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首页> 外文会议>International Conference on HCI in Mobility, Transport, and Automotive Systems;International Conference on Human-Computer Interaction >Human-Computer Collaborative Interaction Design of Intelligent Vehicle: A Case Study of HMI of Adaptive Cruise Control
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Human-Computer Collaborative Interaction Design of Intelligent Vehicle: A Case Study of HMI of Adaptive Cruise Control

机译：智能车辆的人机协作互动设计 - 以自适应巡航控制HMI为例

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摘要

With the rapid development of the intelligent vehicle industry, in order to improve the efficiency and usability of systems, the interface design of the Human-Computer Interaction of intelligent vehicles has received great attention. In this article, firstly, combined with the domestic and foreign taxonomy of automated driving systems and collaborative design concepts, a framework of human-computer collaborative interaction (Human-Engaged Automated Driving, HEAD) is proposed. Secondly, we discussed the engagement of people and intelligent vehicle at different levels. We analyzed the interaction flow chart under the Human-Computer Collaboration, established the information architecture of Human-Computer Engagement, and conducted the design practice on the Human-Machine Interface. Finally, a case study of the HMI design of Adaptive Cruise Control was performed to validate the HEAD framework. SUS usability test was performed together with an experiment evaluating interface elements in two interface designs: Original UI design and Iterative UI design. This also including a Likert scale questionnaire. The results show that HEAD can guide and improve the Human-Machine Interface design to enhance the efficiency of Human-Computer Interaction and user experience.
机译：随着智能车辆行业的快速发展，为了提高系统的效率和可用性，智能车辆人机互动的界面设计得到了极大的关注。在本文中，首先，与自动化驾驶系统的国内外分类和协作设计概念相结合，提出了人机协作互动（人机自动驾驶，头部）的框架。其次，我们讨论了人们和智能车辆在不同层面的参与。我们分析了人机协作下的交互流程图，建立了人机参与的信息架构，并在人机界面上进行了设计实践。最后，进行了对自适应巡航控制的HMI设计的案例研究，以验证头部框架。 SUS可用性测试与两种接口设计中的实验元素一起进行：原始UI设计和迭代UI设计。这也包括李克特规模问卷。结果表明，头部可以指导和改进人机界面设计，提高人机交互的效率和用户体验。

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