Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Connecting Visual Objects Reduces Perceived Numerosity and Density for Sparse but not Dense Patterns

Articolo
Data di Pubblicazione:
2017
Abstract:
How is numerosity encoded by the visual system? - directly, or derived indirectly from texture density? We recently suggested that the numerosity of sparse patterns is encoded directly by dedicated mechanisms (which have been described as the "Approximate Number System" ANS). However, at high dot densities, where items become "crowded" and difficult to segregate, "texture-density" mechanisms come into play. Here we tested the importance of item segmentation on numerosity and density perception at various stimulus densities, by measuring the effect of connecting visual objects with thin lines. The results confirmed many previous studies showing that connecting items robustly reduces the apparent numerosity of patterns of moderate density. We further showed that the apparent density of moderatedensity patterns is also reduced by connecting the dots. Crucially, we found that both these effects are strongly reduced at higher numerosities. Indeed for density judgments, the effect reverses, so connecting dots in dense patterns increases the apparent density (as expected from the physical characteristics). The results provide clear support for the three-regime framework of number perception, and suggest that for moderately sparse stimuli, numerosity - but not texture-density - is perceived directly.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
numerical cognition; Approximate Number System; numerosity discrimination; numerosity perception; texture-density; texture perception; visual segmentation
Elenco autori:
Cicchini, GUIDO MARCO
Autori di Ateneo:
CICCHINI GUIDO MARCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/347855
Pubblicato in:
JOURNAL OF NUMERICAL COGNITION
Journal
  • Dati Generali

Dati Generali

URL

https://jnc.psychopen.eu/article/view/38
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)