English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction

MPS-Authors
/persons/resource/persons229764

Jacoby,  Nori
Research Group Computational Auditory Perception, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Langlois, T., Jacoby, N., Suchow, J., & Griffiths, T. (2019). Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. In A. Goel, C. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 2078-2083). Montreal, QB: Cognitive Science Society.


Cite as: https://hdl.handle.net/21.11116/0000-0012-3141-B
Abstract
The internal representations of three dimensional objects
within visual memory are only partially understood. Previous
research suggests that 3D object perception is viewpoint de-
pendent, and that the visual system stores viewpoint perspec-
tives in a biased manner. The aim of this project was to ob-
tain detailed estimates of the distributions of 3D object views
in shared human memory. We devised a novel experimental
paradigm based on transmission chains to investigate memory
biases for the 3D orientation of objects. We found that memory
tends to be biased towards orthogonal diagrammatic perspec-
tives aligned with the ends of the standard basis for a set of
common 3D objects, and that these biases are strongest for side
views as well as top or bottom views for a small set of bilater-
ally symmetric objects. Finally, we found that views sampled from the modes were easier to categorize in a recognition task