Abstract
Objectives
Virtual reality (VR) is increasingly being used for sports purposes, including tactical learning. However, the instructional efficiency of this emerging technology remains unclear, especially when considering learners’ cognitive abilities, such as visuospatial abilities (VSA). The aim of this study was to investigate the role of VSA in memorizing soccer tactics under immersive (VR) and non-immersive (animation) conditions.
Methods
The experiment involved a group of 52 adult male soccer beginners. Initially, participants’ VSA were assessed using six computerized tasks. Subsequently, participants were tasked with memorizing and reproducing tactical soccer scenes in VR and animation formats.
Results
The results revealed a significant interaction, indicating that beginners with high-VSA were more efficient at memorizing scenes through animation than VR, supporting the ability-as-enhancer hypothesis. Conversely, those with low-VSA benefited equally from both visualizations, despite being more accurate in recalling scenes through VR.
Conclusions
Findings suggest that coaches should pay attention when using new technologies such as VR and consider individuals’ levels of VSA to improve their communication and learning sessions.
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Research ethics: The study followed ethical guidelines outlined in the 1964 Helsinki Declaration and its later amendments. All human participants volunteered and provided informed consent for the experiment.
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Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.
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Author contributions: Both authors contributed significantly to the development and completion of this work. Individual contributions are outlined below: Dr. Hatem Ben Mahfoudh: Project conceptualization and design. Conducted extensive research and literature review. Conducted experiments and collected data. Analyzed data, and interpreted the results. Drafted the initial manuscript and contributed to its revision. Provided the final version of the manuscript for submission. Pr. Bachir Zoudji: Assisted in the project's conceptualization and design. Contributed to the data analysis and interpretation. Participated in the writing process, providing substantial inputs during manuscript preparation. Reviewed and provided feedback on the draft versions, helping to refine the content. Approved the final version of the manuscript for submission.
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Competing interests: The authors declare they have no conflict of interest.
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Research funding: No funding was received for conducting this study.
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Data availability: All data and analyses can be downloaded from the Open Science Framework https://osf.io/pzgm5/?view_only=2bd5f44536a64d1e9329fbc1be34369f.
References
1. Cotterill, ST. Virtual reality and sport psychology: implications for applied practice. Case Stud Sport Exerc Psychol 2018;2:21–2. https://doi.org/10.1123/cssep.2018-0002.Search in Google Scholar
2. Tsai, WL. Personal Basketball Coach [Internet]. Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval. Yokohama Japan: ACM; 2018. https://doi.org/10.1145/3206025.3206084.Search in Google Scholar
3. Bird, JM. The use of virtual reality head-mounted displays within applied sport psychology. J Sport Psychol Action 2019;11:111–28. https://doi.org/10.1080/21520704.2018.1563573.Search in Google Scholar
4. Cannavo, A, Musto, M, Prattico, FG, Raho, F, Lamberti, F. A participative system for tactics analysis in sport training based on immersive virtual reality. In: Proceeding of the 4th workshop on everyday virtual reality (WEVR 2018)–25th IEEE conference on virtual reality and 3D user interfaces. Reutlingen: Germany; 2018:1–4 pp.Search in Google Scholar
5. Gondo, S, Inoue, T, Tarukawa, K, Okada, K. Soccer tactics analysis supporting system displaying the player’s actions in virtual space. In: Proceedings of the 2014 IEEE 18th international conference on computer supported cooperative work in design (CSCWD); Hsinchu; 2014.10.1109/CSCWD.2014.6846909Search in Google Scholar
6. Petri, K, Emmermacher, P, Danneberg, M, Masik, S, Eckardt, F, Weichelt, S, et al.. Training using virtual reality improves response behavior in karate kumite. Sports Eng 2019;22:2. https://doi.org/10.1007/s12283-019-0299-0.Search in Google Scholar
7. Wang, J. Research on application of virtual reality technology in competitive sports. Proc Eng 2012;29:3659–62. https://doi.org/10.1016/j.proeng.2012.01.548.Search in Google Scholar
8. Zaal, FTJM, Bootsma, RJ. Virtual reality as a tool for the study of perception-action: the case of running to catch fly balls. Presence Teleoperators Virtual Environ 2011;20:93–103. https://doi.org/10.1162/pres_a_00037.Search in Google Scholar
9. Miles, HC, Pop, SR, Watt, SJ, Lawrence, GP, John, NW. A review of virtual environments for training in ball sports. Comput Graph 2012;36:714–26. https://doi.org/10.1016/j.cag.2012.04.007.Search in Google Scholar
10. Gulec, U, Yilmaz, M, Isler, V, O’Connor, RV, Clarke, PM. A 3D virtual environment for training soccer referees. Comput Stand Interfac 2019;64:1–10. https://doi.org/10.1016/j.csi.2018.11.004.Search in Google Scholar
11. Leder, J, Horlitz, T, Puschmann, P, Wittstock, V, Schütz, A. Comparing immersive virtual reality and powerpoint as methods for delivering safety training: impacts on risk perception, learning, and decision making. Saf Sci 2019;111:271–86. https://doi.org/10.1016/j.ssci.2018.07.021.Search in Google Scholar
12. Giblin, G, Tor, E, Parrington, L. The impact of technology on elite sports performance. Sensoria J Mind Brain Cult 2016;12:3–9. https://doi.org/10.7790/sa.v12i2.436.Search in Google Scholar
13. Covaci, A, Postelnicu, CC, Panfir, AN, Talaba, D. A virtual reality simulator for basketball free-throw skills development. In: Technological innovation for value creation. Berlin: Springer Berlin Heidelberg; 2012:105–12 pp.10.1007/978-3-642-28255-3_12Search in Google Scholar
14. Dhawan, A, Cummins, A, Spratford, W, Dessing, JC, Craig, C. Development of a novel immersive interactive virtual reality cricket simulator for cricket batting. In: Proceedings of the 10th international symposium on computer science in sports (ISCSS). US: Springer International Publishing; 2015:203–10 pp.10.1007/978-3-319-24560-7_26Search in Google Scholar
15. Bideau, B, Kulpa, R, Ménardais, S, Fradet, L, Multon, F, Delamarche, P, et al.. Real handball goalkeeper vs. virtual handball thrower. Presence Teleoperators Virtual Environ 2003;12:411–21. https://doi.org/10.1162/105474603322391631.Search in Google Scholar
16. Stinson, C, Bowman, DA. Feasibility of training athletes for high-pressure situations using virtual reality. IEEE Trans Visual Comput Graph 2014;20:606–15. https://doi.org/10.1109/tvcg.2014.23.Search in Google Scholar PubMed
17. Rojas, F, César, D, Kitahara, I, Kameda, Y. Read-the-game: system for skill-based visual exploratory activity assessment with a full body virtual reality soccer simulation. PLoS ONE 2020;15:e0230042. https://doi.org/10.1371/journal.pone.0230042.Search in Google Scholar PubMed PubMed Central
18. Vignais, N, Kulpa, R, Brault, S, Presse, D, Bideau, B. Which technology to investigate visual perception in sport: video vs. virtual reality. Hum Mov Sci 2015;39:12–26. https://doi.org/10.1016/j.humov.2014.10.006.Search in Google Scholar PubMed
19. Bideau, B, Kulpa, R, Vignais, N, Brault, S, Multon, F, Craig, C. Using virtual reality to analyze sports performance. IEEE Comput Graph Appl 2010;30:14–21. https://doi.org/10.1109/mcg.2009.134.Search in Google Scholar PubMed
20. Kittel, A, Larkin, P, Elsworthy, N, Spittle, M. Using 360° virtual reality as a decision-making assessment tool in sport. J Sci Med Sport 2019;22:1049–53. https://doi.org/10.1016/j.jsams.2019.03.012.Search in Google Scholar PubMed
21. Putranto, JS, Heriyanto, J, Kenny, Achmad, S, Kurniawan, A. Implementation of virtual reality technology for sports education and training: systematic literature review. Proc Comput Sci 2023;216:293–300. https://doi.org/10.1016/j.procs.2022.12.139.Search in Google Scholar
22. Richard, G, Carriere, JSA, Trempe, M. Basketball videos presented on a computer screen appear slower than in virtual reality. Cognit Process 2022;23:583–91. https://doi.org/10.1007/s10339-022-01100-6.Search in Google Scholar PubMed
23. Höffler, TN. Spatial ability: its influence on learning with visualizations—a meta-analytic review. Educ Psychol Rev 2010;22:245–69. https://doi.org/10.1007/s10648-010-9126-7.Search in Google Scholar
24. Hegarty, M, Kriz, S. Effects of knowledge and spatial ability on learning from animation. In: Learning with animation research implications for design. Cambridge: Cambridge University Press; 2008:3–29 pp.Search in Google Scholar
25. Cronbach, LJ, Snow Richard, E. Aptitudes and instructional methods: a handbook for research on interactions. Irvington: Ardent Media; 1981.Search in Google Scholar
26. DiCorradoC, Guarnera, M, Vitali, F, Quartiroli, A, Coco, M. Imagery ability of elite level athletes from individual vs. team and contact vs. no-contact sports. PeerJ 2019;7:e6940. https://doi.org/10.7717/peerj.6940.Search in Google Scholar PubMed PubMed Central
27. Roberts, R, Callow, N, Hardy, L, Markland, D, Bringer, J. Movement imagery ability: development and assessment of a revised version of the vividness of movement imagery questionnaire. J Sport Exerc Psychol 2008;30:200–21. https://doi.org/10.1123/jsep.30.2.200.Search in Google Scholar PubMed
28. Lohman, DF. Spatial ability: a review and reanalysis of the correlational literature. Stanford, CA: School of education. Stanford University; 1979.Search in Google Scholar
29. Ben Mahfoudh, H, Zoudji, B, Pinti, A. The contribution of static and dynamic tests to the assessment of visuospatial abilities among adult males. J Cognit Psychol 2022;34:647–56. https://doi.org/10.1080/20445911.2022.2029460.Search in Google Scholar
30. D’Oliveira, TC. Dynamic spatial ability: an exploratory analysis and a confirmatory study. Int J Aviat Psychol 2004;14:19–38. https://doi.org/10.1207/s15327108ijap1401_2.Search in Google Scholar
31. Hegarty, M, Waller, DA. Individual differences in spatial abilities. In: The Cambridge handbook of visuospatial thinking. Cambridge: Cambridge University Press; 2005:121–69 pp.10.1017/CBO9780511610448.005Search in Google Scholar
32. Hays, TA. Spatial abilities and the effects of computer animation on short-term and long-term comprehension. J Educ Comput Res 1996;14:139–55. https://doi.org/10.2190/60y9-bqg9-80hx-ueml.Search in Google Scholar
33. Höffler, TN, Detlev, L. The role of spatial ability in learning from instructional animations – evidence for an ability-as-compensator hypothesis. Comput Hum Behav 2011;27:209–16. https://doi.org/10.1016/j.chb.2010.07.042.Search in Google Scholar
34. Hegarty, M, Sims, VK. Individual differences in mental animation during mechanical reasoning. Mem Cognit 1994;22:411–30. https://doi.org/10.3758/bf03200867.Search in Google Scholar PubMed
35. Huk, T. Who benefits from learning with 3D models? The case of spatial ability. J Comput Assist Learn 2006;22:392–404. https://doi.org/10.1111/j.1365-2729.2006.00180.x.Search in Google Scholar
36. Levinson, AJ, Weaver, B, Garside, S, McGinn, H, Norman, GR. Virtual reality and brain anatomy: a randomised trial of E-learning instructional designs. Med Educ 2007;41:495–501. https://doi.org/10.1111/j.1365-2929.2006.02694.x.Search in Google Scholar PubMed
37. Merchant, Z, Goetz, ET, Keeney-Kennicutt, W, Kwok, O, Cifuentes, L, Davis, TJ. The learner characteristics, features of desktop 3D virtual reality environments, and college chemistry instruction: a structural equation modeling analysis. Comput Educ 2012;59:551–68. https://doi.org/10.1016/j.compedu.2012.02.004.Search in Google Scholar
38. Bork, F, Stratmann, L, Enssle, S, Eck, U, Navab, N, Waschke, J, et al.. The benefits of an augmented reality magic mirror system for integrated radiology teaching in gross anatomy. Anat Sci Educ 2019;12:585–98. https://doi.org/10.1002/ase.1864.Search in Google Scholar PubMed PubMed Central
39. Kurul, R, Ögün, MN, Neriman Narin, A, Avci, Ş, Yazgan, B. An alternative method for anatomy training: immersive virtual reality. Anat Sci Educ 2020;13:648–56. https://doi.org/10.1002/ase.1959.Search in Google Scholar PubMed
40. Mahfoudh, HB, Zoudji, B. The role of visuospatial abilities in memorizing animations among soccer players. J Imagery Res Sport Phys Act 2020;15:1–8. https://doi.org/10.1515/jirspa-2020-0002.Search in Google Scholar
41. Ben Mahfoudh, H, Zoudji, B. The role of visuospatial abilities and the level of expertise in memorising soccer animations. Int J Sport Exerc Psychol 2021;20:1033–48. https://doi.org/10.1080/1612197x.2021.1940240.Search in Google Scholar
42. Ida, H, Fukuhara, K, Ishii, M. Recognition of tennis serve performed by a digital player: comparison among polygon, shadow, and stick-figure models. PLoS ONE 2012;7:e33879, https://doi.org/10.1371/journal.pone.0033879.Search in Google Scholar PubMed PubMed Central
43. Lucas, T. Exploring the effect of realism at the cognitive stage of complex motor skill learning. E-Learning Digit Media 2019;16:242–66. https://doi.org/10.1177/2042753019835893.Search in Google Scholar
44. Poplu, G, Ripoll, H, Mavromatis, S, Baratgin, J. How do expert soccer players encode visual information to make decisions in simulated game situations? Res Q Exerc Sport 2008;79:392–8. https://doi.org/10.1080/02701367.2008.10599503.Search in Google Scholar PubMed
45. Çöltekin, A, Francelet, R, Richter, KF, Thoresen, J, Fabrikant, SI. The effects of visual realism, spatial abilities, and competition on performance in map-based route learning in men. Cartography Geograph Inform Sci 2017;45:339–53. https://doi.org/10.1080/15230406.2017.1344569.Search in Google Scholar
46. Hegarty, M. Diagrams in the mind and in the world: relations between internal and external visualizations. In: Diagrammatic representation and inference. Diagrams 2004. Lecture notes in computer science. Berlin, Heidelberg: Springer; 2004:1–13 pp.10.1007/978-3-540-25931-2_1Search in Google Scholar
47. Mahfoudh, B, Zoudji, B. Improving soccer players’ memorization of soccer tactics: effects of visual realism, soccer expertise and visuospatial abilities. Percept Mot Skills 2022;129:747–66. https://doi.org/10.1177/00315125221076448.Search in Google Scholar PubMed
48. Smeeton, NJ, Ward, P, Williams, AM. Do pattern recognition skills transfer across sports? A preliminary analysis. J Sports Sci 2004;22:205–13. https://doi.org/10.1080/02640410310001641494.Search in Google Scholar PubMed
49. Piaget, J, Inhelder, B. The child’s conception of space. Langdon FJ, Lunzer JL, trans. London: Routledge & Kegan Paul; 1956.Search in Google Scholar
50. Vandenberg, SG, Kuse, AR. Mental rotations, a group test of three-dimensional spatial visualization. Percept Mot Skills 1978;47:599–604. https://doi.org/10.2466/pms.1978.47.2.599.Search in Google Scholar PubMed
51. Ekstrom, RB, Horace Harman, H. Manual for kit of factor-referenced cognitive tests, 1976. New Jersey, US: Educational Testing Service; 1976.Search in Google Scholar
52. Paas, FGWC, Jeroen, JGVM. Variability of worked examples and transfer of geometrical problem-solving skills: a cognitive-load approach. J Educ Psychol 1994;86:122–33. https://doi.org/10.1037/0022-0663.86.1.122.Search in Google Scholar
53. Paas, F, Tuovinen, JE, Tabbers, H, Van Gerven, PWM. Cognitive load measurement as a means to advance cognitive load theory. Educ Psychol 2003;38:63–71. https://doi.org/10.1207/s15326985ep3801_8.Search in Google Scholar
54. Tuovinen, JE, Fred, P. Exploring multidimensional approaches to the efficiency of instructional conditions. Instr Sci 2004;32:133–52. https://doi.org/10.1023/b:truc.0000021813.24669.62.10.1023/B:TRUC.0000021813.24669.62Search in Google Scholar
55. Hayes, AF. The PROCESS macro for SPSS and SAS (version 2.13). New York, NY, USA: Guilford; 2013. [Software].Search in Google Scholar
56. Preacher, KJ, Hayes, AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods 2008;40:879–91. https://doi.org/10.3758/BRM.40.3.879.Search in Google Scholar PubMed
57. Hayes, AF, Montoya, AK, Rockwood, NJ. The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling. Austral Market J 2017;25:76–81. https://doi.org/10.1016/j.ausmj.2017.02.001.Search in Google Scholar
58. Mahfoudh, HB, Zoudji, B, El Cadi, A. The effects of visual realism and visuospatial abilities on memorizing soccer tactics. J Imagery Res Sport Phys Act 2021;16:1–10. https://doi.org/10.1515/jirspa-2021-0007.Search in Google Scholar
59. Salthouse, TA. The processing-speed theory of adult age differences in cognition. Psychol Rev 1996;103:403. https://doi.org/10.1037//0033-295x.103.3.403.Search in Google Scholar
60. Isaak, MI, Just, MA. Constraints on the processing of rolling motion: the curtate cycloid illusion. J Exp Psychol Hum Percept Perform 1995;21:1391. https://doi.org/10.1037/0096-1523.21.6.1391.Search in Google Scholar
61. Mayer, RE, Sims, VK. For whom is a picture worth a thousand words? Extensions of a dual-coding theory of multimedia learning. J Educ Psychol 1994;86:389. https://doi.org/10.1037/0022-0663.86.3.389.Search in Google Scholar
62. Lee, EA-L, Wong, KW. Learning with desktop virtual reality: low spatial ability learners are more positively affected. Comput Educ 2014;79:49–58. https://doi.org/10.1016/j.compedu.2014.07.010.Search in Google Scholar
63. Kalyuga, S. Knowledge elaboration: a cognitive load perspective. Learn Instruct 2009;19:402–10. https://doi.org/10.1016/j.learninstruc.2009.02.003.Search in Google Scholar
64. Khacharem, A, Zoudji, B, Kalyuga, S. Expertise reversal for different forms of instructional designs in dynamic visual representations. Br J Educ Technol 2014;46:756–67. https://doi.org/10.1111/bjet.12167.Search in Google Scholar
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