Abstract

Previous studies have provided evidence that selective attention tends to prioritize the processing of stimuli that are good predictors of upcoming events over nonpredictive stimuli. Moreover, studies using eye-tracking to measure attention demonstrate that this attentional bias towards predictive stimuli is at least partially under voluntary control and can be flexibly adapted via instruction. Our experiment took a similar approach to these prior studies, manipulating participants’ experience of the predictiveness of different stimuli over the course of trial-by-trial training; we then provided explicit verbal instructions regarding stimulus predictiveness that were designed to be either consistent or inconsistent with the previously established learned predictiveness. Critically, we measured the effects of training and instruction on attention to stimuli using a dot probe task, which allowed us to assess rapid shifts of attention (unlike the eye-gaze measures used in previous studies). Results revealed a rapid attentional bias towards stimuli experienced as predictive (versus those experienced as nonpredictive), that was completely unaffected by verbal instructions. This was not due to participants’ failure to recall or use instructions appropriately, as revealed by analyses of their learning about stimuli, and their memory for instructions. Overall, these findings suggest that rapid attentional biases such as those measured by the dot probe task are more strongly influenced by our prior experience during training than by our current explicit knowledge acquired via instruction.

Highlights

  • Attention and predictive learning are intimately related in a bidirectional way

  • Consistent with the argument that we advanced earlier, these findings demonstrate that rapid attentional biases that can be detected at short stimulus-onset asynchrony (SOA) might go undetected in tasks that measure

  • Our study departed from the procedure of Mitchell et al by using a within-subjects manipulation of verbal instructions, in order to increase the sensitivity of the experiment

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Summary

Introduction

Attention and predictive learning are intimately related in a bidirectional way. We learn more from attended stimuli than from unattended stimuli that are present concurrently in the environment [1,2,3]: That is, attention influences learning. Experienced predictiveness and attentional bias and 2017-T1/SOC-5147 (DL) from the Gobierno de la Comunidad de Madrid The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

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