A Review on Applications of Soft Computing Techniques in Neuroergonomics During the Last Decade

Abstract

Soft computing (SC) methods play an important role in addressing the different types of problems and offering potential alternatives at the present time. Such methods have also been implemented in the context of neuroergonomics, because of the success of SC strategies, to reliably evaluate the mental workload and achieve better results than traditional approaches. Nevertheless, these applications are still limited. This paper surveys SC techniques using classification and literature review of articles for the last decade (2009–2019) to explore how various SC methodologies have been developed during this period. The purpose of this paper is to summarize the results through a systemic review of current research papers on the use of SC methodologies in neuroergonomics. Throughout the course of this study, it has been observed that SC techniques have been applied to most traditional areas of neuroergonomics research, and research in neuroergonomics has grown in recent years.