ACT-R

Publications about User Modeling

Anderson, J. R. & Qin, Y. (2008). Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band. Journal of Cognitive Neuroscience, 20 (9) , 1624-1636. [DOC][Model] [info]

Best, B.J., Furjanic, C., Gerhart, N., Fincham, J. M., Gluck, K. A., Gunzelmann, G., Krusmark, M., (2009). Adaptive Mesh Refinement for Efficient Exploration of Cognitive Architectures and Cognitive Models. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 252), Manchester, United Kingdom. [PDF] [info]

Best, B. J. & Lovett, M. (2006). Inducing a cognitive model from examples provided by an optimal algorithm. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 56-61). Trieste, Italy. [PDF] [info]

Brunstein, A. (2006). Constructing racing cars: Reducing problem complexity for the fastest car ever seen. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2452 ) . Vancouver, British Columbia, Canada. [PDF] [info]

Cassenti, D.N. (2007). ACT-R model of EEG latency. Proceedings of the Human Factors and Ergonomics Society 51st Annual Meeting (pp. 812-816). Santa Monica, CA: Human Factors and Ergonomics Society. [PDF] [info]

Corbett, A.T., Anderson, J. R., & O'Brien, A.T. (1995). Student modeling in the ACT Programming Tutor. In P. Nichols, S. Chipman and B. Brennan (eds.) Cognitively Diagnostic Assessment. (19-41). Hillsdale, NJ: Erlbaum. [PDF] [info]

Das, A., & Stuerzlinger, W. (2007). A Cognitive Simulation Model for Novice Text Entry on Cell Phone Keypads. In Proceedings of the European Conference on Cognitive Ergonomics: ECCE 2007 (pp. 141-147). London, UK. [PDF] [info]

Fu, W.-T., Bothell, D., Douglass, S., Haimson, C., Sohn, M.-H., & Anderson, J. A. (2006), Toward a Real-Time Model-Based Training System. Interacting with Computers, 18(6), 1216-1230. [PDF] [PDF] [info]

Heinath, M. (2009). High-level ACT-R modeling based on SGT task models. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 171), Manchester, United Kingdom. [PDF] [info]

Heinath, M., Dzaack, J., Wiesner, A. & Urbas, L. (2007). Simplifying the Development and the Analysis of Cognitive Models. In proceedings of EuroCogSci07. Delphi, Greece. [PDF] [info]

Heinath, M. & Urbas, L. (2007). Simplifying the Development of Cognitive Models using Pattern-based Modeling. In proceedings of the 10th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems. Seoul, Korea. [PDF] [info]

Jones, G., & Ritter, F. E. (2000). Over-estimating cognition time: The benefits of using a task simulation. In Simulating Human Agents, American Association for Artificial Intelligence Fall 2000 Symposium Series (pp. 67-74). Menlo Park, CA: AAAI Press. [info]

Juvina, I. & Taatgen, N.A. (2007). Modeling Control Strategies in the N-Back Task. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [PDF] [info]

Kim, J. W., Ritter, F. E., & Koubek, R. J. (2006). ESEGMAN: A substrate for ACT-R architecture and an Emacs LISP application. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 375-376). Trieste, Italy. [PDF] [info]

Lyon, D. R. & Gunzelmann, G. (2009). Visualizing egocentric path descriptions: A computational model. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 102), Manchester, United Kingdom. [PDF] [info]

Marewski, J. N. & Olsson, H. (2009). Beyond the Nul Ritual: Formal modeling of pscyhological processes. Zeitschrift für Psychologie / Journal of Psychology, 217(1), 49–60. [info]

Najjar, M. & Mayers, A. (2006). Retrieving remembrances via a computational cognitive model of knowledge represenation. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1868-1869) . Vancouver, British Columbia, Canada. [PDF] [info]

Paik, J., Kim, J. W., & Ritter, F. E. (2009). A preliminary ACT-R Compiler in Herbal. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 117), Manchester, United Kingdom. [PDF] [info]

Peebles, D. J. & Cox, A. L. (2006). Modelling Interactive Behaviour with a Rational Cognitive Architecture. In P. Zaphiris & S. Kurniawan (Eds.). Human Computer Interaction Research in Web Design and Evaluation. London. Idea Group Inc. [PDF] [info]

Ritter, F. E., Haynes, S. R., Cohen, M., Howes, A., John, B., Best, B. J., Lebiere, C., Jones, R. M., Crossman, J., Lewis, R. L., St. Amant, R., McBride, S. P., Urbas, L., Leuchter, S., & Vera, A. (2006). High-level behavior represenation languages revisited. Symposium at Trieste:Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 404-407). Trieste, Italy. [PDF] [info]

Ritter, F. E., Kukreja, U., & St. Amant, R. (2007). Including a model of visual processing with a cognitive architecture to model a simple teleoperation task. Journal of Cognitive Engineering and Decision Making, 1(2), 121-147. [PDF] [info]

Ritter, F. E., van Rooy, D., St. Amant, R., & Simpson, K. (2006). Providing user models direct access to interfaces: An exploratory study of a simple interface with implications for HRI and HCI. IEEE Transactions on Systems, Man, and Cybernetics: Part A, Systems and Humans, 36(3), 592-601. [PDF] [info]

Ritter, F. E., & Young, R. M. (2001). Embodied models as simulated users: Introduction to this special issue on using cognitive models to improve interface design. International Journal of Human-Computer Studies, 55, 1-14. [PDF] [info]

Salvucci, D.D., & Lee, F. J. (2003). Simple cognitive modeling in a complex cognitive architecture. In Human Factors in Computing Systems: CHI 2003 Conference Proceedings (pp. 265-272). New York: ACM Press. [HTML] [info]

Schoelles, M. J., Neth, H., Myers, C. W., & Gray, W. D. (2006). Steps towards integrated models of cognitive systems: A levels-of-analysis approach to comparing human performance to model predictions in a complex task environment. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 756-761 ) . Vancouver, British Columbia, Canada. [PDF] [info]

Serna, A., Pigot, H., & Rialle, V. (2007). Modeling the progression of Alzheimer's disease for cognitive assistance in smart homes. User Modeling and User-Adapted Interaction, 17, 415-438. [PDF] [info]

St. Amant, R., Freed, A. R., & Ritter, F. E. (2005). Specifying ACT-R models of user interaction with a GOMS language. Cognitive Systems Research, 6, 71-88. [PDF] [info]

St. Amant, R., Horton, T. E., & Ritter, F. E. (2007). Model-based evaluation of expert cell phone menu interaction. ACM Transactions on Computer-Human Interaction, 14(1), Article 1 (May 2007), 24 pages. [PDF] [info]

St. Amant, R., McBride, S. P., Ritter, F. E. (2007). AI support for building cognitive models. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06) (pp. 1663-1666). Menlo Park, CA: AAAI Press. [PDF] [info]

St. Amant, R., Riedl, M. O., Ritter, F. E., & Reifers, A. (2005). Image processing in cognitive models with SegMan. In Proceedings of HCI International, 2005. (Invited.) Volume 4 - Theories Models and Processes in HCI. Paper # 1869. [PDF] [info]

St. Amant, R. & Ritter, F. E. (2004). Automated GOMS-to-ACT-R model generation. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 26-31). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [PDF] [info]

Stewart, T. C. (2006). Tools and techniques for quantitaive and predictive cognitive science. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 816-821 ) . Vancouver, British Columbia, Canada. [PDF] [info]

Van Maanen, L. (2007). Mediating expert knowledge and visitor interest in art work recommendation. In proceedings of LWA 2007, Halle (Saale), Germany. [PDF] [info]

Van Maanen, L., Borst, J. P., Janssen, C. P., & Van Rijn, H. (2006). Memory structures as user models, In proceedings of the 13th Annual ACT-R Workshop. Pittsburgh, PA. [PDF] [info]

van Rijn, D. H., van Maanen, L., & van Woudenberg, M. (2009).Passing the test: Improving learning gains by balancing spacing and testing effects. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 200), Manchester, United Kingdom. [PDF] [info]

West, R.L, Emond B. (2002). SOS: A simple operating system for modeling HCI with ACT-R. Seventh Annual ACT-R Workshop. Pittsburgh, PA : Department of Psychology, Carnegie Mellon University, 2 p. [PDF] [info]

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