Forthcoming and Online First Articles

International Journal of Human Factors and Ergonomics

International Journal of Human Factors and Ergonomics (IJHFE)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Human Factors and Ergonomics (3 papers in press)

Regular Issues

  • Recurrence quantification analysis to assess structure of breast motion variability for jumping jacks exercise   Order a copy of this article
    by Joseph E. Langenderfer, Ksenia I. Ustinova 
    Abstract: Prior observations and qualitative descriptions of breast motion suggest that structure of motion variability may be important for understanding how breasts move and how support from bras alters breast and body motion. The purpose of this study was to demonstrate the feasibility of utilising recurrence quantification analysis (RQA) to measure nonlinear properties of breast, thorax and upper-arm motion variability for different breast support levels and breast sizes. Support from bras causes breast motion which is less deterministic and therefore less predictable. Motion of larger breasts is less random and more complex, but these nonlinear aspects of motion, unlike amplitude, are not as dependent on size. These findings increase understanding of the structure of breast and body motion variability and how bras influence the motions. Such information may improve bra design with the goal of allowing more effective human performance of work and exercise.
    Keywords: recurrence quantification analysis; RQA; brassiere; nonlinear; upper extremity.
    DOI: 10.1504/IJHFE.2022.10046341
     
  • The multifactorial causes of caregiver work-related disabilities: a systematic literature review
    by Abdulelah M. Ali, Mohd Mukhtar Alam 
    Abstract: The purpose of this review is to discuss multifactorial causes of caregiver work-related disability. A systematised literature search was accomplished from numerous sources viz., PubMed, MEDLINE, CINAHL, and EMBASE to identify relevant studies published from 2002 to 2020. The studies were included based on a relevance and bibliographic search rating. In this review: 1) caregiver was involved in physically demanding work leading to MSD (comprising specific and non-specific musculoskeletal pain and discomfort); 2) intervention was commenced and/or performed at workstations; 3) comparison groups were included; 4) MSD measurements were reported (musculoskeletal discomfort, symptoms, prevalence or pain). This review confirmed that caregivers were susceptible to WMSD, especially back pain and injuries. Risk factors predisposing to low back pain and injury are inadequate patient transfer skills, high physical demands, inadequate conditioning of caregivers, and obesity. Therefore, essential training in work-related accident, prevention policies and ergonomics will assist caregivers.
    Keywords: musculoskeletal disorders; MSDs; risk factors; patient handling; safety handling program; ergonomics and human factors.

  • A data-driven approach to assessing and analysing contributing factors to the severity of road accident injuries based on decision-making styles   Order a copy of this article
    by Ali Ghazizadeh, Mahdi Hamid, Zahra Mehdizadeh Somarin, Behnaz Salimi 
    Abstract: Road accidents are among the important challenges that all communities face. Fatal road accidents are closely related to the severity of the collision, which is affected by a variety of factors, including human error, road conditions and weather conditions. Individual errors are a significant cause of accidents, which are influenced by an individual’s behavioural characteristics. Behavioural factors are itself developed by an individual’s decision-making style. One of the innovative aspects of this study is the inclusion of drivers’ decision-making styles in analysing the causes of accidents with severe injuries. Additionally, this study will determine the primary factors that contribute to the severity of injury utilising principal factor analysis and correlation matrix approaches. Our results show that flexible and hierarchical decision-making styles are the dominant styles in all groups. Non-observance of safe distance, vehicle defects, and bad weather are the three foremost factors affecting the severity of injuries. Human factors with nearly 60% importance, is the most important group of features in determining injury severity. Furthermore, the features of not wearing a seat belt, using a mobile phone while driving, and not observing a safe distance have the most positive alignment with injury, respectively.
    Keywords: road accident; decision-making style; injury severity; principal component analysis; PCA; correlation matrix.
    DOI: 10.1504/IJHFE.2022.10046899