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

Xiaochen Zhang, Lanxin Hui, Linchao Wei, Fuchuan Song and Fei Hu
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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

IJERPH, 2021, vol. 18, issue 14, 1-21

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.

Keywords: EPW driving; HMI methodology; bibliometric analysis; research status; emerging trends (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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