title: Statistical decision theory and the selection of rapid, goal-directed movements.
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.
authors.affiliation: Department of Psychology, Center for Neural Science, New York University, New York, New York 10003, USA. trommer@cns.nyu.edu
authors.forename: Julia
authors.initials: J
authors.lastname: Trommershäuser
authors.forename: Laurence T
authors.initials: LT
authors.lastname: Maloney
authors.forename: Michael S
authors.initials: MS
authors.lastname: Landy
mesh_terms: D000328:Adult; D003662:Decision Theory; D005260:Female; D006040:Goals; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D009068:Movement / Q000502:physiology*; D013997:Time Factors