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pith:2025:WEPE3T2Z6PMGA5QCTAONASSAZE
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Systematically Evaluating Equivalent Purpose for Digital Maps

Brandon Biggs, Brett Oppegaard, Bruce N. Walker, David Sloan, James M. Coughlan, Nicholas A. Giudice

The Map Equivalent-Purpose Framework defines three items and fifteen criteria to determine if non-visual maps serve the same purpose as visual maps.

arxiv:2512.05310 v3 · 2025-12-04 · cs.HC

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Claims

C1strongest claim

The MEP Framework provides a replicable methodology for comprehensively assessing digital map accessibility, clarifying WCAG's 'equivalent purpose', and guiding compliant and usable map creation.

C2weakest assumption

That the three defined items (Generalized, Spatial Information, and Spatial Relationships) together with the 15 measurable criteria fully and accurately capture the equivalent purpose of visual maps for non-visual users without omissions or over-specifications.

C3one line summary

The MEP Framework uses three purpose categories and 15 criteria to evaluate map representations, finding that tables and turn-by-turn directions fall short while Audio Maps and similar methods succeed in conveying equivalent spatial information.

References

4 extracted · 4 resolved · 0 Pith anchors

[1] Arundel and W Li 2020 · doi:10.22224/gistbok/2021.3.4
[2] Audio Description: Making Useful Maps for Blind and Visually Impaired People 2020 · doi:10.1145/3590955
[3] Definition of the Map 2024 · doi:10.1080/13658810210149416
[4] Symbolization and the Visual Variables 2018 · doi:10.22224/gistbok/2017.2.3

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First computed 2026-05-17T23:39:00.607937Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
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b11e4dcf59f3d8607602981cd04a40c91e42268e8475476b00a9c6187c7ee0a5

Aliases

arxiv: 2512.05310 · arxiv_version: 2512.05310v3 · doi: 10.48550/arxiv.2512.05310 · pith_short_12: WEPE3T2Z6PMG · pith_short_16: WEPE3T2Z6PMGA5QC · pith_short_8: WEPE3T2Z
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/WEPE3T2Z6PMGA5QCTAONASSAZE \
  | jq -c '.canonical_record' \
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Canonical record JSON
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