Abstract: As intelligent connectivity,human-machine interaction and autonomous driving technologies continue to evolve,the development of automotive intelligence was redefining the driving experience and reshaping the future of transportation.Against this backdrop,multi-modal interaction had become an important innovation in the intelligent vehicle industry with new topics and opportunities continually emerging in this field.To delve into the current state of research in this area,the relevant literatures on automotive multimodal interaction from Web of Science core data set's science citation index and the Scopus database were examined.By utilizing the CiteSpace bibliometric tool for graphical visualization analysis,the development and current state of this field were reviewed systematically,the research hotspots and directions were explored,and the future research was predicted.

Key words: intelligent connected vehicle, multi-modal interaction, bibliometrics, visual analysis

摘要： 随着智能网联、人机交互和自动驾驶技术的不断演进,汽车智能化的发展正在重新定义驾驶体验,并重新塑造了未来出行方式。在此背景下,多模态交互已经成为智能汽车行业重要创新手段,该领域的研究也不断涌现新的课题和机遇。鉴于此,深入探讨了该领域的研究现状,将Web of Science核心数据集的科学引文索引和Scopus数据库中汽车多模态交互的相关文献作为研究对象,利用CiteSpace文献计量工具对其进行图谱可视化分析,对该领域的发展历程和现状进行脉络梳理,探析研究热点及方向,并对未来研究趋势进行预测。

关键词: 智能网联汽车, 多模态交互, 文献计量, 可视化分析