Visual attention and response time to distinguish athletes from non-athletes: A virtual reality study

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Publié dans:PLoS One vol. 20, no. 5 (May 2025), p. e0324159
Auteur principal: Imperiali, Lucia
Autres auteurs: Borghi, Stefano, Bizzozero, Sara, Prandoni, Elena, Bisio, Ambra, Antonio La Torre, Codella, Roberto
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Public Library of Science
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022 |a 1932-6203 
024 7 |a 10.1371/journal.pone.0324159  |2 doi 
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100 1 |a Imperiali, Lucia 
245 1 |a Visual attention and response time to distinguish athletes from non-athletes: A virtual reality study 
260 |b Public Library of Science  |c May 2025 
513 |a Journal Article 
520 3 |a In recent years, cutting-edge technologies have been increasingly integrated into sports to assess physical and cognitive capacities. Virtual Reality (VR) technology has emerged as a powerful tool, offering an immersive and controlled scenario for examining cognitive functions. In light of the growing adoption of VR-systems, this study aimed to investigate the differences in visual attention and response time (RT) between athletes and non-athletes utilizing a VR-system and evaluate the discriminatory power of VR assessments towards the two groups. Sixty-one participants (Age: 22 ± 1.8years; athletes = 33, non-athletes = 28) underwent two visual attention evaluations through the Multiple Object Tracking (MOT) paradigm and three RT evaluations, all within a fully immersive VR environment. The visual attention assessments included the “MOT Assessment” (MOT), which did not have a primary target to select, and the “MOT, Primary Target Onset” (MOT-PT), which required selecting a primary target. The three RT evaluations included Continuous RT (RT-C), RT with Inter-Time between stimuli (RT-I), and Go No-Go RT (RT-GNG). In all RT assessments, participants aimed to touch the target that turned green in the shortest time as possible. In the RT-GNG test, participants responded to green targets by touching them with the hand controllers and refrained from touching red targets. No differences were found between athletes and non-athletes in visual attention tasks. However, athletes outperformed non-athletes in RT assessments (RT-C: 504.8 ± 45.9ms vs. 549.1 ± 45.6ms; p < 0.001. RT-I: 481.1 ± 44.9ms vs. 534.2 ± 58.6ms; p < 0.001. RT-GNG: 502.9 ± 38.8ms vs. 555.6 ± 57.8ms; p < 0.001). ROC curve analysis demonstrated moderate accuracy in differentiating athletes from non-athletes in RT assessments (RT-C: AUC = 0.75, p < 0.001; RT-I: AUC = 0.75, p < 0.001; RT-GNG: AUC = 0.80, p < 0.001). These findings underscore the significant role of RT in distinguishing athletes from non-athletes and highlight the discriminative potential of VR-systems as valuable tools in sports evaluation. Including RT assessments into traditional training regimens could offer new insights for evaluating athletic performance. 
651 4 |a Italy 
653 |a Cognitive ability 
653 |a Visual tasks 
653 |a Software 
653 |a Visual perception 
653 |a Assessments 
653 |a Performance evaluation 
653 |a Virtual reality 
653 |a Brain research 
653 |a Volleyball 
653 |a Athletes 
653 |a Attention 
653 |a Computer applications 
653 |a Multiple target tracking 
653 |a Response time 
653 |a Visual stimuli 
653 |a Skills 
653 |a Athletic performance 
653 |a Social 
700 1 |a Borghi, Stefano 
700 1 |a Bizzozero, Sara 
700 1 |a Prandoni, Elena 
700 1 |a Bisio, Ambra 
700 1 |a Antonio La Torre 
700 1 |a Codella, Roberto 
773 0 |t PLoS One  |g vol. 20, no. 5 (May 2025), p. e0324159 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3207182447/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3207182447/fulltext/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3207182447/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch