Gaze Distribution Analysis
Updated 2026-08-10
INTRODUCTION
English translation pending.
CORE DEFINITION
Gaze distribution analysis tracks eye movement to measure the time and frequency with which a user fixates on different regions of an interface or scene. It produces an objective map of attention that shows where the user actually looked, which is more honest than a questionnaire answer, and it gives design optimization a factual foundation to stand on.
SCAFFOLDING EFFECT
Reduce cognitive load
- Ask what they must find: define the task before any eye is tracked at all - Read the heat: let fixation duration and frequency show the real visual priority - Hunt the blind gap: find the region users never looked at at all
Anchor fast decisions
An eye tracker records fixations and saccades, and aggregating the duration and frequency of fixations across many users produces heat zones that reflect true visual priority. Because attention is captured involuntarily, the resulting map is more objective than what users report about where they looked.
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/Eye_trackingverified
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