Understanding Micro Cognition using SGOMS/ACT-R predictions of a SGOMS based Mobile application

Abstract

This research continues to develop SGOMS, a general theory of how all experts organize routine expert task knowledge. Previous predictions of SGOMS/ACT-R motivated experimental and model design improvements to predict all expert players (expected of a general theory of expertise). In this study, the micro-strategies predictions of two models (Internal and External SGOMS/ACT-R models) are compared to the micro-strategies used by individual participants. A visual cue was added to the experimental game played in this study to encourage the same SGOMS game strategy. It was assumed that participants would use the color cue to help them follow the Internal model (a previously proposed model), but surprisingly, all participants better matched the External model. The external model assumes the visual system learns and handles higher gameplay knowledge. This provided evidence that high-level expert task information can and is more readily offloaded to the visual system.