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

1
Department of Industrial Design, Guangdong University of Technology, Guangzhou 510090, China
2
F11X Silicon Photonics Process Development, Intel Corporation, Albuquerque, NM 87124, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Joost van Hoof and Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2021, 18(14), 7567; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18147567
Received: 23 March 2021 / Revised: 17 May 2021 / Accepted: 10 July 2021 / Published: 16 July 2021
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. View Full-Text
Keywords: EPW driving; HMI methodology; bibliometric analysis; research status; emerging trends EPW driving; HMI methodology; bibliometric analysis; research status; emerging trends
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MDPI and ACS Style

Zhang, X.; Hui, L.; Wei, L.; Song, F.; Hu, F. A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020. Int. J. Environ. Res. Public Health 2021, 18, 7567. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18147567

AMA Style

Zhang X, Hui L, Wei L, Song F, Hu F. A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020. International Journal of Environmental Research and Public Health. 2021; 18(14):7567. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18147567

Chicago/Turabian Style

Zhang, Xiaochen, Lanxin Hui, Linchao Wei, Fuchuan Song, and Fei Hu. 2021. "A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020" International Journal of Environmental Research and Public Health 18, no. 14: 7567. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18147567

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