Biomedical Engineering Department, Anhembi University, São Paulo, SP, Brazil; Arena235 Research Lab, São José dos Campos, SP, Brazil; Center for Innovation, Technology and Education - CITE, Parque Tecnológico de São José dos Campos, São José dos Campos, SP, Brazil.
Arena235 Research Lab, São José dos Campos, SP, Brazil.
Hum Mov Sci. 2022 Feb;81:102895. doi: 10.1016/j.humov.2021.102895. Epub 2021 Nov 11.
An experiment was designed to determine the effects of sensory uncertainty on sensorimotor estimation in elite athletes compared to non-athletes. Nineteen elite athletes and 16 non-athletes were required to estimate when and where a cursor arrived at a target location. The cursor position was displayed through its entire trajectory in the certain condition while only briefly in the uncertain condition. Accuracy and variability in time and spatial domains were calculated. A Bayesian analysis using subsets of subjects' total spatial variance was also performed. The results indicated that athletes and non-athletes used estimation strategies consistent with Bayesian integration. The results also showed a decrease in variability for spatial performance for both groups during the uncertain condition compared to the certain condition, especially when the cursor location was further away from the prior mean. This decrease in variability was significantly greater for non-athletes. By concentrating performance around the end-point mean location, an increase in spatial error occurred. More spatial and timing errors were observed in non-athletes than athletes, indicating athletes were more certain about likelihood information or their interpretation of likelihood information than non-athletes. These results suggest that athletic experience may facilitate the use of probabilistic information for optimal sensorimotor estimations.
一项实验旨在确定感觉不确定性对精英运动员和非运动员的感觉运动估计的影响。要求 19 名精英运动员和 16 名非运动员估计光标何时何地到达目标位置。在确定条件下，光标位置在整个轨迹中显示，而在不确定条件下仅短暂显示。计算了时间和空间域中的准确性和可变性。还使用受试者总空间方差的子集进行了贝叶斯分析。结果表明，运动员和非运动员使用的估计策略与贝叶斯整合一致。结果还表明，与确定条件相比，两组在不确定条件下的空间表现的可变性降低，尤其是当光标位置远离先前的平均值时。非运动员的可变性降低更为明显。通过将表现集中在终点平均位置，空间误差增加。非运动员比运动员观察到更多的空间和时间错误，这表明运动员比非运动员更确定似然信息或他们对似然信息的解释。这些结果表明，运动经验可能有助于最佳感觉运动估计中使用概率信息。
