Investigating Human Factors and Ergonomics research: a 4S framework

  • Yuchu CHEN
  • , Xupu CHEN
  • , Shanguang CHEN*
  • , Jie XU*
  • , Peng LIU*
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Human Factors and Ergonomics (HFE) originated in special domains such as military. However, it is unclear whether current HFE continues to address these domains. Here we examined trends in HFE research on special domains from 2011 to 2023, using a 4S framework (special environments, machines, tasks, humans). Less than one-third of articles in Ergonomics and Human Factors targeted special domains, with healthcare, military, and aviation as the primary focuses. Nearly half of these studies were conducted in low-fidelity environments, with about 10% in real-world settings. Real machines and front-line operators were involved in 18.1% and about 50% of these studies, respectively, and skill-based tasks were predominant in experimental studies. Collaborative research between academia and industry accounted for one-third of these studies. Human Factors had a higher proportion of these studies, with 54.8% of first authors from the USA, compared to 23.3% in Ergonomics. Concerns regarding HFE research in special domains were discussed.
Original languageEnglish
Number of pages17
JournalErgonomics
DOIs
Publication statusE-pub ahead of print - 15 Jul 2025

Bibliographical note

We would like to thank Lan Lan from Zhejiang University for her contribution to the visualizations.

Publisher Copyright:
© 2025 Informa UK Limited, trading as Taylor & Francis Group.

Funding

This work is supported by the Major Program of the National Natural Science Foundation of China (Grant numbers T2192933, T2192932, and T2192931).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 4S framework
  • content analysis
  • human factors and ergonomics
  • trend analysis

Cite this