Measuring the effect of attention on simple visual search.

Abstract

Set-size in visual search may be due to 1 or more of 3 factors: sensory processes such as lateral masking between stimuli, attentional processes limiting the perception of individual stimuli, or attentional processes affecting the decision rules for combining information from multiple stimuli. These possibilities were evaluated in tasks such as searching for a longer line among shorter lines. To evaluate sensory contributions, display set-size effects were compared with cuing conditions that held sensory phenomena constant. Similar effects for the display and cue manipulations suggested that sensory processes contributed little under the conditions of this experiment. To evaluate the contribution of decision processes, the set-size effects were modeled with signal detection theory. In these models, a decision effect alone was sufficient to predict the set-size effects without any attentional limitation due to perception.

Cites (2)

1. The information available in brief visual presentations
   Sperling, George · 1960 · Psychological Monographs: General and Applied
2. Guided search: An alternative to the feature integration model for visual search.
   Jeremy M. Wolfe, Kyle R. Cave, Susan L. Franzel · 1989 · Journal of Experimental Psychology Human Perception & Performance

Show all 2 references

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