People are better at maximizing expected gain in a manual aiming task with rapidly changing probabilities than with rapidly changing payoffs

Journal of Neurophysiology
Heather F Neyedli, Timothy N Welsh

Abstract

Previous research has shown that humans can select movements that achieve their goals, while avoiding negative outcomes, by selecting an "optimal movement endpoint." This optimal endpoint is modeled based on the participants' endpoint variability and the payoffs associated with the target and penalty regions within the environment. Although the values associated with our goals vary on a moment-to-moment basis in our daily interactions, the adaptation of endpoint selection to changing payoffs in laboratory-based tasks has been examined by varying contexts between blocks of trials. The present study was designed to determine whether participants adjust endpoints and aim to optimal endpoints and whether performance differs when probability or payoff parameters change from trial to trial. Participants aimed to a target circle that was partially overlapped by a penalty circle. They received 100 points for hitting the target and lost points for hitting the penalty area. The magnitude of the penalty value or the distance between the centers of the circles (related to the probability of target and penalty contact) was changed randomly from trial to trial in separate blocks. Results revealed that participants shifted their endpoint and ...Continue Reading

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Citations

Jul 10, 2014·The Quarterly Journal of Experimental Psychology : QJEP·Heather F Neyedli, Timothy N Welsh
May 10, 2017·Journal of Motor Behavior·Heather F Neyedli, Kevin A LeBlanc
Jun 23, 2020·The Quarterly Journal of Experimental Psychology : QJEP·Joseph X ManzoneTimothy N Welsh
Dec 16, 2017·Experimental Brain Research·Kevin JarboTimothy D Verstynen
Sep 12, 2021·Psychonomic Bulletin & Review·Tyler AdkinsTaraz Lee

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