Separation of low-level and high-level factors in complex tasks: Visual search.

Abstract

A method for assessing the role of low-level factors in complex tasks is described. The method, which involves comparing simple-discrimination performance and complex-task performance for the same stimuli, was used to assess the role of low-level factors in multiple-fixation visual search. In one experiment, the target and background were composed of line segments that differed in color, orientation, or both; in another, target and background were composed of filtered-noise textures that differed in spatial frequency, orientation, or both. Most of the variance in search time was found to be predictable from the discrimination data, suggesting that low-level factors often play a dominant role in limiting search performance. A signal-detection model is presented that demonstrates how current psychophysical models of visual discrimination might be generalized to obtain a theory that can predict search performance for a wide range of stimulus conditions.

Cites (4)

1. Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory
   Shiffrin, Richard M., Schneider, Walter · 1977 · Psychological Review
2. The information available in brief visual presentations
   Sperling, George · 1960 · Psychological Monographs: General and Applied
3. 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
4. Human luminance pattern-vision mechanisms: masking experiments require a new model
   Foley, John M. · 1994 · Journal of the Optical Society of America A

Show all 4 references

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