Abstract

Previous studies have shown that the perceptual organization of the visual scene constrains the deployment of attention. Here we investigated how the organization of multiple elements into larger configurations alters their attentional weight, depending on the “pertinence” or behavioral importance of the elements’ features. We assessed object-based effects on distinct aspects of the attentional priority map: top-down control, reflecting the tendency to encode targets rather than distracters, and the spatial distribution of attention weights across the visual scene, reflecting the tendency to report elements belonging to the same rather than different objects. In 2 experiments participants had to report the letters in briefly presented displays containing 8 letters and digits, in which pairs of characters could be connected with a line. Quantitative estimates of top-down control were obtained using Bundesen’s Theory of Visual Attention (1990). The spatial distribution of attention weights was assessed using the “paired response index” (PRI), indicating responses for within-object pairs of letters. In Experiment 1, grouping along the task-relevant dimension (targets with targets and distracters with distracters) increased top-down control and enhanced the PRI; in contrast, task-irrelevant grouping (targets with distracters) did not affect performance. In Experiment 2, we disentangled the effect of target-target and distracter-distracter grouping: Pairwise grouping of distracters enhanced top-down control whereas pairwise grouping of targets changed the PRI. We conclude that object-based perceptual representations interact with pertinence values (of the elements’ features and location) in the computation of attention weights, thereby creating a widespread pattern of attentional facilitation across the visual scene.

Highlights

  • We investigated how object-based perceptual representations interact with feature-based pertinence values to shape distinct aspects of the attentional priority map: the spatial distribution of

  • We demonstrated evidence for spreading suppression directly through parameter estimates within the TVA framework

  • We used the unified framework of TVA to parametrize for each participant top-down control, that is, the tendency to assign higher attentional weights to targets relative to distracters (␣), and advanced mathematical analysis of the distribution of the correctly reported letters across the visual field (PRI) to assess the spatial distribution of attentional weights

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Summary

Objectives

The aim of the current study was to formally assess how object-based representations interact with pertinence values to shape the attentional priority map of a multielement display

Methods
Results
Conclusion

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