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Real-time generation of representations for cognitive models

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Abstract

Computerized models of human cognition and behavior have been used to help researchers refine their theories of cognitive processes. Two difficulties inherent in using these cognitive models are that building representations of to-be-modeled groups or individuals is (1) time-consuming and (2) prone to error when performed manually. The use of computerized tools to build representations for cognitive models could alleviate these problems. Such a set of tools has been developed and applied to the task of modeling individual aviation pilots performing flight maneuvers in real time. A study conducted with 27 pilots confirms the accuracy of the computer-generated representations.

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References

  • Anderson, J. R., Bothell, D., Byrne, M., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological Review, 111, 1036–1060.

    Article  PubMed  Google Scholar 

  • Byrne, M. D. (2003). Cognitive architecture. In J. Jacko & A. Sears (Eds.), The human-computer interaction handbook: Fundamentals, evolving technologies, and emerging applications (pp. 95–114). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Doane, S. M., & Sohn, Y. W. (2000). ADAPT: A predictive cognitive model of user visual attention and action planning. User Modeling & User Adapted Interaction, 10, 1–45.

    Article  Google Scholar 

  • Durso, F. T., & Gronlund, S. D. (1999). Situation awareness. In F. T. Durso, R. Nickerson, R. Schvaneveldt, S. Dumais, S. Lindsay, & M. Chi (Eds.), The handbook of applied cognition (pp. 283–314). New York: Wiley.

    Google Scholar 

  • Gray, W. D. (2007). Integrated models of cognitive systems. New York: Oxford University Press.

    Book  Google Scholar 

  • Jodlowski, M. T., Carruth, D. W., Lowe, D., & Doane, S. M. (2003, May). Knowledge scoring engine (KSE) for real-time knowledge base generation. In Proceedings of the 12th Conference on Behavior Representation in Modeling and Simulation (pp. 435–437). Scottsdale, AZ.

  • Kintsch, W. (1988). The use of knowledge in discourse processing: A construction-integration model. Psychological Review, 95, 163–182.

    Article  PubMed  Google Scholar 

  • Kintsch, W. (1998). Comprehension: A paradigm for cognition. New York: Cambridge University Press.

    Google Scholar 

  • Mannes, S. M., & Kintsch, W. (1991). Routine computing tasks: Planning as understanding. Cognitive Science, 15, 305–342.

    Article  Google Scholar 

  • Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Rosenbloom, P. S., Laird, J. E., Newell, A., & McCarl, R. (2002). A preliminary analysis of the SOAR architecture as a basis for general intelligence. Artificial Intelligence, 47, 289–325.

    Article  Google Scholar 

  • Sohn, Y. W., & Doane, S. M. (2002). Evaluating comprehension-based user models: Predicting individual user planning and action. User Modeling & User Adapted Interaction, 12, 171–205.

    Article  Google Scholar 

  • Sohn, Y. W., & Doane, S. M. (2003). Roles of working memory capacity and long-term working memory skill in complex task performance. Memory & Cognition, 31, 458–466.

    Article  Google Scholar 

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Correspondence to Stephanie M. Doane.

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Brou, R.J., Doane, S.M. & Bradshaw, G.L. Real-time generation of representations for cognitive models. Behavior Research Methods 41, 633–638 (2009). https://doi.org/10.3758/BRM.41.3.633

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  • DOI: https://doi.org/10.3758/BRM.41.3.633

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