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    <responseDate>2026-10-11T18:55:37Z</responseDate>
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    <identifier>10.57760/sciencedb.35477</identifier>
    <datestamp>2026-05-06T22:04:51Z</datestamp>
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<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:date>2026-05-06</dc:date>
  <dc:title>Eye-tracking and IPA Data on AIGC-restored Modern Architectural Images</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.35477</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset supports a study on public perception of AIGC-restored modern architectural images. It includes eye-tracking data and Importance&amp;ndash;Performance Analysis (IPA) questionnaire data collected from participants viewing images restored by Stable Diffusion, DALL&amp;middot;E 3, and DeOldify. The eye-tracking data record visual attention indicators, while the IPA data reflect participants&amp;rsquo; evaluations of restoration quality, authenticity, visual expression, and heritage-related perception. The dataset can be used to compare the perceptual performance of different AIGC restoration tools.</dc:description>
  <dc:subject>architectural heritage images; AIGC-restored images; eye-tracking; Importance–Performance Analysis; public perception evaluation</dc:subject>
  <dc:creator>李昊</dc:creator>
  <dc:creator>Ping Zhu</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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