Number estimation relies on a set of segmented objects

DSpace/Manakin Repository

Number estimation relies on a set of segmented objects

Citable link to this page

 

 
Title: Number estimation relies on a set of segmented objects
Author: Franconeri, Steven L.; Bemis, Douglas K.; Alvarez, George Angelo

Note: Order does not necessarily reflect citation order of authors.

Citation: Franconeri, S.L., D.K. Bemis, and G.A. Alvarez. 2009. “Number Estimation Relies on a Set of Segmented Objects.” Cognition 113 (1) (October): 1–13. doi:10.1016/j.cognition.2009.07.002.
Access Status: Full text of the requested work is not available in DASH at this time (“dark deposit”). For more information on dark deposits, see our FAQ.
Full Text & Related Files:
Abstract: How do we estimate the number of objects in a set? Two types of visual representations might underlie this ability – an unsegmented visual image or a segmented collection of discrete objects. We manipulated whether individual objects were isolated from each other or grouped into pairs by irrelevant lines. If number estimation operates over an unsegmented image, then this manipulation should not affect estimates. But if number estimation relies on a segmented image, then grouping pairs of objects into single units should lead to lower estimates. In Experiment 1 participants underestimated the number of grouped objects, relative to disconnected objects in which the connecting lines were ‘broken’. Experiment 2 presents evidence that this segmentation process occurred broadly across the entire set of objects. In Experiment 3, a staircase procedure provides a quantitative measure of the underestimation effect. Experiment 4 shows that the strength of the grouping effect was equally strong for a single thin line, and the effect can be eliminated by a small break in the line. These results provide direct evidence that number estimation relies on a segmented input.
Published Version: doi:10.1016/j.cognition.2009.07.002
Other Sources: http://visionlab.harvard.edu/Members/George/abstract-024_files/Franconeri_etal-2009-Cognition.pdf
https://files.nyu.edu/dkb233/public/Downloads/Franconeri%20et%20al.%20(2009).pdf
http://www.psych.northwestern.edu/~franconeri/lab/publications/Franconeri_NumberSegmentation.pdf
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:33010432
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters