包装工程第40卷第20期
playboys>技术英文
谭浩1，孙家豪2，关岱松3，周茉莉3，齐健平3，赵颖2
engage（1.湖南大学汽车车身先进设计制造国家重点实验室，长沙410082；
2.湖南大学设计艺术学院，长沙410082；
subject to3.百度人工智能交互设计院，北京100193）光彩照人
摘要：目的研究以“设计”为出发点，以未来智能汽车的人机交互为对象，对相关技术、产品和设计的现状进行分析，展开趋势研究。方法基于百度-湖南大学智能设计与交互体验联合创新实验室架构，由百度人工智能交互设计院联合湖南大学设计艺术学院、汽车车身先进设计制造国家重点实验室，开展智能汽车人机交互设计趋势的相关研究。研究采用桌面研究结合专家访谈和创新工作坊的方式，得到基础数据；通过聚类归纳和案例分析的方式，进行数据分析。结果结合学术界和产业界的经验，探讨智能汽车人机交互设计的未来趋势，形成该领域的设计洞察，获得关于智能汽车人机交互设计的九大趋势。
魁北克大学dininghall
结论九大趋势分别为从运载工具到交通系统、连接与分离、共享服务、无处不在的显示、接管与移交、实体媒介交互、个性化、多通道融合交互和智能情感交互。九大趋势将对未来智能汽车人机交互设计趋势的研究带来启发，支持未来智能汽车的设计、研究与开发。
关键词：智能汽车；人机交互；趋势
中图分类号：TB472 文献标识码：A 文章编号：1001-3563(2019)20-0032-11
DOI：10.19554/jki.1001-3563.2019.20.005
际高Development Trend of Human-Computer Interaction in Intelligent Vehicles同事用英语怎么说
TAN Hao1, SUN Jia-hao2, GUAN Dai-song3, ZHOU Mo-li3, QI Jian-ping3, ZHAO Ying2
(1.State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082, China;
2.School of Design, Hunan University, Changsha 410082, China;
3.Baidu AI Interaction Design Lab, Beijing 100193, China)
ABSTRACT: This study aims to analyze the current status of related technologies, products and designs, and conduct trend rearch with "design" as the starting point and future intelligent vehicle human-computer interaction as the target.
学校开放日
Baidu AI Interaction Design Lab, School of Design and Art and State Key Laboratory of Advanced Design and Manufacture for Vehicle Body of Hunan University carried out rearch on the trend of intelligent vehicle human-computer interaction design bad on the structure of Baidu-Hunan University’s intelligent design and interactive experience joint innovation laboratory. The study combined desktop rearch with expert interviews and innovative workshops to obtain basic data and cluster analysis. We explored the trend of intelligent vehicle human-computer interaction design insights by combining the experience of academic circles and industry circle. This paper obtained nine trends about human-computer interaction design in intelligent vehicles. The nine trends are: from vehicle to transporta-tion system, connection and paration, sharing rvices, display everywhere, take-over and hand-over, tangible media, personalization, multi-nsory fusion interaction, and intelligent emotion interaction. The nine trends will inspire the rearch of intelligent vehicle human-computer interaction design and support the design, rearch and development of intelligent vehicles in the future.
KEY WORDS: intelligent vehicle; human-computer interaction; trend
收稿日期：2019-08-09
基金项目：百度人工智能交互设计院《智能汽车人机交互设计趋势研究》项目；湖南省研究生科研创新项目（CX2016B111）作者简介：谭浩（1977—），男，四川人，博士，湖南大学设计艺术学院教授，主要从事汽车人机交互设计与智能设计方面的研究。
