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 developments 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 networks, 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. • We reviewed the literature on the applications of soft computing concepts to the field of HFE. • Multiple soft computing methods have been investigated for their ability to address various applications in HFE effectively. • One hundred and four articles selected from 406 papers. • The results of this study can help address the challenges of complexity, vagueness, and imprecision in HFE. [ABSTRACT FROM AUTHOR]