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    Figural properties are prioritized for search under conditions of uncertainty: Setting boundary conditions on claims that figures automatically attract attention

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    Name:
    PetersonEtAlAP&Pinpress2016.pdf
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    Description:
    Final Accepted Manuscript
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    Author
    Peterson, Mary A.
    Mojica, Andrew J.
    Salvagio, Elizabeth
    Kimchi, Ruth
    Affiliation
    Psychology Department, University of Arizona
    Cognitive Science Program, University of Arizona
    Issue Date
    2016-10-28
    Keywords
    Selective attention
    Grouping
    Figure-ground segregation
    Perceptual organization
    
    Metadata
    Show full item record
    Publisher
    SPRINGER
    Citation
    Figural properties are prioritized for search under conditions of uncertainty: Setting boundary conditions on claims that figures automatically attract attention 2016, 79 (1):180 Attention, Perception, & Psychophysics
    Journal
    Attention, Perception, & Psychophysics
    Rights
    © The Psychonomic Society, Inc. 2016.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Nelson and Palmer (2007) concluded that figures/figural properties automatically attract attention, after they found that participants were faster to detect/discriminate targets appearing where a portion of a familiar object was suggested in an otherwise ambiguous display. We investigated whether these effects are truly automatic and whether they generalize to another figural property-convexity. We found that Nelson and Palmer's results do generalize to convexity, but only when participants are uncertain regarding when and where the target will appear. Dependence on uncertainty regarding target location/timing was also observed for familiarity. Thus, although we could replicate and extend Nelson and Palmer's results, our experiments showed that figures do not automatically draw attention. In addition, our research went beyond Nelson and Palmer's, in that we were able to separate figural properties from perceived figures. Because figural properties are regularities that predict where objects lie in the visual field, our results join other evidence that regularities in the environment can attract attention. More generally, our results are consistent with Bayesian theories in which priors are given more weight under conditions of uncertainty.
    Note
    12 month embargo; First Online: 28 October 2016
    ISSN
    1943-3921
    1943-393X
    DOI
    10.3758/s13414-016-1223-3
    Version
    Final accepted manuscript
    Sponsors
    NSF BCS [0960529]; ONR [N00014-14-1-067]
    Additional Links
    http://link.springer.com/10.3758/s13414-016-1223-3
    ae974a485f413a2113503eed53cd6c53
    10.3758/s13414-016-1223-3
    Scopus Count
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    UA Faculty Publications

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