Work

Attentional mechanisms in light training tasks

Year: 2025
Type: article
Abstract: Introduction: In this study, we investigated the involvement of different aspects of attention in a light training task requiring fast physical responses to targets. Methods: Fifty adult participants carried out drills in SpeedPad, a Virtual Reality (VR) adaptation of the Batak Pro and the Fitlight Trainer systems commonly used by athletes of various sports. Participants also carried out three established cognitive tasks on a desktop computer: the Posner cueing task, a visual conjunction search task, and a Motion Object Tracking (MOT) task. Results: Results revealed significant correlations among performance on all four tasks, aligning with theoretical expectations. Regression analyses conducted for four array sizes in SpeedPad with 9, 15, 19, and 24 possible target locations, showed that the speed of attentional orienting to a target, measured with the Posner cueing task, was a significant predictor of SpeedPad performance across all array sizes. Accuracy in the MOT, which required splitting attention across multiple target locations and tracking moving targets, significantly predicted SpeedPad performance for array sizes 15, 19, and 24. However, the speed of visual search did not account for additional variance in SpeedPad performance beyond that explained by the other variables. Discussion: Overall, our results indicate that light training tasks like the SpeedPad rely on the efficient deployment of cognitive processes such as the spatial orienting of attention and the ability to split attention across multiple locations in the environment. These findings highlight the importance of cognitive skills for reacting fast to objects, suggesting that VR light training tasks could serve as valuable tools for exercising both cognitive and physiological processes in athletes across various sports.
Authors: Andria Shimi, Theofanis Kyriacou, Marios N. Avraamides
Language: English
Field: Psychology
Open Access status: gold
Estimated APC paid: $2,353
OpenAlex ID: W4413437334
FWCI: 2.03
Cites: 23
Cited by: 1
Related to: 10