Revised GOMS Operator for Drag and Drop

Abstract

This article briefly discussed ways to overcome the limitations of existing GOMS (Goals, Operators, Methods, and Selection) models and primarily focused on the human processing of cognition and perception which was widely discussed yet a moot issue. Regarding mouse activities, especially drag-drop, the experiment demonstrates a significant difference between the predicted and empirical results in terms of time. The reason was found to be the following: in empirical testing, participants were swift in executing dragging behavior, whereas in NGOMSL modeling, not penetrated parameters of internal/external operators become sequential components that cause the metrics (e.g., movement time) to be computed serially. Based on other studies on mouse activity, the operator of the original NGOMSL is revised to include accurate cognitive process. In the validation, by implementing the revised GOMS operator, differences between the model execution time and the empirical duration, as measured when certain software is used, are evaluated. As a result, the revised GOMS model with new operators is proven to be effective and provides an estimate that deviates from the empirical value by at most 7%.