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. copy; 2003 Optical Society of America.
Original language | English (US) |
---|---|
Pages (from-to) | 1419-1433 |
Number of pages | 15 |
Journal | Journal of the Optical Society of America A: Optics and Image Science, and Vision |
Volume | 20 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2003 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition