Abstract
This paper aims to analyze 424 papers obtained by using “automotive user interfaces” as the keywords in the Web of Science database and discusses the core themes and cooperation in the research field of automotive user interfaces to understand the development and future trend of automotive user interfaces research. Employing bibliometrics and social network analysis, the study analyzed keywords, core themes, co-word networks, author’s influence and collaborations patterns. The results identified “user interface”, “Human-machine interfaces”, “user-centred design”, “sensors” and “usability” are the key research domains in automotive user interfaces research. From the social network analysis, we found that the overall density of the whole network is very low and academic cooperation among developed countries seems be closer in the field of automotive user interface research.
This research has revealed some important findings that identify the theme and key research areas, and reveals the current status of automotive user interfaces research in a quantitative way.
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Lu, C., Tan, H. (2020). Focus on Automotive User Interfaces Research: A Bibliometric Analysis and Social Network Analysis During 1994–2019. In: Rau, PL. (eds) Cross-Cultural Design. User Experience of Products, Services, and Intelligent Environments. HCII 2020. Lecture Notes in Computer Science(), vol 12192. Springer, Cham. https://doi.org/10.1007/978-3-030-49788-0_48
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DOI: https://doi.org/10.1007/978-3-030-49788-0_48
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