AI-Enhanced Cognitive Training and Basketball Athletes' Situational Awareness on the Court
DOI:
https://doi.org/10.71222/fpncn264Keywords:
artificial intelligence, cognitive training, situational awareness, basketball, decision-makingAbstract
This study comprehensively examined the relationship between artificial intelligence (AI)-enhanced cognitive training and basketball athletes' situational awareness (SA) on the court. A descriptive-comparative-correlational research design was systematically employed, utilizing a sample of 149 collegiate basketball athletes from Guangzhou Sport University as primary respondents. Data were collected via a validated, researcher-made questionnaire and rigorously analyzed using descriptive statistics, independent samples t-tests, one-way ANOVA, and Pearson's r correlation. The empirical results revealed that athletes perceived AI-enhanced cognitive training as slightly effective overall (overall mean = 2.50). Participants reported stronger perceived benefits in critical areas such as anticipation, focus, strategic retention, processing speed, and adaptability, although they noted limited gains in reaction time and decision-making accuracy. Demographic variables, including sex and age, did not significantly influence training perceptions; however, more experienced athletes reported significantly better strategic retention and adaptability. Furthermore, the athletes' self-assessed situational awareness was found to be moderately developed (overall mean = 2.50), characterized by notable strengths in anticipation and spatial awareness, alongside distinct weaknesses in opponent recognition and high-pressure decision-making. Situational awareness did not differ significantly across sex, age, or playing experience. Ultimately, a weak overall correlation existed between AI training perception and situational awareness (r = 0.04, p > 0.05), with only isolated significant links observed. These critical findings strongly justify the strategic development of a specialized, AI-powered situational awareness training program integrating targeted cognitive drills, realistic game scenarios, and personalized feedback to substantially improve skill transfer to actual on-court athletic performance.References
1. Z. Guo and Q. Wang, "The impact of time pressure on decision-making and visual search characteristics in basketball players," Frontiers in Psychology, vol. 16, p. 1660732, 2025.
2. M. R. Endsley, "Toward a theory of situation awareness in dynamic systems," in Situational Awareness, Routledge, pp. 9-42, 2017.
3. Q. Nian, W. Lu, and Y. Xu, "Effects of object working memory load on visual search in basketball players: an eye movement study," BMC Psychology, vol. 11, no. 1, p. 446, 2023.
4. W. Xiao and Z. Jiang, "Multiple object tracking training affects the executive function in basketball players: the role of instant feedback," BMC Psychology, vol. 12, no. 1, p. 417, 2024.
5. W. L. Tsai, L. W. Su, T. Y. Ko, T. Y. Pan, and M. C. Hu, "Feasibility study on using AI and VR for decision-making training of basketball players," IEEE Transactions on Learning Technologies, vol. 14, no. 6, pp. 754-762, 2022.
6. K. M. Aksum, M. Pokolm, C. T. Bjørndal, R. Rein, D. Memmert, and G. Jordet, "Scanning activity in elite youth football players," Journal of Sports Sciences, vol. 39, no. 21, pp. 2401-2410, 2021.
7. H. J. Liu, Q. Zhang, S. Chen, Y. Zhang, and J. Li, "A meta-analysis of performance advantages on athletes in multiple object tracking tasks," Scientific Reports, vol. 14, no. 1, p. 20086, 2024.
8. A. F. Silva, J. Afonso, A. Sampaio, N. Pimenta, R. F. Lima, H. D. O. Castro, et al., "Differences in visual search behavior between expert and novice team sports athletes: A systematic review with meta-analysis," Frontiers in Psychology, vol. 13, p. 1001066, 2022.
9. C. Zhao, N. Liu, S. Li, and X. Zhao, "Investigation of eye movement characteristics during free throws at varying intensities among basketball players and its correlation with free throw percentage," PLOS ONE, vol. 19, no. 8, p. e0299938, 2024.
10. Ó. Bedoya and P. A. F. Polanco, "Systematic review of AI-based cognitive training programs: algorithms, populations, and stimulated cognitive domains," Revista EIA, vol. 22, no. 43, p. 18, 2025.
11. M. Adolphe, M. Pech, M. Sawayama, D. Maurel, A. Delmas, P. Y. Oudeyer, and H. Sauzéon, "Exploring the potential of artificial intelligence in individualized cognitive training: a systematic review," 2023.
12. M. Adolphe, M. Pech, M. Sawayama, D. Maurel, A. Delmas, P. Y. Oudeyer, and H. Sauzeon, "Exploring the potential of artificial intelligence in individualized cognitive training: a systematic review," PLOS ONE, vol. 20, no. 6, p. e0316860, 2025.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Rui Zhang (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.

