Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/58418
Type: Conference paper
Title: Using sequential structure to improve visuomotor control
Author: Ma-Wyatt, A.
Navarro, D.
Citation: Proceedings of the 31st Annual Conference of the Cognitive Science Society (COGSCI 2009): pp.1424-1429
Publisher: Cognitive Science Society
Publisher Place: Netherlands
Issue Date: 2009
ISBN: 9780976831853
Conference Name: Annual Conference of the Cognitive Science Society (31st : 2009 : Amsterdam, The Netherlands)
Statement of
Responsibility: 
Anna Ma-Wyatt and Daniel Navarro
Abstract: In daily life, people make rapid, goal-directed movements to interact with their environment. Since these movements are goal-directed, the outcome of the movement is important. A plan is typically formulated to make the movement using visual information about target location before the movement is initiated. However, in dynamic environments people need to track the location of an object if it moves during the reach. Additionally, it would be beneficial to motor performance to learn the distribution of target locations over multiple reaches. In this paper we develop a simple model that describes how people might exploit the sequential structure over a series of trials to improve rapid visuomotor control. We then present empirical data from a sequential tracking task that investigates how people's knowledge of the location of objects is updated over trials to improve pointing performance. The model is able to predict when people will hit and miss targets with reasonable success. Interestingly, the results suggest that not only are people able to use sequential information but also look for it even when it does not exist.
Keywords: visuo-motor control; Bayesian models; sequential learning
Rights: © the authors
RMID: 0020097166
Appears in Collections:Psychology publications

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