Abstract：
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.
摘要：
这项研究的主要目标是1）回顾2013年至2022年之间软计算概念在人为因素和人体工程学（HFE）领域的应用文献2）强调未来的发展和趋势。已经研究了多种软计算方法和技术，因为它们能够有效地解决HFE中的各种应用。这些技术包括模糊逻辑，人工神经网络,遗传算法，和他们的组合。这些方法在HFE中的应用已在406篇论文中选出的104篇文章中得到了强调。这项研究的结果有助于解决复杂性的挑战，模糊，以及通过应用软计算方法进行人为因素和人体工程学研究的不精确性。
