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.
© 2003 Optical Society of America
Original Manuscript: October 1, 2002
Revised Manuscript: January 30, 2003
Manuscript Accepted: January 30, 2003
Published: July 1, 2003
Julia Trommershäuser, Laurence T. Maloney, and Michael S. Landy, "Statistical decision theory and the selection of rapid, goal-directed movements," J. Opt. Soc. Am. A 20, 1419-1433 (2003)