<?xml version="1.0" encoding="UTF-8"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-21T02:18:34Z</responseDate><request verb="GetRecord" metadataPrefix="oai_dc" identifier="oai:userhub.com.bd:12129">https://userhub.com.bd/oai-pmh/</request><GetRecord><record><header><identifier>oai:userhub.com.bd:12129</identifier><datestamp>2025-04-12</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Adaptive Font Size Accessibility: A Cross-Media Diagnostic Model</dc:title>
  <dc:creator>Wahid bin Ahsan</dc:creator>
  <dc:subject>accessibility</dc:subject>
  <dc:subject>cross-media</dc:subject>
  <dc:subject>font size</dc:subject>
  <dc:subject>Human-computer Interaction</dc:subject>
  <dc:subject>inclusive design</dc:subject>
  <dc:subject>legibility</dc:subject>
  <dc:subject>perceptual clarity</dc:subject>
  <dc:subject>readability</dc:subject>
  <dc:subject>typography</dc:subject>
  <dc:subject>ux</dc:subject>
  <dc:subject>wcag</dc:subject>
  <dc:description>Font size is a foundational but inconsistently addressed factor in accessible user experience (UX) design. Across web, mobile, print, slides, and signage, font size decisions are shaped by divergent standards and assumptions, often lacking a unified, context-sensitive framework. This paper synthesizes insights from accessibility guidelines, vision science, and UX research to propose a diagnostic model for evaluating font size legibility across media. The model introduces perceptual clarity as a functional outcome shaped by five core variables: media format, viewing distance, user visual characteristics, content criticality, and environmental conditions. Rather than prescribing fixed thresholds, the model supports adaptive, evidence-aligned sizing decisions responsive to situational demands. It aims to guide designers, evaluators, and policy actors toward more inclusive, interoperable, and context-aware typographic practices.</dc:description>
  <dc:publisher>Userhub</dc:publisher>
  <dc:source>Userhub Journal</dc:source>
  <dc:date>2025-04-12</dc:date>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://doi.org/10.58947/journal.vfry23</dc:identifier>
  <dc:identifier>https://userhub.com.bd/publications/adaptive-font-size-accessibility-a-cross-media-diagnostic-model/</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:relation>https://userhub.com.bd/download/report/adaptive-font-size-accessibility-a-cross-media-diagnostic-model.pdf</dc:relation>
  <dc:language>en</dc:language>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>