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Hit me with your best shot: Optimal movement planning with constantly changing decision parameters.

机译:打给我最好的镜头:通过不断变化的决策参数实现最佳运动计划。

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Humans are able to rapidly select movements that will achieve the individuala??s goal while avoiding negative outcomes. Trommerh?¤user et al. (2003) showed that, in a rapid aiming task, people concentrated their movements around an a??optimal movement endpointa?? that was modeled based on the participantsa?? endpoint variability and the cost associated with a penalty circle that partially overlapped the target circle. Participants adjusted their endpoint when the penalty circle cost or distance between the two circles changed; however, penalty value only changed between blocks of trials. In typical daily interactions, the values associated with our movement goal vary. The purpose of the present study was to determine whether participants can adjust their endpoint when the distance between the target and penalty circles and the value of the penalty circle changed trial-to-trial. Participants aimed to a target circle in the presence of an overlapping penalty circle and received 100 points for contact with the target alone, and lost points for contact with the penalty region. In one block, the penalty circle for a given trial was either orange or red indicating that the cost was -100 or -600 points, respectively. In the other block, the penalty circle either overlapped the target circle by 9 or 13.5mm.There was a significant difference in endpoint between the two values within each distance and penalty block. However, when compared to the optimal endpoint calculated from the model, participants showed a significantly smaller shift in endpoint between the two penalty values, but an optimal shift in the distance block. We suggest participants are more optimal with a random changing of distance because the distance between the two circles is an intrinsic property of the visual stimuli, whereas the color associated with each the penalty value requires additional cognitive resources to interpret and predict the potential costs.
机译:人类能够快速选择能够实现个人目标的运动,同时避免负面结果。 Trommerh?user等。 (2003年)表明,在快速瞄准任务中,人们将运动集中在一个“最佳运动终点”上。那是根据参与者建模的?终点可变性以及与部分重叠目标圆的惩罚圆相关的成本。当罚圈成本或两个圈之间的距离改变时,参与者调整了终点。但是,惩罚值仅在各试验块之间改变。在典型的日常互动中,与我们的运动目标相关的值会有所不同。本研究的目的是确定当目标圆与惩罚圆之间的距离以及惩罚圆的值在试验之间变化时,参与者是否可以调整其终点。参与者在重叠的惩罚圈存在下瞄准目标圈,仅与目标接触就获得100分,而与惩罚区域接触则失去点。在一个区块中,给定试验的惩罚圈为橙色或红色,分别表示成本为-100或-600点。在另一个区块中,惩罚圆与目标圆重叠9或13.5mm,在每个距离和惩罚区块内的两个值的端点之间存在显着差异。但是,与从模型计算出的最佳端点相比,参与者在两个惩罚值之间的端点偏移显着较小,而距离块的偏移最佳。我们建议参与者随距离的随机变化而变得更理想,因为两个圆之间的距离是视觉刺激的固有属性,而与每个惩罚值相关的颜色需要额外的认知资源来解释和预测潜在成本。

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