@article{ref1,
title="Visuomotor strategies for collision avoidance in athletes: insights from virtual reality",
journal="Journal of science and medicine in sport",
year="2024",
author="Kiefer, Adam W. and Aitcheson-Huehn, Nikki and Armitano-Lago, Cortney N. and MacPherson, Ryan and Willoughby, Dominic and Silva, Paula L.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="This study explores visuomotor control in athletes for collision avoidance using virtual reality. Thirty-nine athletes navigated dynamic scenarios, pursuing a virtual target while avoiding two to five virtual defenders. Confirmatory Factor Analysis validated a model that captured two features of scanning behavior based on head movements recorded during activity: the overall amount and temporal pattern. Linear mixed models showed that these features significantly differentiated successful from unsuccessful defender avoidance (p < .05), suggesting that efficient environmental scanning is crucial for collision avoidance while highlighting the potential of visuomotor interventions to reduce collision-related sport injuries.<p /> <p>Language: en</p>",
language="en",
issn="1440-2440",
doi="10.1016/j.jsams.2024.07.011",
url="http://dx.doi.org/10.1016/j.jsams.2024.07.011"
}