Fundamental units of numerosity estimation.
Approximate number system
Gestalt grouping
Numerical cognition
Numerosity estimation
Visual perception
Journal
Cognition
ISSN: 1873-7838
Titre abrégé: Cognition
Pays: Netherlands
ID NLM: 0367541
Informations de publication
Date de publication:
10 2023
10 2023
Historique:
received:
23
10
2022
revised:
22
05
2023
accepted:
13
07
2023
medline:
14
8
2023
pubmed:
25
7
2023
entrez:
24
7
2023
Statut:
ppublish
Résumé
Humans can approximately enumerate a large number of objects at a single glance. While several mechanisms have been proposed to account for this ability, the fundamental units over which they operate remain unclear. Previous studies have argued that estimation mechanisms act only on topologically distinct units or on units formed by spatial grouping cues such as proximity and connectivity, but not on units grouped by similarity. Over four experiments, we tested this claim by systematically assessing and demonstrating that similarity grouping leads to underestimation, just as spatial grouping does. Ungrouped objects with the same low-level properties as grouped objects did not cause underestimation. Further, the underestimation caused by spatial and similarity grouping was additive, suggesting that these grouping processes operate independently. These findings argue against the proposal that estimation mechanisms operate solely on topological units. Instead, we conclude that estimation processes act on representations constructed after Gestalt grouping principles, whether similarity based or spatial, have organised incoming visual input.
Identifiants
pubmed: 37487302
pii: S0010-0277(23)00199-3
doi: 10.1016/j.cognition.2023.105565
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
105565Informations de copyright
Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.