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Trend Analysis on Experience Evaluation of Intelligent Automobile Cockpit Based on Bibliometrics

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Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (HCII 2023)

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Abstract

With the advancement of automated driving systems, intelligent automobile cockpits have received increased attention. This study comprehended the global characteristics of international research on intelligent automobile cockpit experience evaluation and investigated new future development trends based on current research hotspots. Based on the relevant literature collected by Web of Science and bibliometrics, the publication trends, high-frequency keywords, high-frequency authors, high-frequency areas, organizations, main publications, and highly cited papers were sorted out and analyzed visually. The findings show that in the field of intelligent automobile cockpit experience evaluation research, Germany is the first in the number of publications, followed by the United States, and China ranks fourth. The top three productive authors are Burnett G, Bengler K, and Krems JF; the top three important research institutions are Technical University of Munich, BMW AG and VOLVO; the main research hotspots are HMI, human factors engineering, design and trust. This paper visualizes and analyzes the current research status, development trend, and research hotspots in the field of intelligent automobile cockpit experience evaluation research, which has corresponding guidance significance for relevant researchers.

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Acknowledgments

This work was supported by the Key Research and Development Project of Hubei Province (2022BAA071).

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Correspondence to Lei Wu .

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Wu, L., Sheng, Q. (2023). Trend Analysis on Experience Evaluation of Intelligent Automobile Cockpit Based on Bibliometrics. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. HCII 2023. Lecture Notes in Computer Science, vol 14029. Springer, Cham. https://doi.org/10.1007/978-3-031-35748-0_39

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  • DOI: https://doi.org/10.1007/978-3-031-35748-0_39

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