Selected Papers Presented at MODSIM World 2009 Conference and Expo
MODSIM World 2009 Conference and Expo, October 14-16, 2009, Virginia Beach, Virginia
An accurate real-time operator functional state assessment makes it possible to perform task management, minimize risks, and improve mission performance. In this paper, we discuss the development of an individualized operator functional state assessment model that identifies states likely leading to operational errors. To address large individual variations, we use two different approaches to build a model for each individual using its data as well as data from subjects with similar responses. If a subject's response is similar to that of the individual of interest in a specific functional state, all the training data from this subject will be used to build the individual model. The individualization methods have been successfully verified and validated with a driving test data set provided by the University of Iowa. With the individualized models, the mean squared error can be significantly decreased (by around 20%).
"Distribution/Availability Statement: Unclassified/Unlimited."
Original Publication Citation
Zhang, G., Xu, R., Wang, W., Li, J., Schnell, T., & Keller, M. (2010) Individualized cognitive modeling for close-loop task mitigation. In T.E. Pinelli (Ed.), Selected papers presented at MODSIM World 2009 Conference and Expo (pp. 223-228). NASA Center for AeroSpace Information.
Zhang, Guangfan; Xu, Roger; Wang, Wei; Li, Jiang; Schnell, Tom; Keller, Mike; and Pinelli, Thomas E. (Ed.), "Individualized Cognitive Modeling for Close-Loop Task Mitigation" (2010). Electrical & Computer Engineering Faculty Publications. 369.