Enhanced predictive saccade strategies and spatial prediction accuracy in first-person shooter-specialized players

第一人称射击游戏玩家的预测性眼跳策略和空间预测准确性得到提升

阅读:1

Abstract

INTRODUCTION: Predictive gaze behavior is essential in fast-paced esport environments; however, the visuomotor and neural mechanisms supporting predictive saccades in competitive first-person shooter (FPS) players remain insufficiently understood. This study investigated whether FPS-specialized players exhibit enhanced predictive saccade strategies compared to individuals without competitive FPS experience. METHODS: Seventeen active gamers were assigned to either an FPS-specialized group (n = 6) or a non-FPS group (n = 11). Participants performed a target-arrival prediction task in which a parabolically moving target was occluded midway through its trajectory. They were instructed to fixate on the starting point, execute a predictive saccade toward the internally estimated arrival position, maintain fixation, and press a button at their judged arrival time. Position Error (PE) was derived from gaze and button-press data. Low-beta (12-16 Hz) electroencephalography (EEG) activity was extracted using the Hilbert transform and group differences were assessed using time-series statistics and cluster-based permutation testing. RESULTS: The FPS-specialized group exhibited earlier emergence of predictive gaze shifts toward the anticipated arrival position and demonstrated substantially smaller spatial prediction errors, including reduced PE values. These behavioral advantages were accompanied by increased low-beta activity in right Brodmann area (BA) 7, left BA40, and left BA6-regions, associated with spatial prediction, visuomotor integration, and predictive motor planning. CONCLUSION: These findings suggest that competitive FPS experience cultivates a coordinated visuomotor prediction system that supports earlier initiation and improved accuracy of predictive saccade behavior.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。