Visual Search Theory
Updated 2026-08-08
INTRODUCTION
English translation pending.
CORE DEFINITION
Visual search theory originates with Anne Treisman's feature integration theory and was extended by Jeremy Wolfe's guided search model in the late 1980s. It holds that search difficulty depends on whether the target differs from distractors by a single feature, which supports efficient parallel detection, or requires the conjunction of two or more features, which demands serial attention to bind them. The classic evidence is the slope of reaction time as the number of distractors grows. The qualification is that search efficiency is a continuum rather than a strict dichotomy.
SCAFFOLDING EFFECT
Reduce cognitive load
- Search cost estimate: predict whether a target will pop out or require scanning. - Interface design: give the target a unique feature so it is found without effort. - Distractor control: reduce shared features that force slow conjunction search.
Anchor fast decisions
Early vision registers features such as color, orientation, and motion across the whole field at once, but records no binding to objects. If a target is unique in one dimension, that difference is available immediately, so it is found regardless of distractor count. If the target is defined by a combination, the system must select locations one at a time and bind their features, so each added distractor costs more. Attention performs the binding, which is why search time rises with set size and errors take the form of illusory conjunctions.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Visual_searchverified
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