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Repository Details
SANLab-CM is a tool for cognitive modelers to rapidly create CPM-GOMS models in order to predict how humans interact with external systems as well as construct models of existing human data as a measure of validity checking. SANLab-CM differs from existing CPM-GOMS modeling tools by incorporating variability as part of its core paradigm. Adding variability introduces new challanges and opportunities, as varying operator execution times can cause the critical path to task completion to fluctuate widely. To better study these critical paths, SANLab-CM offers a set of tools designed to visualize and compare critical paths and how they differ within and between models.
