ArticlePloS one2025
Visual attention and response time to distinguish athletes from non-athletes: A virtual reality study.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Spatial Orientation in a Cue-Target Task: Effects of Distance, Cue Direction, and Swimming Training Background.Behavioral sciences (Basel, Switzerland) · 2026Article
- Visual, Vestibular, and Somatosensory Function in Female Rugby League Athletes.Sports (Basel, Switzerland) · 2026Article
- Visio-spatial intelligence in athletes: comparison of field hockey players and non-athletes.Medical hypothesis, discovery & innovation ophthalmology journal · 2026Article
- Frequency-specific resting-state EEG modulation during eyes-closed and eyes-open transitions in female soccer players.Frontiers in psychology · 2026Article
- Physical function evaluation in volleyball training based on intelligent GRNN.Scientific reports · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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