Abstract

While seminal theories suggest that nonsymbolic visual numerosity is mainly extracted from segmented items, more recent views advocate that numerosity cannot be processed independently of nonnumeric continuous features confounded with the numerical set (i.e., such as the density, the convex hull, etc.). To disentangle these accounts, here we employed two different visual illusions presented in isolation or in a merged condition (e.g., combining the effects of the two illusions). In particular, in a number comparison task, we concurrently manipulated both the perceived object segmentation by connecting items with Kanizsa-like illusory lines, and the perceived convex-hull/density of the set by embedding the stimuli in a Ponzo illusion context, keeping constant other low-level features. In Experiment 1, the two illusions were manipulated in a compatible direction (i.e., both triggering numerical underestimation), whereas in Experiment 2 they were manipulated in an incompatible direction (i.e., with the Ponzo illusion triggering numerical overestimation and the Kanizsa illusion numerical underestimation). Results from psychometric functions showed that, in the merged condition, the biases of each illusion summated (i.e., largest underestimation as compared with the conditions in which illusions were presented in isolation) in Experiment 1, while they averaged and competed against each other in Experiment 2. These findings suggest that discrete nonsymbolic numerosity can be extracted independently from continuous magnitudes. They also point to the need of more comprehensive theoretical views accounting for the operations by which both discrete elements and continuous variables are computed and integrated by the visual system.

Highlights

  • While seminal theories suggest that nonsymbolic visual numerosity is mainly extracted from segmented items, more recent views advocate that numerosity cannot be processed independently of nonnumeric continuous features confounded with the numerical set

  • Disentangling the contribution of discrete information from continuous visual features confounded with numerosity represents the main theoretical and experimental challenge to probe which visual mechanisms and sensory features are exploited by the approximate number system (ANS) to reach an approximate numerical representation (Gebuis et al, 2016; Leibovich et al, 2017)

  • No significant effect of the experimental illusion condition was found over the mean coeffienct of variation (CoV), F(3, 198) = 1.06, p = .36, ηp2 =

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Summary

Participants

Due to COVID-19 restrictions in Italy, the participants were recruited through Pavlovia (www.pavlovia.org), a repository. We kept constant the spatial position of all the single items in a given test pattern from the no-illusions set In this case a subset of “Pac-Man” items was appropriately rotated and aligned to prompt four ICs for the Kanizsa condition. The distance between the “Pac-Man” items that could prompt the required number of ICs for the connectedness (or Kanizsa) condition was randomly chosen among four possible values (center-to-center distance = 22, 25, 28, and 31 pixels) In this way, the 42 different reference patterns were associated with the same spatial pattern of test stimuli across the no-illusions and the Kanizsa illusion condition.

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