Predicting Task-related Properties of Mental Workload with ACT-R Cognitive Architecture

作者: Sungjin Park , Rohae Myung

DOI: 10.1177/1541931213571169

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摘要: 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 over time respect an activated each module from in paper. Experiments were performed on menu selection and visual-manual tasks, varied by task difficulty pressure. As result, it was found predicted values property, consisting physical demand, temporal demand NASA-TLX achieved the method, highly correlated mean subjective rating subjects.

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