Development of an Eye Response-Based Mental Workload Evaluation Method

Autor: Cong Chi Tran, Shengyuan Yan
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Technology and Human Interaction. 18:1-22
ISSN: 1548-3916
1548-3908
DOI: 10.4018/ijthi.299071
Popis: This study proposed an eye responses-based mental workload (E-MWL) evaluation method in nuclear power plants (NPPs) when performing the task via a user interface control. The fuzzy theory was used to combine four eye response indices using the entropy weight method. Then, the E-MWL method was validated through experiments by comparison with the NASA-TLX rating and performance measures indices in two different tasks of the State Oriented Procedure (SOP) in NPP. The correlation analysis results between the NASA-TLX and eye response indices showed that four eye response indices used in this study were correlated significantly with the NASA-TLX, indicating that these indices may develop the E-MWL method. The E-MWL score results indicated that it is highly correlated with NASA-TLX and performance measures indices in two different tasks of SOP in NPP. This has proved that E-MWL is an objective method suitable for evaluating and predicting human mental workload (MWL) for interface control task in NPPs.
Databáze: OpenAIRE