Quantitative prediction of mental workload with the ACT-R cognitive architecture

摘要: Abstract A cognitive architecture, such as ACT-R, generally does not have any built-in functions to predict mental workloads even though it can directly represent an operator's process and the performance at sub-second scale. In this paper, a methodology quantitatively workload with is proposed. mathematical representation of over time respect activated ACT-R modules was proposed in paper. Experiments were performed on memorization tasks, visual-manual menu selection tasks. result, found that predicted values achieved by method highly correlated mean NASA-TLX subjective ratings from participants. It way predicting study could be possibly applied alternative architectures similar attributes those ACT-R. addition, early design phase dynamic systems. Relevance Industry Predicting experienced system operators provide designers useful information reduce possibility human error cost training, improve safety systems, achieve operator satisfaction. The only but also one model so evaluate interfaces phase.