Artificial Intelligence"(22&ZD325)supported by National Social Science Foundation of China and the project "Key Technologies and Application Demonstrations of Smart Cockpit Design for L3+ Autonomous Vehicles"(2022BAA071)supported by a grant from the Key R&D Program of Department of Science and Technology of Hubei Province.

摘要: [ 目的 / 意义 ] 人工智能的技术突破加速了自动驾驶系统的发展进程,使得自动驾驶和相关行业迎来了新一轮的发展机遇。增强现实抬头显示器(AR-HUD)是目前自动驾驶领域最具应用前景的人智交互界面之一。探索不同环境可见度条件下采用何种 AR-HUD视觉解释类型能够提高用户对自动驾驶系统的接受度,有助于提高自动驾驶系统决策的透明性,推动可解释的人工智能(Explainable AI)的发展。[ 研究设计 / 方法 ] 受控实验采取3(视觉解释类型:图标 / 文本 / 无)×2(环境可见度 : 高 / 低)组内设计,61名参与者在6种不同的模拟驾驶场景中与 AR-HUD 交互,用量表度量驾驶中人智交互的用户体验,包括用户对自动驾驶系统的感知、态度及意愿。[ 结论 / 发现 ] AR-HUD 的视觉解释类型显著影响用户对自动驾驶系统的接受度,图标解释效果显著优于文本解释和无解释;然而,环境可见度不存在显著的调节作用。[ 创新 / 价值 ] 结合仿真模拟软件和实体模型创建了逼真的驾驶场景,通过受控实验精准度量人智交互的用户体验,为通过 AR-HUD 设计打开自动驾驶“ 黑匣子 ”提供了实证依据,并为度量人智交互的用户体验提供了方法支持。

关键词: 人智交互 , 自动驾驶 , 可解释性 , 接受度 , 增强现实抬头显示器

Abstract: [Purpose/Significance] Technological breakthroughs in artificial intelligence have accelerated the process of autonomous driving system, ushering in another round of eager attention to the autonomous driving industry and related industries. Augmented reality head-up display(AR-HUD)is currently one of the most promising human-AI interfaces in the field of autonomous driving.Exploring which type of AR-HUD visual explanation can improve user acceptance of autonomous driving system under different environmental visibility conditions will help improve the transparency of decision-making based on autonomous driving system and promote the development of explainable artificial intelligence(Explainable AI). [Design/Methodology] This controlled experiment adopted a within-subjects design of (3 visual explanation type: icon/text/none)× 2(environmental visibility: high/low), with 61 participants in 6 different simulated scenarios of driving interacted with AR-HUD.The human-AI interaction experience with scales were measured, including the user's perception, attitude, and willingness to the autonomous driving system. [Findings/Conclusion] The type of visual explanation of AR-HUD significantly affects user acceptance of autonomous driving system, and icon explanation's effect is significantly better than text explanation and no explanation; however, there is no significant moderating effect of environmental visibility on user acceptance. [Originality/Value] By combining simulation software and physical models, this study creates realistic driving scenes and accurately measures the human-AI interaction experience through controlled experiments, which provides an empirical basis for opening the 'blackbox' of autonomous driving by AR-HUD design, and proposes a methodological supporting for measuring the human-AI interaction experience.

Keywords: Human-AI interaction, Autonomous driving, Explainable, Acceptance, Augmented Reality Head-Up Display