In this paper, a methodology with ACT-R cognitive architecture is proposed to quantitatively predict task-related properties that influence mental workload. A mathematical representation of task-related properties over time with respect to an activated time of each module from ACT-R is proposed in this paper. Experiments were performed on menu selection and visual-manual tasks, varied by task difficulty and time pressure. As a result, it was found that predicted values of each task-related property, consisting of physical demand, mental demand, and temporal demand of NASA-TLX achieved by the proposed method, were highly correlated with mean values of subjective rating from subjects.
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