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A Study of Bibliometric Trends in Automotive Human–Machine Interfaces

Author

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  • Xu Zhang

    (School of Arts, Tianjin University of Technology, Tianjin 300384, China
    Graduate School of Design, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan)

  • Xi-Peng Liao

    (School of Arts, Tianjin University of Technology, Tianjin 300384, China)

  • Jui-Che Tu

    (Graduate School of Design, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan)

Abstract

With the development of autonomous driving technology and the internet, automotive human–machine interface (HMI) technology has become an important part of contemporary automotive design. Currently, global automakers are designing a variety of innovative in-car HMIs that illustrate the direction of automotive design in the new era from the perspective of technological aesthetics and experience design. However, sleek designs and innovative experience methods must be built on the basis of safety. Therefore, it is necessary to summarize existing research in the field of automotive HMI and construct a literature review of automotive design research. In this paper, literature on automotive HMI from the Scopus database was analyzed using bibliometric methods such as descriptive analysis, keyword co-occurrence, and literature co-citation network analysis. The final mapping analysis revealed that the current automotive HMI research literature primarily focuses on user research, interface research, external environment research, and technology implementation research related to automotive HMI. The three main stages of automotive HMI research include conceptual construction, system and technology refinement, and user perception research from the perspective of driver assistance and information recognition. Additionally, burst detection suggests that future research should focus on driver assistance, trust levels, and e-HMI information communication.

Suggested Citation

  • Xu Zhang & Xi-Peng Liao & Jui-Che Tu, 2022. "A Study of Bibliometric Trends in Automotive Human–Machine Interfaces," Sustainability, MDPI, vol. 14(15), pages 1-27, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9262-:d:874462
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    References listed on IDEAS

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    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
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