Grouping-Induced Numerosity Biases Vary with Autistic-Like Personality Traits.
Antonella Pomè, Camilla Caponi, David Charles Burr
PMID 33909210WHAT IT FOUND
Neurotypical adults with higher autistic-like traits were less fooled by a visual illusion where connected dots appear less numerous.
Their perception relied more on individual details than global grouping, though their ability to count accurately was identical to peers.
Key findings
01Participants with higher autistic-like traits showed significantly less underestimation bias for connected dot patterns at low to moderate numerosities compared to those with lower traits.
02There was no significant correlation between autistic-like traits and the visual illusion effect when the dot density was high (100 dots).
03Discrimination precision (Weber fraction) was similar between groups with high and low autistic-like traits, indicating the difference in grouping was not due to general difficulty with numerical tasks.
STILL TO COME
How it was doneWhat they found
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What it does not show
The study was conducted on neurotypical adults, not individuals diagnosed with Autism Spectrum Disorder (ASD). The authors note that the goal is to see if these effects extend to clinical populations in future work. The sample size was small (21 participants). The participants were psychology students, which may limit the generalizability of the findings to the broader population. The study used a self-report measure (AQ) to define groups, not a clinical diagnosis.
Declared interests
Funded by the H2020 European Research Council and Università degli Studi di Firenze. No specific conflicts of interest declared by authors.
The easy way to misread this
Do not assume this study proves that individuals with ASD have impaired global processing or counting abilities. The study shows a difference in how neurotypical people with high autistic traits perceive grouping, but their actual counting precision was normal. The findings apply to subclinical traits in a small sample of students, not necessarily to diagnosed patients.