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.
Disclosure of potential conflict on interest
The authors declared that we have no conflicts of interest to this work. We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted.
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Hao Tan
Hao Tan is a professor of the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body in China. He received his Ph.D. from Hunan University in China. His research interests include human-computer interaction, human factors, and experience design.
Jiahao Sun
Jiahao Sun is a Ph.D. candidate of design in the School of Design in Hunan University. His research interests include interaction design and automated driving.
Wang Wenjia
Wang Wenjia is an undergraduate of design in the School of Design in Hunan University. Her research interests include interaction design and user experience.
Chunpeng Zhu
Chunpeng Zhu is a graduate student of design in the School of Design in Hunan University. His research interests include ergonomics and automated driving.