Evidence map›Paper›PMID 34300017›Full record

ReviewInternational journal of environmental research and public health2021

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, Fei Hu

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Global Research Trends on Smart Homes for Older Adults: Bibliometric and Scientometric Analyses.International journal of environmental research and public health · 2022
    Article
  4. [Research advances in non-invasive brain-computer interface control strategies].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
  5. Designing Robots for Elderly from the Perspective of Potential End-Users: A Sociological Approach.International journal of environmental research and public health · 2022
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaochen ZhangDepartment of Industrial Design, Guangdong University of Technology, Guangzhou 510090, China.ORCID 0000-0002-3247-6236
Lanxin HuiDepartment of Industrial Design, Guangdong University of Technology, Guangzhou 510090, China.
Linchao WeiDepartment of Industrial Design, Guangdong University of Technology, Guangzhou 510090, China.
Fuchuan SongF11X Silicon Photonics Process Development, Intel Corporation, Albuquerque, NM 87124, USA.
Fei HuDepartment of Industrial Design, Guangdong University of Technology, Guangzhou 510090, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Persons with DisabilitiesWheelchairsAgedBibliometricsElectricityEquipment DesignHumansbibliometric analysisemerging trendsEPW drivingHMI methodologyresearch status

Identifiers

PMID34300017
PMCPMC8304937

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.