Effect of 3-D depth structure, element size, and area containing elements on total-element overestimation phenomenon.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 29 08 2023
accepted: 08 02 2024
medline: 27 2 2024
pubmed: 27 2 2024
entrez: 27 2 2024
Statut: epublish

Résumé

The number of elements distributed in a three-dimensional stimulus is overestimated compared to a two-dimensional stimulus when both stimuli have the same number of elements. We examined the effect of the properties of a three-dimensional stimulus (the number of overlapping stereo surfaces, size of the elements, and size of the area containing elements, on the overestimation phenomenon in four experiments. The two stimuli were presented side-by-side with the same diameters. Observers judged which of the three-dimensional standard and two-dimensional comparison had more elements. The results showed that (a) the overestimation phenomenon occurred for the three-dimensional standard stimuli, (b) the size of the areas affected the amount of overestimation, while the number of overlapping stereo surfaces and size of elements did not, and (c) the amount of overestimation increased when the stimuli included more than 100 elements. Implications of these findings were discussed in the framework of back-surface bias, occlusion, and disparity-processing interference models.

Identifiants

pubmed: 38412148
doi: 10.1371/journal.pone.0299307
pii: PONE-D-23-27033
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0299307

Informations de copyright

Copyright: © 2024 Matsuda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Yusuke Matsuda (Y)

Department of Applied Information Engineering, Faculty of Engineering, Suwa University of Science, Chino, Nagano, Japan.

Saori Aida (S)

Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Yamaguchi, Japan.

Koichi Shimono (K)

Department of Logistics and Information Engineering, Tokyo University of Marine Science and Technology, Koto-ku, Tokyo, Japan.

Classifications MeSH