Review

Artificial Intelligence and Virtual Reality in Sports Training: A Systematic Review on Skill Acquisition and Perceptual–Motor Performance

Number: Advanced Online Publication February 18, 2026
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Artificial Intelligence and Virtual Reality in Sports Training: A Systematic Review on Skill Acquisition and Perceptual–Motor Performance

Abstract

Artificial intelligence (AI) and virtual reality (VR) are increasingly integrated into sports training, yet evidence on their effectiveness remains fragmented. This systematic review synthesized experimental studies published between 2012 and 2025 on AI, VR, and hybrid AI+VR interventions for athletes, following PRISMA 2020 guidelines. Six data-bases were searched, yielding 14 eligible studies. Results showed that VR interventions improved reaction time, decision-making, and balance, whereas AI programs enhanced learning efficiency and reduced errors. Hybrid approaches (n= 3) demonstrated the strongest sport-specific transfer effects, particularly in football and basketball. Regarding methodological quality, six studies presented a low risk of bias, five moderate, and three high. However, most interventions were short term with small samples, and heteroge-neity prevented meta-analysis. Overall, AI and VR hold considerable promise for en-hancing motor learning and perceptual–cognitive skills, but more rigorous randomized controlled trials with standardized outcomes are needed.

Keywords

References

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Details

Primary Language

English

Subjects

Physical Training and Sports , Physical Training and Sports Pedagogy , Motor Control

Journal Section

Review

Early Pub Date

February 18, 2026

Publication Date

February 18, 2026

Submission Date

September 3, 2025

Acceptance Date

February 2, 2026

Published in Issue

Year 2026 Number: Advanced Online Publication

APA
Atıcı, A. R. (2026). Artificial Intelligence and Virtual Reality in Sports Training: A Systematic Review on Skill Acquisition and Perceptual–Motor Performance. International Journal of Recreation and Sports Science, Advanced Online Publication, 26-34. https://doi.org/10.46463/ijrss.1777164