The configural advantage in object change detection persists across depth rotation

Simone K. FAVELLE*, William G. HAYWARD, Darren BURKE, Stephen PALMISANO

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

3 Citations (Scopus)


Although traditionally there has been a debate over whether object recognition involves 3-D structural descriptions or 2-D views, most current approaches to object recognition include the representation of object structure in some form. An advantage for the processing of structural or configural information in objects has been recently demonstrated using a change detection task (Keane, Hayward, & Burke, 2003). We report two experiments that extend this finding and show that configural information dominates change detection performance regardless of an object's orientation. Experiment 1 demonstrated the advantage that configural information has over shape and part arrangement information in change detection across four different object rotations in depth. Experiment 2 showed that this advantage occurs for both categorical and coordinate configural changes. These results are consistent with the hypothesis that configural information is a critical feature of object representations and that this information is utilized effectively in object recognition across changes in viewpoint.

Original languageEnglish
Pages (from-to)1254-1263
Number of pages10
JournalPerception and Psychophysics
Issue number8
Publication statusPublished - Nov 2006
Externally publishedYes

Bibliographical note

This research was partially supported by Grant CUHK4232/02H from the Hong Kong Research Grants Council.


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