In multiple investigations of human performance on natural tasks in three-dimensional (3D) environments, we have found that a sense of space is necessary for accurate modeling of human perception and motor planning. In previous work, we developed ACT-R/DHM, a modification of the ACT-R cognitive architecture with specific extensions for integration with 3D environments. ACT-R/DHM could leverage existing extensions from the ACT-R community that implement the spatial sense, but current research seems to indicate that an "egocentric-first" approach is most appropriate. We describe the implementation of a custom spatial module in ACT-R/DHM, which allows for the consideration of spatial locations by adding a single ACT-R module that performs a very small set of operations on existing location information. We demonstrate the use of the 3D, egocentric-first spatial module to simulate a machine interaction task. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Robbins, B., Carruth, D., & Morais, A. (2009). Bridging the gap between HCI and DHM: The modeling of spatial awareness within a cognitive architecture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5620 LNCS, pp. 295–304). https://doi.org/10.1007/978-3-642-02809-0_32
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