Soft computing applications in the field of human factors and ergonomics: A review of the past decade of research

The main objectives of this study were to 1) review the literature on the applications of soft computing concepts to the field of human factors and ergonomics (HFE) between 2013 and 2022 and 2) highlight future de-velopments and trends. Multiple soft computing methods and techniques have been investigated for their ability to address various applications in HFE effectively. These techniques include fuzzy logic, artificial neural net-works, genetic algorithms, and their combinations. Applications of these methods in HFE have been highlighted in one hundred and four articles selected from 406 papers. The results of this study help address the challenges of complexity, vagueness, and imprecision in human factors and ergonomics research through the application of soft computing methodologies.

Automated summary

The main objectives of this study were to review the literature on the applications of soft computing concepts to the field of human factors and ergonomics (HFE) between 2013 and 2022 and highlight future developments and trends. Multiple soft computing methods and techniques, including fuzzy logic, artificial neural networks, genetic algorithms, and their combinations, have been investigated for effective application in HFE. A total of 104 articles were selected from 406 papers to showcase the applications of these methods in HFE. The results of this study contribute to addressing the challenges of complexity, vagueness, and imprecision in human factors and ergonomics research through the use of soft computing methodologies.