Development of an Eye Response-Based Mental Workload Evaluation Method

Author:

Tran Cong Chi1ORCID,Yan Shengyuan2ORCID

Affiliation:

1. Vietnam National University of Forestry, Vietnam

2. Harbin Engineering University, China

Abstract

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.

Publisher

IGI Global

Subject

Human-Computer Interaction,Information Systems

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