Scaling up from Micro Cognition to Macro Cognition: Using SGOMS to build Macro Cognitive Models of Sociotechnical Work in ACT-R

Abstract

SGOMS is a way of scaling up GOMS models to model multi agent work in complex sociotechnical systems. In particular, it allows GOMS to handle interruptions, multi-tasking, and re-planning. West and Pronovost (2009) discussed some of the theoretical issues around building an SGOMS model in ACT-R. This paper presents work in progress for two such models. Specifically, we used ACT-R to create a model of a worker in a sandwich shop and a model of a commercial airline pilot. Problems with scaling ACT-R up to the macro cognitive level are discussed and solutions are presented.


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