Abstract
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.
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