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This research aims to measure observer-axis alignment and its relationship to structured pareidolia using an interactive web app.

July 26, 2026Open Access

Inner Geometry: A Single-File Browser App for Measuring Observer-Axis Alignment and Structured Pareidolia

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This research aims to measure observer-axis alignment and its relationship to structured pareidolia using an interactive web app.
Developed a single-file browser app for measuring geometry G.
Implemented a blind data-collection mode for user interactions with silhouettes.
Analyzed responses using a two-proportion z-test to compare detection rates.
Aligned versus control detection rates reveal significant differences (p<0.05).
Users reliably identify vertical axes more often than predicted by baseline symmetry salience.
The application logs all interactions and responses for comprehensive data analysis.

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Randomized trial evaluates observer-axis alignment in geometric shapes, suggesting impact on symmetry perception.

Matthew Arthur Carlo (2026) studied this question.

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