人机交互
虚拟现实
计算机科学
驾驶模拟器
用户界面
接口(物质)
用户体验设计
认知
心理模型
驾驶模拟
平视显示器
可视化
模拟
人工智能
气泡
神经科学
并行计算
认知科学
最大气泡压力法
操作系统
生物
心理学
作者
Lia Morra,Fabrizio Lamberti,Filippo Gabriele Pratticò,S. La Rosa,Paolo Montuschi
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2019-08-06
卷期号:68 (10): 9438-9450
被引量:18
标识
DOI:10.1109/tvt.2019.2933601
摘要
The investigation of factors contributing at making humans trust Autonomous Vehicles (AVs) will play a fundamental role in the adoption of such technology. The user's ability to form a mental model of the AV, which is crucial to establish trust, depends on effective user-vehicle communication; thus, the importance of Human-Machine Interaction (HMI) is poised to increase. In this work, we propose a methodology to validate the user experience in AVs based on continuous, objective information gathered from physiological signals, while the user is immersed in a Virtual Reality-based driving simulation. We applied this methodology to the design of a head-up display interface delivering visual cues about the vehicle' sensory and planning systems. Through this approach, we obtained qualitative and quantitative evidence that a complete picture of the vehicle's surrounding, despite the higher cognitive load, is conducive to a less stressful experience. Moreover, after having been exposed to a more informative interface, users involved in the study were also more willing to test a real AV. The proposed methodology could be extended by adjusting the simulation environment, the HMI and/or the vehicle's Artificial Intelligence modules to dig into other aspects of the user experience.
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