Forthcoming and Online First Articles

International Journal of Human Factors Modelling and Simulation

International Journal of Human Factors Modelling and Simulation (IJHFMS)

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 Articles will not be published until the final proofs are validated by their authors.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 Modelling and Simulation (2 papers in press)

Regular Issues

  • Design and development of a game-engine based simulator specialized on ships evacuation   Order a copy of this article
    by George Kougioumtzoglou, Anastasios Theodoropoulos, Georgios Lepouras 
    Abstract: Modern ships have become larger in scale and function, and their complexity has increased considerably. This brings up many difficulties in evacuation and rescue when an emergency occurs. Therefore, effective evacuation and risk methods should be predicted and applied to design, safety training, and education. We have developed a Three-Dimensional Ship Evacuation Simulator (SES) facilitating the impersonation of evacuees by computer-controlled autonomous bots (agents) that perform risk assessment and continuously calculate route conditions, communicate with neighboring occupants, determine bottleneck points, and select the best evacuation routes. In this study, we introduce the simultaneous participation of human users and computer-controlled bots as evacuees in gamified multiplayer scenarios by the runtime spawning of 3D elements such as fire and smoke. SES is a game-engine based simulator with several benefits such as flexible technology and economic feasibility. We believe that realistic and valid results can be obtained by applying SES in evacuation simulation.
    Keywords: Lightweight Simulator; Passenger Ship; Evacuation Simulation; Evacuation Model; Crowd Simulation; Human-Computer Interaction; Virtual Engineering; Intelligent agent.

  • Estimation of body surface area coverage by garment items: different approaches using mesh base modelling   Order a copy of this article
    by Gunther Paul 
    Abstract: Digital Human Modelling can be applied to determine skin exposure to sun as a factor in modelling risk of skin cancer. To determine body area covered by clothing (BSAC), a variety of garment data must be overlaid with the human model. Two approaches, one based on creation of clothing using MakeHuman add-ons in Blender, and the other based on the import of data are exemplified. Results are compared with data from Zhang [6]. We found that a scalable library of garment elements, assembled to typical apparel is a feasible way to model clothing. We conclude that valid BSAC could be determined.
    Keywords: Digital Human Modelling; DHM; Body surface area coverage by clothing; BSAC; skin cancer; MakeHuman.