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Grouping-Induced Numerosity Biases Vary with Autistic-Like Personality Traits.

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Title: Grouping-Induced Numerosity Biases Vary with Autistic-Like Personality Traits.
Authors: Pomè, Antonella, Caponi, Camilla, Burr, David Charles
Source: Journal of Autism & Developmental Disorders. Mar2022, Vol. 52 Issue 3, p1326-1333. 8p. 1 Diagram, 3 Graphs.
Subjects: Personality disorders, Sensory perception, Paradigms (Social sciences), Autism, Descriptive statistics
Abstract: Individuals with autism spectrum disorder are thought to have a more local than global perceptual style. We used a novel paradigm to investigate how grouping-induced response biases in numerosity judgments depend on autistic-like personality traits in neurotypical adults. Participants judged the numerosity of clouds of dot-pairs connected by thin lines, known to cause underestimation of numerosity. The underestimation bias correlated strongly with autism-spectrum quotient (r = 0.72, Bayes factor > 100), being weaker for participants with high autistic traits. As connecting dots probably activates global grouping mechanisms, causing dot-pairs to be processed as an integrated whole rather than as individual dots, the results suggest that these grouping mechanisms may be weaker in individuals self-reporting high levels of autistic-like traits. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Grouping-Induced Numerosity Biases Vary with Autistic-Like Personality Traits.
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  Data: <searchLink fieldCode="AR" term="%22Pomè%2C+Antonella%22">Pomè, Antonella</searchLink><br /><searchLink fieldCode="AR" term="%22Caponi%2C+Camilla%22">Caponi, Camilla</searchLink><br /><searchLink fieldCode="AR" term="%22Burr%2C+David+Charles%22">Burr, David Charles</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. Mar2022, Vol. 52 Issue 3, p1326-1333. 8p. 1 Diagram, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Personality+disorders%22">Personality disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+perception%22">Sensory perception</searchLink><br /><searchLink fieldCode="DE" term="%22Paradigms+%28Social+sciences%29%22">Paradigms (Social sciences)</searchLink><br /><searchLink fieldCode="DE" term="%22Autism%22">Autism</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink>
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  Data: Individuals with autism spectrum disorder are thought to have a more local than global perceptual style. We used a novel paradigm to investigate how grouping-induced response biases in numerosity judgments depend on autistic-like personality traits in neurotypical adults. Participants judged the numerosity of clouds of dot-pairs connected by thin lines, known to cause underestimation of numerosity. The underestimation bias correlated strongly with autism-spectrum quotient (r = 0.72, Bayes factor > 100), being weaker for participants with high autistic traits. As connecting dots probably activates global grouping mechanisms, causing dot-pairs to be processed as an integrated whole rather than as individual dots, the results suggest that these grouping mechanisms may be weaker in individuals self-reporting high levels of autistic-like traits. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10803-021-05029-1
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      – SubjectFull: Paradigms (Social sciences)
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              Text: Mar2022
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