Size averaging of irrelevant stimuli cannot be prevented

Area of Science:

• Cognitive Psychology
• Visual Perception
• Attention Studies

Background:

• Concurrent mean size computation of interspersed objects is possible but incurs attentional costs.
• Potential costs include divided attention or failure to exclude irrelevant items from calculations.

Purpose of the Study:

• To investigate if attention can be selectively deployed to exclude irrelevant items during mean size computation.
• To determine if selective attention can prevent irrelevant set inclusion in relevant set mean size calculations.

Main Methods:

• Experimental manipulation of visual set exposures (200ms brief and unlimited viewing).
• Simultaneous judgment tasks assessing mean size computation under varying attentional demands.
• Analysis of whether irrelevant items influence the calculation of the relevant set's mean size.

Main Results:

• Mean size computation occurs before attention is deployed, failing to exclude irrelevant items.
• Irrelevant items influenced size averaging regardless of exposure duration (brief or unlimited).
• Attention could not be effectively deployed to facilitate selective averaging of the relevant set's size.

Conclusions:

• Size averaging appears to be an automatic process that precedes selective attention.
• Selective attention cannot effectively inhibit irrelevant visual information during automatic size averaging.
• Findings suggest automatic processing of visual stimuli for mean size estimation.