Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Here  explore a visual display technique for low frame rate virtual environments called low persistence (LP). This involves displaying the rendered frame for a single display frame and blanking the screen while waiting for the next frame to be generated. To gain greater knowledge about the LP technique,  have conducted a user study to evaluate user performance and learning during a dynamic target acquisition task. The task involved the acquisition of targets moving along several different trajectories, modeled after a shotgun trap shooting task. The results of our study indicate the LP condition approaches high frame rate performance within certain classes of target trajectories. Interestingly  also see that learning is consistent across conditions, indicating that it may not always be necessary to train under a visually high frame rate system.
['David J. Zielinski', 'Hrishikesh M. Rao', 'Nick Potter', 'Lawrence G. Appelbaum', 'Regis Kopper']
I am writing a research paper on a idea Evaluating the effects of image persistence on dynamic target acquisition in low frame rate virtual environments
[{"from": "human", "value": "I am writing a research paper on a idea Evaluating the effects of image persistence on dynamic target acquisition in low frame rate virtual environments"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Here  explore a visual display technique for low frame rate virtual environments called low persistence (LP). This involves displaying the rendered frame for a single display frame and blanking the screen while waiting for the next frame to be generated. To gain greater knowledge about the LP technique,  have conducted a user study to evaluate user performance and learning during a dynamic target acquisition task. The task involved the acquisition of targets moving along several different trajectories, modeled after a shotgun trap shooting task. The results of our study indicate the LP condition approaches high frame rate performance within certain classes of target trajectories. Interestingly  also see that learning is consistent across conditions, indicating that it may not always be necessary to train under a visually high frame rate system."}]