Revised Computational-GOMS Model for Drag Activity

Abstract

The existing GOMS model overestimates the performance time of mouse activities because it describes them in a serial sequence. However, parallel movements of eye and hand(eye-hand coordination) have been dominant in mouse activities and this eye-hand coordination is the main factor for the overestimation of performance time. In this study, therefore, the revised CGOMSL model was developed to implement eye-hand coordination to the mouse activity to overcome one of the limitations of GOMS model, the lack of capability for parallel processing. The suggested revised CGOMSL model for drag activity, as an example for one of mouse activities in this study, begins visual search processing before a hand movement but ends the visual search processing with the hand movement in the same time. The results show that the revised CGOMSL model made the prediction of human performance more accurately than the existing GOMS model. In other words, one of the limitations of GOMS model, the incapability of parallel processing, could be overcome with the revised CGOMSL model so that the performance time should be more accurately predicted.

A Unit Touch Gesture Model of Performance Time Prediction for Mobile Devices

“…However, the environment is currently changing to NUI (natural user interface) in which user's action is directly perceived like a touch-based mobile device (Back et al, 2015). Therefore, the performance time extracted based on desktop environment at the time of GOMS development has such problems as the lack of the number of operators (Lee et al, 2011) and decline in predictive power of performance time in explaining and predicting the various current HCI environments. A study of Lee et al (2011) points out the operator in the existing GOMS model may have low precision, since the performance improvement of computers and mobile devices, and learner's device learning and familiarization are not considered.…”