pith:UUVLGY6F
SymbolSight: Minimizing Inter-Symbol Interference for Reading with Prosthetic Vision
Optimizing symbol-to-letter assignments can reduce predicted confusion in prosthetic reading by a median factor of 22 across languages.
arxiv:2601.17326 v2 · 2026-01-24 · cs.CV · cs.HC
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Claims
Across simulations in Arabic, Bulgarian, and English, the resulting heterogeneous symbol sets reduced predicted confusion by a median factor of 22 relative to native alphabets.
The neural proxy observer and simulated prosthetic vision (SPV) provide a sufficiently accurate model of actual human letter confusability under real prosthetic conditions.
SymbolSight optimizes symbol-to-letter mappings via simulated prosthetic vision and bigram statistics, cutting predicted confusion by a median factor of 22 across Arabic, Bulgarian, and English.
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| First computed | 2026-05-18T03:09:24.308328Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UUVLGY6FWFSA7JRLHEGDP5JEPT \
| jq -c '.canonical_record' \
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Canonical record JSON
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