Contenido principal del artículo

Fentje Welliam Langitan
Universitas Negeri Manado
Indonesia
https://orcid.org/0000-0002-5665-1801
Fadli Ihsan
Universitas Negeri Yogyakarta
Indonesia
https://orcid.org/0000-0002-1970-816X
Fredrik Alfrets Makadada
Universitas Negeri Manado
Indonesia
https://orcid.org/0000-0001-6577-4662
Nolfie Piri
Universitas Negeri Manado
Indonesia
Daniel Wonsiwor
Universitas Cenderawasih
Indonesia
Vol. 12 Núm. 1 (2026), Artículos Originales, Páginas 1-20

DOI:

https://doi.org/10.17979/sportis.2026.12.1.12555
Recibido: 2025-08-23 Publicado: 2026-01-01
Derechos de autor Cómo citar

Resumen

El tenis de mesa es un deporte de gran velocidad que exige un procesamiento visual rápido y decisiones instantáneas. En este marco, el tiempo de reacción —tanto simple como de elección resulta crucial para el rendimiento de élite. Sin embargo, los entrenamientos convencionales suelen centrarse en lo físico y técnico, descuidando los aspectos cognitivos.


Este estudio tuvo como objetivo examinar el efecto del entrenamiento del tiempo de reacción mediante un software de estímulos visuales en jugadores de tenis de mesa de élite. Se aplicó un diseño cuasi-experimental con grupo de control y evaluaciones pretest y postest. Veinte atletas de alto nivel, de entre 17 y 25 años, fueron distribuidos aleatoriamente en dos grupos. El experimental recibió entrenamiento con el software tres veces por semana durante ocho semanas, mientras que el grupo de control continuó con su preparación estándar.


Los resultados posteriores mostraron mejoras notables en el grupo experimental: el tiempo de reacción simple disminuyó en 75,6 ms y el de elección en 88,6 ms. Además, la consistencia en los peloteos aumentó en 14,8 golpes y la precisión en los smashes en 7,2 puntos. El análisis estadístico reveló diferencias muy significativas (p < 0,001) con grandes tamaños de efecto (d de Cohen > 2,5). Estos hallazgos evidencian que el uso de software de estímulos visuales fortalece la integración perceptivo-motora y debe considerarse esencial en programas modernos de preparación deportiva.

Detalles del artículo

Referencias

Badau, D., Badau, A., Ene-Voiculescu, C., Larion, A., Ene-Voiculescu, V., Mihaila, I., Fleancu, J. L., Tudor, V., Tifrea, C., Cotovanu, A. S., & Abramiuc, A. (2022). The Impact of Implementing an Exergame Program on the Level of Reaction Time Optimization in Handball, Volleyball, and Basketball Players. International Journal of Environmental Research and Public Health, 19(9). https://doi.org/10.3390/ijerph19095598

Bhabhor, M. K., Vidja, K., Bhanderi, P., Dodhia, S., Kathrotia, R., & Joshi, V. (2013). A comparative study of visual reaction time in table tennis players and healthy controls. Indian Journal of Physiology and Pharmacology.., 57(4), 439–442.

Burgio, F., Delazer, M., Meneghello, F., Pertl, M.-T., Semenza, C., & Zamarian, L. (2018). Cognitive Training Improves Ratio Processing and Decision Making in Patients with Mild Cognitive Impairment. Journal of Alzheimer’s Disease : JAD, 64(4), 1213–1226. https://doi.org/10.3233/JAD-180461

Chaddock, L., Neider, M. B., Voss, M. W., Gaspar, J. G., & Kramer, A. F. (2011). Do athletes excel at everyday tasks? Medicine and Science in Sports and Exercise, 43(10), 1920–1926. https://doi.org/10.1249/MSS.0b013e318218ca74

Chen, I.-C., Wu, C.-Y., Hu, Y.-L., & Huang, Y.-M. (2024). Development and Validation of Virtual Reality Cognitive Training for Older Adults with Mild Cognitive Impairment: Protocol for a Mixed-Methods Program Evaluation Study. Clinical Interventions in Aging, 19, 1855–1865. https://doi.org/10.2147/CIA.S471547

Dai, J., Xiao, Y., Chen, G., Gu, Z., & Xu, K. (2024). Anodal transcranial direct current stimulation enhances response inhibition and attention allocation in fencers. PeerJ, 12, e17288. https://doi.org/10.7717/peerj.17288

Dommes, A., Merlhiot, G., Lobjois, R., Dang, N.-T., Vienne, F., Boulo, J., Oliver, A.-H., Crétual, A., & Cavallo, V. (2021). Young and older adult pedestrians’ behavior when crossing a street in front of conventional and self-driving cars. Accident; Analysis and Prevention, 159, 106256. https://doi.org/10.1016/j.aap.2021.106256

Duda, B. M., & Sweet, L. H. (2020). Functional brain changes associated with cognitive training in healthy older adults: A preliminary ALE meta-analysis. Brain Imaging and Behavior, 14(4), 1247–1262. https://doi.org/10.1007/s11682-019-00080-0

Gredin, V., Broadbent, D., Thomas, J., & Williams, A. (2023). The role of action tendencies in expert anticipation. Asian Journal of Sport and Exercise Psychology. https://doi.org/10.1016/j.ajsep.2023.02.001

Hülsdünker, T., Ostermann, M., & Mierau, A. (2019). The speed of neural visual motion perception and processing determines the visuomotor reaction time of young elite table tennis athletes. Frontiers in Behavioral Neuroscience, 13(July), 1–13. https://doi.org/10.3389/fnbeh.2019.00165

Hülsdünker, T., Strüder, H. K., & Mierau, A. (2017). Visual Motion Processing Subserves Faster Visuomotor Reaction in Badminton Players. Medicine and Science in Sports and Exercise, 49(6), 1097–1110. https://doi.org/10.1249/MSS.0000000000001198

Janelle, C., Fawver, B., Beatty, G., Tenenbaum, G., & Eklund, R. (2020). Emotion and Sport Performance. 254–298. https://doi.org/10.1002/9781119568124.ch13

Koch, P., & Krenn, B. (2021). Executive functions in elite athletes – Comparing open-skill and closed-skill sports and considering the role of athletes’ past involvement in both sport categories. Psychology of Sport and Exercise, 55, 101925. https://doi.org/https://doi.org/10.1016/j.psychsport.2021.101925

Kosinski, R. J. (2010). A Literature Review on Reaction Time. 10(August), 2006. http://biology.clemson.edu/bpc/bp/Lab/110/reaction.htm

Matsutake, T., Nakata, H., Matsuo, G., Natsuhara, T., Zippo, K., Watanabe, K., & Sugo, T. (2024). Fast and Stable Responses during Decision Making Require Strong Inhibitory Processes in Soccer Players. Brain Sciences, 14(3). https://doi.org/10.3390/brainsci14030199

Nakamoto, H., & Mori, S. (2008). Sport-specific decision-making in a Go/NoGo reaction task: difference among nonathletes and baseball and basketball players. Perceptual and Motor Skills, 106(1), 163–170. https://doi.org/10.2466/pms.106.1.163-170

Nascimento, H., Alvarez, C., Martinez-Perez, C., & Sanchez Tena, M. A. (2021). Vision in Futsal Players: Coordination and Reaction Time. International Journal of Environmental Research and Public Health, 18, 9069. https://doi.org/10.3390/ijerph18179069

Nor, N., Anuar, N., & Mohamed, M. (2024). The Relationship between Mental Toughness and Sports Performance Perception among Secondary School Athletes: A Cross-sectional Analysis. International Journal of Academic Research in Progressive Education and Development, 13. https://doi.org/10.6007/IJARPED/v13-i4/23502

Poltavski, D., & Biberdorf, D. (2015). The role of visual perception measures used in sports vision programmes in predicting actual game performance in Division I collegiate hockey players. Journal of Sports Sciences, 33(6), 597–608. https://doi.org/10.1080/02640414.2014.951952

Ryu, D., Kim, S., Abernethy, B., & Mann, D. L. (2013). Guiding attention aids the acquisition of anticipatory skill in novice soccer goalkeepers. Research Quarterly for Exercise and Sport, 84(2), 252–262. https://doi.org/10.1080/02701367.2013.784843

Scharfen, H.-E., & Memmert, D. (2019). Measurement of cognitive functions in experts and elite athletes: A meta‐analytic review. Applied Cognitive Psychology, 33, 843–860. https://doi.org/10.1002/acp.3526

Semenova, E. A., Hall, E. C. R., & Ahmetov, I. I. (2023). Genes and Athletic Performance: The 2023 Update. Genes, 14(6). https://doi.org/10.3390/genes14061235

Song, Y., Jiang, Q., Chen, W., Zhuang, X., & Ma, G. (2023). Pedestrians’ road-crossing behavior towards eHMI-equipped autonomous vehicles driving in segregated and mixed traffic conditions. Accident; Analysis and Prevention, 188, 107115. https://doi.org/10.1016/j.aap.2023.107115

Tønnessen, E., Haugen, T., & Shalfawi, S. (2013). Reaction Time Aspects of Elite Sprinters In Athletics World Championships. Journal of Strength and Conditioning Research / National Strength & Conditioning Association, 27, 885–892. https://doi.org/10.1519/JSC.0b013e31826520c3

Voss, M., Kramer, A., Basak, C., Prakash, R., & Roberts, B. (2010). Are Expert Athletes “Expert” in the Cognitive Laboratory? A Meta-Analytic Review of Cognition and Sport Expertise. Applied Cognitive Psychology, 24, 812–826. https://doi.org/10.1002/acp.1588

Wang, Y., Ji, Q., Zhou, C., & Wang, Y. (2022). Brain mechanisms linking language processing and open motor skill training. Frontiers in Human Neuroscience, 16, 911894. https://doi.org/10.3389/fnhum.2022.911894

Wu, J., Qiu, P., Lv, S., Chen, M., & Li, Y. (2024). The effects of cognitive-motor dual-task training on athletes’ cognition and motor performance. Frontiers in Psychology, 15(February), 1–12. https://doi.org/10.3389/fpsyg.2024.1284787

Yamashiro, K., Sato, D., Onishi, H., Sugawara, K., Nakazawa, S., Shimojo, H., Akatsuka, K., Nakata, H., & Maruyama, A. (2015). Skill-Specific Changes in Somatosensory Nogo Potentials in Baseball Players. PloS One, 10(11), e0142581. https://doi.org/10.1371/journal.pone.0142581

Yamashiro, K., Yamazaki, Y., Siiya, K., Ikarashi, K., Baba, Y., Otsuru, N., Onishi, H., & Sato, D. (2021). Modality-specific improvements in sensory processing among baseball players. Scientific Reports, 11(1), 2248. https://doi.org/10.1038/s41598-021-81852-x

Yang, J.-G., Thapa, N., Park, H.-J., Bae, S., Park, K. W., Park, J.-H., & Park, H. (2022). Virtual Reality and Exercise Training Enhance Brain, Cognitive, and Physical Health in Older Adults with Mild Cognitive Impairment. International Journal of Environmental Research and Public Health, 19(20). https://doi.org/10.3390/ijerph192013300

Zhao, J., Yang, Y., Bo, L., Qi, J., & Zhu, Y. (2024). Research Progress on Applying Intelligent Sensors in Sports Science. Sensors, 24(22). https://doi.org/10.3390/s24227338

Zhu, M., Pi, Y., Zhang, J., & Gu, N. (2022). The superior response speed of table tennis players is associated with proactive inhibitory control. PeerJ, 10, e13493. https://doi.org/10.7717/peerj.13493

Zhu, R., Zheng, M., Liu, S., Guo, J., & Cao, C. (2024). Effects of Perceptual-Cognitive Training on Anticipation and Decision-Making Skills in Team Sports: A Systematic Review and Meta-Analysis. Behavioral Sciences, 14, 919. https://doi.org/10.3390/bs14100919