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Publications about Time PerceptionCassenti, D. N. & Reifers, A. L. (2005) Counting ACT-R to Represent Time. In proceedings of Human Factors and Ergonomics Society Conference. [ Drewitz, U. & Thüring, M. (2009). Modeling the cofidence of predictions: A time based approach. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 222), Manchester, United Kingdom. [ Dzaack, J., Troesterer, S., Pape, N., & Urbas, L. (2006). A computational model of retrospective time estimation. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 100-104). Trieste, Italy. [ Pape, N., Dzaack, J., Leuchter,S. & Urbas, L. (2005). How to integrate time-duration estimation in ACT-R/PM. In Proceedings of the 12th Annual ACT-R Workshop, Trieste, Italy. [ Taatgen, N., Anderson, J. R., Dickison, D., & van Rijn, H. (2005) Time Interval Estimation: Internal Clock or Attentional Mechanism? In B. Bara, L. Barsalou & M. Bucciarelli (Eds.),
Proceedings of the 27th Annual Conference of the Cognitive Science Society.
Mahwah, NJ: Lawrence Erlbaum Associates. [ Taatgen, N., van Rijn, H., & Anderson, J. R. (2004). Time perception: Beyond simple interval estimation. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 296-301). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [ Taatgen, N., Van Rijn, H., Anderson, J. R. (2007). An integrated theory of prospective time interval estimation: The role of cognition, attention, and learning. Psychological Review, 114(3), 577-598. [ van Rijn, H. & Taatgen, N. A. (2007). A model of parallel time estimation. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [ |
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