Literature DB >> 26715512

Category-specific learned attentional bias to object parts.

Kao-Wei Chua1, Isabel Gauthier2.   

Abstract

Humans can selectively attend to information in visual scenes. Learning from previous experiences plays a role in how visual attention is subsequently deployed. For example, visual search times are faster in areas that are statistically more likely to contain a target (Jiang and Swallow in Cognition, 126(3), 378-390, 2013). Here, we examined whether similar attentional biases can be created for different locations on complex objects as a function of their category, based on a history of these locations containing a target. Subjects performed a visual search task in the context of novel objects called Greebles. The target appeared in one half (e.g., top) of the Greebles 89 % of the time and in the other half (e.g., bottom) 11 % of the time. We found a reaction time advantage when the target was located in a "target-rich" region, even after target location probabilities were equated. This indicates that attentional biases can be associated not only with regions of space but also with specific object features, or at least with locations in an object-based frame of reference.

Entities:  

Keywords:  Attention in complex objects; Learned attention; Probability cuing

Mesh:

Year:  2016        PMID: 26715512      PMCID: PMC5034354          DOI: 10.3758/s13414-015-1040-0

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  24 in total

1.  Item-specific control of automatic processes: stroop process dissociations.

Authors:  Larry L Jacoby; D Stephen Lindsay; Sandra Hessels
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2.  Guidance of spatial attention by incidental learning and endogenous cuing.

Authors:  Yuhong V Jiang; Khena M Swallow; Gail M Rosenbaum
Journal:  J Exp Psychol Hum Percept Perform       Date:  2012-04-16       Impact factor: 3.332

3.  Why it is too early to lose control in accounts of item-specific proportion congruency effects.

Authors:  Julie M Bugg; Larry L Jacoby; Swati Chanani
Journal:  J Exp Psychol Hum Percept Perform       Date:  2011-06       Impact factor: 3.332

4.  Visual expertise with pictures of cars correlates with RT magnitude of the car inversion effect.

Authors:  Bruno Rossion; Tim Curran
Journal:  Perception       Date:  2010       Impact factor: 1.490

5.  Thirty-something categorization results explained: selective attention, eyetracking, and models of category learning.

Authors:  Bob Rehder; Aaron B Hoffman
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2005-09       Impact factor: 3.051

6.  Spatial probability as an attentional cue in visual search.

Authors:  Joy J Geng; Marlene Behrmann
Journal:  Percept Psychophys       Date:  2005-10

7.  Stimulus-driven capture and attentional set: selective search for color and visual abrupt onsets.

Authors:  J Theeuwes
Journal:  J Exp Psychol Hum Percept Perform       Date:  1994-08       Impact factor: 3.332

8.  Spatial reference frame of incidentally learned attention.

Authors:  Yuhong V Jiang; Khena M Swallow
Journal:  Cognition       Date:  2012-12-31

9.  Extremely selective attention: eye-tracking studies of the dynamic allocation of attention to stimulus features in categorization.

Authors:  Mark R Blair; Marcus R Watson; R Calen Walshe; Fillip Maj
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2009-09       Impact factor: 3.051

Review 10.  Top-down versus bottom-up attentional control: a failed theoretical dichotomy.

Authors:  Edward Awh; Artem V Belopolsky; Jan Theeuwes
Journal:  Trends Cogn Sci       Date:  2012-07-12       Impact factor: 20.229

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  1 in total

1.  Is probabilistic cuing of visual search an inflexible attentional habit? A meta-analytic review.

Authors:  Tamara Giménez-Fernández; David Luque; David R Shanks; Miguel A Vadillo
Journal:  Psychon Bull Rev       Date:  2021-11-23
  1 in total

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