This paper presents the empirical results from experiment on speed-accuracy trade-off in ‘drag and drop’ movements. Although the previous work has modeled a theorem, framework and achievement, but some researcher focused only on the system error. In this paper, we design an analysis mechanism with the software that could behave as actual computer in producing error (system bug). This study aims at investigating the user anticipation in multiple modalities in relation to users’ performance. The multiple modalities represent four feedbacks; default, audio, text and visual that integrate with error enforcement forcing error with certain percentage to simulate system error and actual computer behavior. The finding shows the average means of 4.0667 for feedback modality of which, we conclude that the users anticipate with feedback modality can reacts to improve their performance in movement mechanism.