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

• Virtual reality
• Artificial intelligence
• Motor learning
• Perceptual–cognitive skills
• Sys-tematic review

Spor Eğitiminde Yapay Zekâ ve Sanal Gerçeklik: Beceri Edinimi ve Algısal-Motor Performans Üzerine Sistematik Derleme

Öz

Yapay zekâ (YZ) ve sanal gerçeklik (SG) spor eğitimine giderek daha fazla entegre edilmektedir; ancak bu teknolojilerin etkinliğine ilişkin kanıtlar hâlen parçalıdır. Bu sistematik derleme, PRISMA 2020 yönergeleri doğrultusunda 2012–2025 yılları arasında yayımlanmış, sporcularda YZ, SG ve hibrit YZ+SG müdahalelerini inceleyen deneysel çalışmaları sentezlemiştir. Altı veri tabanında yapılan taramalar sonucunda 14 uygun çalışma belirlenmiştir. Bulgular, SG müdahalelerinin tepki süresi, karar verme ve dengeyi geliştirdiğini; YZ programlarının ise öğrenme verimliliğini artırıp hataları azalttığını göstermiştir. Hibrit yaklaşımlar (n = 3), özellikle futbol ve basketbol gibi branşlarda en güçlü spora özgü aktarım etkilerini ortaya koymuştur. Yöntemsel kalite açısından, altı çalışma düşük, beş çalışma orta ve üç çalışma yüksek yanlılık riski taşımaktadır. Ancak, müdahalelerin çoğu kısa süreli ve küçük örneklemlerle yürütülmüş, ayrıca heterojenlik meta-analizin yapılmasını engellemiştir. Genel olarak, YZ ve SG motor öğrenme ve algısal-bilişsel becerilerin geliştirilmesinde önemli bir potansiyel taşımaktadır; ancak daha standartlaştırılmış çıktılarla yürütülecek titiz randomize kontrollü çalışmalara ihtiyaç duyulmaktadır.

Anahtar Kelimeler

• Sanal gerçeklik
• Yapay zeka
• Motor öğrenme
• Algısal-bilişsel beceriler
• Sistematik inceleme

Kaynakça

1. Bedir, E., & Erhan, S. E. (2020). The effect of virtual reality technology on the imagery skills and performance of target-based sports athletes.Frontiers in Psychology, 11, Article 2073. https://doi.org/10.3389/fpsyg.2020.02073
2. Bideau, B., Kulpa, R., Vignais, N., Brault, S., Multon, F., & Craig, C. (2010). Using virtual reality to analyze sports performance. IEEE Computer Graphics and Applications, 30(2), 14–21. https://doi.org/10.1109/MCG.2010.10
3. Bridgeman, J., & Giraldez-Hayes, A. (2023). Using artificial intelligence-enhanced video feedback for reflective practice in coach development: Benefits and potential drawbacks. Coaching: An International Journal of Theory, Research and Practice, 17(1), 32–49. https://doi.org/10.1080/17521882.2023.2228416
4. Davids, K., Araújo, D., Seifert, L., & Orth, D. (2015). Expert performance in sport: An ecological dynamics perspective. In J. Baker & D. Farrow (Eds.), Routledge handbook of sport expertise (pp. 273–303). Routledge.
5. Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
6. Drew, S. A., Awad, M. F., Armendariz, J. A., Gabay, B., Lachica, I. J., & Hinkel-Lipsker, J. W. (2020). The trade-off of virtual reality training for dart throwing: A facilitation of perceptual-motor learning with a detriment to performance. Frontiers in Sports and Active Living, 2, Article 59. https://doi.org/10.3389/fspor.2020.00059
7. Ericsson, K. A. (2008). Deliberate practice and acquisition of expert performance: A general overview. Academic Emergency Medicine, 15(11), 988–994. https://doi.org/10.1111/j.1553-2712.2008.00227.x
8. Faure, C., Limballe, A., Bideau, B., & Kulpa, R. (2020). Virtual reality to assess and train team ball sports performance: A scoping review. Journal of Sports Sciences, 38(18), 192–205. https://doi.org/10.1080/02640414.2019.1689807

9. Fortes, L. S., Almeida, S. S., Praça, G. M., Nascimento-Júnior, J. R. A., Lima-Junior, D., Barbosa, B. T., & Ferreira, M. E. C. (2021). Virtual reality promotes greater improvements than video-stimulation screen on perceptual-cognitive skills in young soccer athletes. Human Movement Science, 79, Article 102856. https://doi.org/10.1016/j.humov.2021.102856
10. Chaimani, A., Caldwell, D. M., Li, T., Higgins, J. P. T., & Salanti, G. (2019). Undertaking network meta-analyses. In J. P. T. Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M. J. Page, & V. A. Welch (Eds.), Cochrane handbook for systematic reviews of interventions (Chap. 11). https://doi.org/10.1002/9781119536604.ch11
11. Gray, R. (2017). Transfer of training from virtual to real baseball batting. Frontiers in Psychology, 8, Article 2183. https://doi.org/10.3389/fpsyg.2017.02183
12. Guadagnoli, M. A., & Lee, T. D. (2004). Challenge point: A framework for conceptualizing the effects of various practice conditions in motor learning. Journal of Motor Behavior, 36(2), 212–224. https://doi.org/10.3200/JMBR.36.2.212-224
13. Harenberg, S., McCarver, Z., Worley, J., Murr, D., Vosloo, J., Kakar, R. S., McCaffrey, R., Dorsch, K., & Höner, O. (2022). The effectiveness of 3D multiple object tracking training on decision-making in soccer. Science and Medicine in Football, 6(3), 355–362. https://doi.org/10.1080/24733938.2021.1965201
14. Harris, D. J., Buckingham, G., Wilson, M. R., Brookes, J., Mushtaq, F., Mon-Williams, M., & Vine, S. J. (2020). The effect of a virtual reality environment on gaze behaviour and motor skill learning. Psychology of Sport and Exercise, 50, Article 101721. https://doi.org/10.1016/j.psychsport.2020.101721
15. Hoffmann, C. P., Filippeschi, A., Ruffaldi, E., & Bardy, B. G. (2014). Energy management using virtual reality improves 2000-m rowing performance. Journal of Sports Sciences, 32(6), 501–509. https://doi.org/10.1080/02640414.2013.835435
16. Joanna Briggs Institute. (2020). JBI critical appraisal tools. https://jbi.global/critical-appraisal-tools
17. Le Noury, P., Polman, R., Maloney, M., & Gorman, A. (2022). A narrative review of the current state of extended reality technology and how it can be utilised in sport. Sports Medicine, 52, 1473–1489. https://doi.org/10.1007/s40279-022-01669-0
18. Marshall, B., Uiga, L., Parr, J. V. V., & Wood, G. (2023). A preliminary investigation into the efficacy of training soccer heading in immersive virtual reality. Virtual Reality, 27, 2397–2404. https://doi.org/10.1007/s10055-023-00807-x
19. Mateus, N., Sousa, V., & Santos, P. (2024). Empowering the sports scientist with artificial intelligence—A scoping review. Sports, 12(11), Article 217. https://doi.org/10.3390/sports12110217
20. Michalski, S. C., Szpak, A., Saredakis, D., Ross, T. J., Billinghurst, M., & Loetscher, T. (2019). Getting your game on: Using virtual reality to improve real table tennis skills. PLOS ONE, 14(9), e0222351. https://doi.org/10.1371/journal.pone.0222351
21. Naik, B. T., Hashmi, M. F., & Bokde, N. D. (2022). A comprehensive review of computer vision in sports: Open issues, future trends and research directions. Applied Sciences, 12(9), Article 4429. https://doi.org/10.3390/app12094429
22. Neumann, D. L., Moffitt, R. L., Thomas, P. R., Loveday, K., Watling, D. P., Lombard, C. L., Antonova, S., & Tremeer, M. A. (2017). A systematic review of the application of interactive virtual reality to sport. Virtual Reality, 22(3), 183–198.https://doi.org/10.1007/s10055-017-0320-5
23. Pagé, C., Bernier, P.-M., & Trempe, M. (2019).Using video simulations and virtual reality to improve decision-making skills in basketball. Journal of Sports Sciences, 37(21), 2403–2410. https://doi.org/10.1080/02640414.2019.1638193
24. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E.,
25. McDonald, S., … McGuinness, L. A. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
26. Panchuk, D., Klusemann, M. J., & Hadlow, S. M. (2018). Exploring the effectiveness of immersive video for training decision-making capability in elite, youth basketball players. Frontiers in Psychology, 9, Article 2315. https://doi.org/10.3389/fpsyg.2018.02315
27. Pastel, S., Petri, K., & Chen, C.-H. (2023). Training in virtual reality enables learning of a complex sports movement.mVirtual Reality, 27(2), 523–540. https://doi.org/10.1007/s10055-022-00679-7
28. Petri, K., Emmermacher, P., Danneberg, M., Masik, S., Eckardt, F., Weichelt, S., Bandow, N., & Witte, K. (2019). Training using virtual reality improves response behavior in karate kumite. Sports Engineering, 22, Article 2. https://doi.org/10.1007/s12283-019-0299-0
29. Pinder, R. A., Davids, K., Renshaw, I., & Araújo, D. (2011). Representative learning design and functionality of research and practice in sport. Journal of Sport & Exercise Psychology, 33(1), 146–155. https://doi.org/10.1123/jsep.33.1.146
30. Renshaw, I., & Chow, J. Y. (2019). A constraints-led approach to sport and physical education pedagogy. Physical Education and Sport Pedagogy, 24(2), 103–116. https://doi.org/10.1080/17408989.2018.1552676
31. Romeas, T., Chaumillon, R., Labbé, D., & Faubert, J. (2019). Combining 3D-MOT with sport decision-making for perceptual-cognitive training in virtual reality. Perceptual and Motor Skills, 126(5), 922–948. https://doi.org/10.1177/0031512519860286
32. Rothschild, J. A., Stewart, T., Kilding, A. E., & Plews, D. J. (2024). Predicting daily recovery during long-term endurance training using machine learning analysis. European Journal of Applied Physiology, 124(11), 3279–3290.
33. Schmidt, R. A., & Lee, T. D. (2019). Motor control and learning: A behavioral emphasis (7th ed.). Human Kinetics.