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User Experience & Usability of Driving: A Bibliometric Analysis of 2000-2019
International Journal of Human-Computer Interaction ( IF 4.7 ) Pub Date : 2021-01-08
Hao Tan, Jiahao Sun, Wang Wenjia, Chunpeng Zhu

ABSTRACT

Driving is the most complex human-computer interaction for many individuals. The user experience (UX) and usability of driving are key issues in determining driving safety and user acceptance. Therefore several studies on both issues have been performed toward formulating beneficial driver-vehicle interactions and for future intelligent vehicles and autonomous environments. To provide an insight into these studies, this present study conducts bibliometric analyses to obtain information about when and where the research was conducted by whom and how mainstream content has evolved over the years. BibExcel and CiteSpace were utilized for the performance and co-word network analyses. A total of 2498 documents from 2000– 2019 in the field were filtered from the “Core Set” of Web of Science (WoS) for quantitative analysis. This study offers researchers a comprehensive understanding of UX and usability of driving studies in the last decades and research directions for the future.



中文翻译:

用户体验和驾驶可用性:2000-2019年的文献计量分析

摘要

对于许多人来说,驾驶是最复杂的人机交互。用户体验(UX)和驾驶可用性是确定驾驶安全性和用户接受度的关键问题。因此,已经针对这两个问题进行了几项研究,以制定有益的驾驶员与车辆的交互关系,并针对未来的智能车和自动驾驶环境进行了研究。为了提供对这些研究的见解,本研究进行了文献计量分析,以获取有关由谁进行研究的时间和地点以及多年来进行的主流内容演变的信息。BibExcel和CiteSpace被用于性能和共词网络分析。从Web of Science(WoS)的“核心集”中筛选了2000-2019年该领域总共2498份文档,以进行定量分析。

更新日期:2021-01-08
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