From HMI to HRI: Human-Vehicle Interaction Design for Smart Cockpit
From HMI to HRI: Human-Vehicle Interaction Design for Smart Cockpit
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从HMI到HRI：智能座舱人车交互设计
DOI：
10.1007/978-3-319-91244-8_35
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Jingcheng Li
中科院分区：
文献类型：
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作者：
Xiaohua Sun;Honggao Chen;Jintian Shi;Weiwei Guo;Jingcheng Li
HMI是从把汽车当作机器的角度来进行人车交互设计的。然而，随着智能驾驶舱需求的快速增长，如果我们仍然从面向控制的人机界面角度进行设计，将会对智能交互和互联服务的设计产生很大的约束。通过将人机交互（HMI）的概念转换为人机交互（HRI），可以极大地开辟与汽车作为智能系统进行自然交互的创新空间。这也使得人们可以进一步关注诸如通过智能交互对系统进行自适应学习等主题。从人机交互的角度进行设计对于自动驾驶汽车来说更为重要，它可以为用户提供从驾驶控制到车载功能和连接服务的更一致的智能体验。本文介绍了从HRI的角度设计人-车交互的方法，该方法包括三个部分：智能感知、预测和决策模块，自适应用户界面模块和智能语音模块。
HMI is used to refer to human-vehicle interaction design from the perspective of taking car as a machine. However, with the quick increase of demand for smart cockpit, it would put strong constraints to the design of intelligent interactions and connected services if we still design from the perspective of control-oriented interface with a machine. By switching the concept from Human Machine Interaction (HMI) to Human Robot Interaction (HRI) can instead greatly open up the space of innovation for the development of natural interactions with the car as an intelligent system. This also make it possible to further focus on topics such as adaptive learning of the system through smart interaction. Designing from the perspective of human robot interaction is even more important for autonomous vehicles, which can provide to users a more consistent intelligent experience from driving control to in-vehicle functions and connected services. we introduce in this paper our approach in designing human-vehicle interaction from the HRI perspective, which is further composed of three parts: the intelligent sensing, predicting, and decision-making module, the adaptive user interface module, and the intelligent voice module.