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Intent conditions influence human behavior, and the movement of the eye is used by humans to evaluate one anothers reasoning and detecting intent state.The purpose of this study was to investigate the influence of intent condition in change detection performance, whether or not the intent condition could be influenced by change searching tasks, and whether or not the indices from eye movement may be useful for classifying implicit and explicit intent.For this, we classified intent conditions as none intent, explicit intent or implicit intent.We tracked the participants eye movement during the tasks assigned to them based on their intent classification.The results in experiment 1 showed significant difference between the gaze fixation length among none intent and explicit intent on the post-change scene.In experiment 2, analysis of the pre-change scene revealed significant differences between none intent and explicit intent for the fixation length.And in the post-change scene, which added a cover task for inducing similar search behavior among the intent conditions, a significant difference was noted between none intent and implicit intent, explicit intent and implicit intent, and none intent and explicit intent in terms of gaze fixation length and count.The result of discriminant analysis of the results showed that they were significant with the discriminant hit ratio at 80%.These results suggested that eye movement indices may be useful in classifying implicit and explicit intent.