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Original Articles

Separating value from selection frequency in rapid reaching biases to visual targets

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Pages 249-271 | Received 25 May 2014, Accepted 10 Oct 2014, Published online: 06 Dec 2014
 

Abstract

Stimuli associated with positive rewards in one task often receive preferential processing in a subsequent task, even when those associations are no longer relevant. Here we use a rapid reaching task to investigate these biases. In Experiment 1 we first replicated the learning procedure of Raymond and O'Brien (2009), for a set of arbitrary shapes that varied in value (positive, negative) and probability (20%, 80%). In a subsequent task, participants rapidly reached toward one of two shapes, except now the previously learned associations were irrelevant. As in the previous studies, we found significant reach biases toward shapes previously associated with a high probable, positive outcome. Unexpectedly, we also found a bias toward shapes previously associated with a low probable, negative outcome. Closer inspection of the learning task revealed a potential second factor that might account for these results; since a low probable negative shape was always paired with a high probable negative shape, it was selected with disproportionate frequency. To assess how selection frequency and reward value might both contribute to reaching biases we performed a second experiment. The results of this experiment at a group level replicated the reach-bias toward positively rewarding stimuli, but also revealed a separate bias toward stimuli that had been more frequently selected. At the level of individual participants, we observed a variety of preference profiles, with some participants biased primarily by reward value, others by frequency, and a few actually biased away from both highly rewarding and high frequency targets. These findings highlight that: (1) rapid reaching provides a sensitive readout of preferential processing; (2) target reward value and target selection frequency are separate sources of bias; and (3) group-level analyses in complex decision-making tasks can obscure important and varied individual differences in preference profiles.

The authors would like to acknowledge KL.T. and D.P. for help with data collection and J.L.C. for help during manuscript preparation. This work was supported by an NSERC Discovery Grant to J.T.E., a Killam Post-doctoral fellowship to C.S.C., and a Banting postdoctoral fellowship to J.P.G.

The authors would like to acknowledge KL.T. and D.P. for help with data collection and J.L.C. for help during manuscript preparation. This work was supported by an NSERC Discovery Grant to J.T.E., a Killam Post-doctoral fellowship to C.S.C., and a Banting postdoctoral fellowship to J.P.G.

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