Statistical decision theory and the selection of rapid, goal-directed movements
Statistical decision theory and the selection of rapid, goal-directed movements
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DOI：
10.1364/josaa.20.001419
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发表时间：
2003-07-01
影响因子：
1.9
通讯作者：
Landy, MS
中科院分区：
文献类型：
--
作者：
Trommershäuser, J;Maloney, LT;Landy, MS
我们提出了两个实验，测试的运动规划模型（MEGaMove）的适用范围的统计决策理论的基础上。受试者试图通过快速触摸计算机屏幕上的绿色目标区域同时避开附近的红色惩罚区域来赚钱。在两个实验中，我们改变了惩罚的大小，目标和惩罚区域的重叠程度，以及惩罚区域的数量。总体而言，受试者采取行动，以最大限度地提高收益，在各种各样的刺激配置，与模型的预测很好的协议。(C)2003年美国光学学会。
We present two experiments that test the range of applicability of a movement planning model (MEGaMove) based on statistical decision theory. Subjects attempted to earn money by rapidly touching a green target region on a computer screen while avoiding nearby red penalty regions. In two experiments we varied the magnitudes of penalties, the degree of overlap of target and penalty regions, and the number of penalty regions. Overall, subjects acted so as to maximize gain in a wide variety of stimulus configurations, in good agreement with predictions of the model. (C) 2003 Optical Society of America.