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Statistical Properties Demand as Much Attention as Object Features

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  • Liqiang Huang

Abstract

Recent studies have argued that the statistical properties of a set of visual items can be extracted with little or even no cost. In the present study, observers (N = 188) performed a color task and an orientation task, and the attention effect was measured as the advantage of pre-cueing one of the two tasks. The color and orientation tasks required participants to report either an object feature or the mean of a 4×4 array (i.e., statistical property). The pre-cueing advantages were approximately equal regardless of the nature of the tasks (object features vs. statistical properties), providing evidence that statistical properties are not perceived with zero cost, but demand as much attention as object features.

Suggested Citation

  • Liqiang Huang, 2015. "Statistical Properties Demand as Much Attention as Object Features," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-9, August.
    • Handle: RePEc:plo:pone00:0131191
    DOI: 10.1371/journal.pone.0131191
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    Cited by:

    1. Igor S. Utochkin & Vladislav A. Khvostov & Yulia M. Stakina, 2017. "Ensemble-Based Segmentation in the Perception of Multiple Feature Conjunctions," HSE Working papers WP BRP 78/PSY/2017, National Research University Higher School of Economics.
    2. Igor S Utochkin & Konstantin O Vostrikov, 2017. "The numerosity and mean size of multiple objects are perceived independently and in parallel," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-20, September.

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