EconPapers    
Economics at your fingertips  
 

The capacity limits of moving objects in the imagination

Halely Balaban () and Tomer D. Ullman
Additional contact information
Halely Balaban: The Open University of Israel
Tomer D. Ullman: Harvard University

Nature Communications, 2025, vol. 16, issue 1, 1-11

Abstract: Abstract People have capacity limits when tracking objects in direct perception. But how many objects can people track in their imagination? In nine pre-registered experiments (N = 313 total), we examine the capacity limits of mentally simulating the movement of objects in the mind’s eye. In a novel Imagined Objects Tracking task, participants continue the motion of animated objects in their mind up to a pre-defined point. When tracking one object in the imagination (Experiment 1a), participants give estimations in line with ground truth. But, when imagining two objects (Experiment 1b), behavior alters substantially: responses are fit best by the predictions of a Serial Model that simulates only one object at a time, as opposed to a Parallel Model that simulates objects in tandem. The serial bottleneck is not due to response/motor limitations (Experiment 2), and is reduced – but not eliminated – by adding extremely strong grouping cues (Experiment 3). Additional studies validate that seriality is found for naturalistic occlusion (Experiment 4) and hyper-simplified physics (Experiment 5), and is not due to factors like noise or lack of motivation (Experiments S1-S3). Altogether, we find that the capacity of moving imagined entities is likely restricted to a single object at a time.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-61021-8 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61021-8

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-61021-8

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-07-03
Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61021-8