Revised Computational-GOMS Model for Drag Activity

Revised Computational-GOMS Model for Drag Activity

초록

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.

키워드

CGOMSLDrag activityEye-Hand CoordinationParallel Processing
제목
Revised Computational-GOMS Model for Drag Activity
제목 (타언어)
Revised Computational-GOMS Model for Drag Activity
저자
이용호명노해전영주
발행일
2011
저널명
대한인간공학회지
30
2
페이지
365 ~ 373