Abstract

Ensemble perception refers to awareness of average properties, e.g. size, of “noisy” elements that often comprise visual arrays in natural scenes. Here, we asked how ensemble perception might be influenced when some but not all array elements are associated with monetary reward. Previous studies show that reward associations can speed object processing, facilitate selection, and enhance working-memory maintenance, suggesting they may bias ensemble judgments. To investigate, participants reported the average element size of brief arrays of different-sized circles. In the learning phase, all circles had the same color, but different colors produced high or low performance-contingent rewards. Then, in an unrewarded test phase, arrays comprised three spatially inter-mixed subsets, each with a different color, including the high-reward color. In different trials, the mean size of the subset with the high-reward color was smaller, larger, or the same as the ensemble mean. Ensemble size estimates were significantly biased by the high-reward-associated subset, showing that value associations modulate ensemble perception. In the test phase of a second experiment, a pattern mask appeared immediately after array presentation to limit top-down processing. Not only was value-biasing eliminated, ensemble accuracy improved, suggesting that value associations distort consciously available ensemble representation via late high-level processing.

Highlights

  • The world is rich with visual redundancy; in most natural scenes, similar objects occur many times simultaneously

  • This study demonstrated that even with set sizes well beyond what is considered the capacity for selective attention and working memory (WM) of around four items (Luck & Vogel, 1997; Pylyshyn & Storm, 1988), the visual system is proficient at coding and synthesizing information, even without high-level representation of individual items

  • If value associations of individual elements in the array were available relatively early in processing and were able to boost neural representations, the contribution of reward-associated elements might be more heavily weighted than non-rewardassociated elements by the statistical averaging mechanism

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Summary

Introduction

The world is rich with visual redundancy; in most natural scenes, similar objects occur many times simultaneously. Reward-associated objects are more likely to distract task-relevant processing (Anderson, Laurent, & Yantis, 2011a, 2011b; Hickey, Chelazzi, & Theeuwes, 2010; Maclean & Giesbrecht, 2015; Rutherford, O’Brien, & Raymond, 2010) more than similar, familiar yet motivationally neutral objects Some of these behavioral studies show reward effects even with very brief, masked exposures (O’Brien & Raymond, 2012) and with arrays of more than four items (Anderson et al, 2011a), suggesting that value associations may influence processing at early parallelprocessing stages. If value associations of individual elements in the array were available relatively early in processing (prior to ensemble representation) and were able to boost neural representations, the contribution of reward-associated elements might be more heavily weighted than non-rewardassociated elements by the statistical averaging mechanism In our experiments this should cause ensemble estimates for the entire array to be biased in favor of the valueassociated subset’s size. We observed value-biasing of ensemble estimation when the array exposure was not masked and abolished this effect when a mask was presented

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