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Amplifying Difference: Perceptual Design and Verification of Human-Centric Entropy Visualizations

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Maintainer: Daniel Hardman · 2026-06-22 · checked 2026-10-15

A 2026 paper by Daniel Hardman analyzing entviz, an algorithm that renders a high-entropy value such as a key fingerprint as layered perceptual channels so an untrained person can tell whether two values match. It sets out a channel-by-channel perceptual-entropy budget, distinguishes human-centric authentication visualization from machine perceptual hashing, and proposes a commit-and-reveal comparison walk, noting that the budget is an analytic estimate. It is for designers of key and identifier verification.

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