Athletic hurdles, as a high-complexity perceptual-motor task, relies on the deep synergy between perceptual and motor systems for skill internalization. Traditional training methods have limitations in motor skill feedback, and virtual reality technology provides a new paradigm for perceptual-motor fitness research through multimodal interaction. However, the dynamic mechanism of the perceptual-action dual pathway (epiphenomenal cognitive pathway and implicit automation pathway) on the internalization of hurdling skills in VR environments has not yet been clarified, which hinders the precise optimization of VR training systems. This study aims to break through the venue limitation, reduce the learning risk of high-risk maneuvers, and provide a new path for teaching complex skills. Method: 1) Literature method. We searched the relevant literature through China Knowledge Network, Web of Science, and Wanfang Database, and organized and summarized the relevant literature with the keywords. 2) Experimental method. Thirty-two college students specializing in track and field hurdles were selected as research subjects, who were randomly divided into an adaptive VR group (experimental group) and a traditional VR control group, and the degree of skill internalization was assessed using a dual-task paradigm. 3) Mathematical and statistical methods. Using Excel 2019 statistical data, SPSS Statistics 25.0 statistical software. 1) The experimental group showed a significant improvement after training: a reduction in the temporal error of the hurdling maneuver (P 0.05). This study reveals that perceptual-motor adaptability in VR environments facilitates the internalization of hurdling skills through a dual-path mechanism: the episodic path optimizes the cognitive representation of movement strategies, and the implicit path accelerates the cortical-cerebellar encoding of automated movement patterns. The findings provide a theoretical framework for building an intelligent VR training system and confirm the significant advantages of dynamic adaptive VR in complex motor skill training.
Ke Wang (Thu,) studied this question.