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A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020

Author

Listed:
  • Xiaochen Zhang

    (Department of Industrial Design, Guangdong University of Technology, Guangzhou 510090, China)

  • Lanxin Hui

    (Department of Industrial Design, Guangdong University of Technology, Guangzhou 510090, China)

  • Linchao Wei

    (Department of Industrial Design, Guangdong University of Technology, Guangzhou 510090, China)

  • Fuchuan Song

    (F11X Silicon Photonics Process Development, Intel Corporation, Albuquerque, NM 87124, USA)

  • Fei Hu

    (Department of Industrial Design, Guangdong University of Technology, Guangzhou 510090, China)

Abstract

Electric power wheelchairs (EPWs) enhance the mobility capability of the elderly and the disabled, while the human-machine interaction (HMI) determines how well the human intention will be precisely delivered and how human-machine system cooperation will be efficiently conducted. A bibliometric quantitative analysis of 1154 publications related to this research field, published between 1998 and 2020, was conducted. We identified the development status, contributors, hot topics, and potential future research directions of this field. We believe that the combination of intelligence and humanization of an EPW HMI system based on human-machine collaboration is an emerging trend in EPW HMI methodology research. Particular attention should be paid to evaluating the applicability and benefits of the EPW HMI methodology for the users, as well as how much it contributes to society. This study offers researchers a comprehensive understanding of EPW HMI studies in the past 22 years and latest trends from the evolutionary footprints and forward-thinking insights regarding future research.

Suggested Citation

  • Xiaochen Zhang & Lanxin Hui & Linchao Wei & Fuchuan Song & Fei Hu, 2021. "A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020," IJERPH, MDPI, vol. 18(14), pages 1-21, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7567-:d:595347
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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.
    2. Ping Zhang & Robert I. Benjamin, 2007. "Understanding information related fields: A conceptual framework," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 1934-1947, November.
    3. Fahimnia, Behnam & Sarkis, Joseph & Davarzani, Hoda, 2015. "Green supply chain management: A review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 162(C), pages 101-114.
    4. Thed van Leeuwen, 2006. "The application of bibliometric analyses in the evaluation of social science research. Who benefits from it, and why it is still feasible," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 133-154, January.
    5. Rongzhen Ma & Yuh-Shan Ho, 2016. "Comparison of environmental laws publications in Science Citation Index Expanded and Social Science Index: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 227-239, October.
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