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http://dx.doi.org/10.7232/IEIF.2012.25.2.187

Prediction of Driver's Cognitive Workload using Cognitive Architecture : ACT-R  

Lim, Soo-Yong (School of Industrial Management Engineering, Korea University)
Myung, Ro-Hae (School of Industrial Management Engineering, Korea University)
Hong, Gi-Beom (Human Factors and Devices Research Team, Hyundai Motors)
Publication Information
IE interfaces / v.25, no.2, 2012 , pp. 187-195 More about this Journal
Abstract
The driver model based on the ACT-R cognitive architecture was developed in order to predict the performance and cognitive workload of a driver operating HVI devices. In the 10 HVI tasks, the predicted performance time and cognitive workload by the ACT-R driver model was well matched and highly correlated with the mean of performance times and subjective workload ratings from 15 participants, respectively. It is strongly proposed that the ACT-R driver model in this study can be applied to evaluate the usability of a new HVI design with less cost in the early stage of system development.
Keywords
ACT-R; cognitive architecture; driver's workload; model-based evaluation;
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Times Cited By KSCI : 1  (Citation Analysis)
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