2015
DOI: 10.3758/s13414-015-1040-0
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Category-specific learned attentional bias to object parts

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 et al., 2014). 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 … Show more

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Cited by 10 publications
(13 citation statements)
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“…This is the first meta-analytic evidence that the bias in probabilistic cuing is effectively reduced when the spatial distribution of the target becomes unbiased. These results are consistent with some individual studies reporting the same pattern (e.g., Chua & Gauthier, 2016;Giménez-Fernández et al, 2020;Jiang & Won, 2015). We hypothesized that one of the reasons why some empirical studies might have failed to detect a decrease in probabilistic cuing during the unbiased stage is that most experiments do not include enough unbiased trials.…”
Section: Discussionsupporting
confidence: 90%
“…This is the first meta-analytic evidence that the bias in probabilistic cuing is effectively reduced when the spatial distribution of the target becomes unbiased. These results are consistent with some individual studies reporting the same pattern (e.g., Chua & Gauthier, 2016;Giménez-Fernández et al, 2020;Jiang & Won, 2015). We hypothesized that one of the reasons why some empirical studies might have failed to detect a decrease in probabilistic cuing during the unbiased stage is that most experiments do not include enough unbiased trials.…”
Section: Discussionsupporting
confidence: 90%
“…Levy, Heller, Banich, & Burton, 1983a;Luh et al, 1991;Yovel et al, 2008), in both cerebral hemispheres (Siman-Tov et al, 2007). Additionally, learned attentional biases related to the development of holistic face processing (Richler, Palmeri, & Gauthier, 2012), and object recognition expertise more generally (Chua, Richler, & Gauthier, 2014, could be instantiated with respect to LVF face parts (Chua & Gauthier, 2016). Such a bias might only occur when a whole "configurally intact" face is viewed, consistent with holistic processing of whole faces, which would be in line with our findings from Experiments 2b and 3.…”
Section: Lvf Half-face Prioritizationsupporting
confidence: 84%
“…This is the first meta-analytic evidence that the bias in probabilistic cuing is effectively reduced when the spatial distribution of the target becomes unbiased. These results are consistent with some individual studies reporting the same pattern (e.g., Chua & Gauthier, 2016;Giménez-Fernández et al, 2020;. Our results are also consistent with those reported in related visual learning paradigms.…”
Section: Discussionsupporting
confidence: 94%
“…The conclusion that the bias is not reduced when the unbiased stage is introduced rests on the finding that the region factor remains significant during this stage (Jiang, Swallow, & Rosembaum, 2013), or there is no interaction between region and stage (Jiang, Swallow, Rosembaum, & Herzig, 2013), or there is no interaction between block and region (Jiang et al, 2016) during the unbiased stage (which is composed of several trial blocks). Importantly, these results are not always observed; some studies have found no advantage for the rich region during (Chua & Gauthier, 2016) or at the end of the unbiased stage.…”
Section: Is Probabilistic Cuing An Inflexible Attentional Habit? a Meta-analytic Reviewmentioning
confidence: 89%