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 Articles will not be published until the final proofs are validated by their authors.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 (1 paper in press)

Regular Issues

  • Assessing the performance, usability and cognitive workload of an AI-based navigation assistant: a quantitative study with people with visual impairments   Order a copy of this article
    by Bineeth Kuriakose, Raju Shrestha, Frode Eika Sandnes 
    Abstract: Several assistive tools and systems have been proposed to facilitate navigation for people with visual impairments. Recent advancements in artificial intelligence (AI) have also contributed to the design of navigation assistants. However, there is a lack of involvement and evaluations by the users (people with visual impairments) in most systems proposed in the literature. In addition, many studies focusing on the benefits of AI in the associated navigation assistants overlook how users perceive and respond to the technology. By involving actual users in the evaluation process, one will gain a more realistic and relevant understanding of the system’s usability and performance from the user’s viewpoint. In this paper, we present the results of an experimental evaluation of an AI-based smartphone navigation assistant for people with visual impairments that detects obstacles, identifies scenes, and alerts them during navigation to make their journey as safe as possible.
    Keywords: performance; usability; cognitive workload; quantitative study; artificial intelligence; AI; smartphone; navigation assistant; blind; visual impairments; assistive technology; user perceptions; human factors; user evaluation; user acceptance; deep learning; portable; DeepNAVI.