Related Experiment Videos
Priming of depth-rotated objects depends on attention and part changes
1School of Psychology, University of East London, UK. v.thoma@uel.ac.uk
Experimental Psychology
|April 14, 2006
Summary
Attention influences object recognition. Attended objects use both part-based and view-based representations, while ignored objects rely strictly on view-dependent recognition, especially after depth rotation.
Area of Science:
- Cognitive Psychology
- Visual Perception
- Object Recognition
Background:
- Previous research suggests object recognition involves both view-dependent and view-invariant processes.
- The role of attention in modulating these processes, particularly during changes in object viewpoint, remains incompletely understood.
Purpose of the Study:
- To investigate how attention and changes in object viewpoint (depth rotation) affect object recognition.
- To differentiate between part-based (analytic) and view-based (holistic) representations in object recognition under varying attentional states.
Main Methods:
- Three priming experiments were conducted using prime-probe trial pairs with common objects.
- Objects were rotated in depth, and manipulations included attentional focus and changes in visible part structure.
- Priming effects were measured to assess recognition efficiency under different conditions.
Main Results:
- Attended objects showed reduced priming after depth-rotations that altered visible parts, suggesting a reliance on both analytic and holistic representations.
- Ignored objects exhibited a more significant reduction in priming following depth-rotations, indicating a strictly view-dependent recognition process.
- Depth rotations not altering perceived part structure resulted in similar priming reductions for both attended and ignored objects.
Conclusions:
- Object recognition for attended items involves a dual system: a part-based (analytic) system and a view-based (holistic) system.
- Ignored objects are recognized through a purely view-dependent mechanism.
- Attention plays a crucial role in determining the representational system engaged during object recognition, especially when object views change.