PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 18, 2026The Korean Society of Science & Art0 citations

A Study on the Application of AI and XR Convergence Models Based on Heritage Materiality

View Full Paper
MSMin Jeong Song

Key Points

  • The aim is to explore how AI and XR can be integrated into cultural heritage preservation by focusing on materiality.
  • Investigated Digital Twins as a convergence of AI and XR in heritage sites.
  • Applied the London Charter's preservation ethics to develop a framework of nine variables.
  • Conducted comparative analysis of Digital Dunhuang, Notre-Dame Cathedral, and Rome Reborn to identify integration patterns.
  • Found that technology integration must be materiality-driven for effective preservation.
  • Identified specific strategies such as preventive conservation and cognitive reconstruction for each heritage type.
  • Showed the importance of a tiered approach to addressing challenges in preservation efforts.

Abstract

This study investigates how cultural heritage Digital Twins (DT), integrating Artificial Intelligence (AI) and Extended Reality (XR), enable preservation tailored to the materiality and physical constraints of individual sites. By operationalizing the London Charter's preservation ethics into a framework of nine observable variables, this research addresses complex challenges ranging from ongoing material decay to severe physical absence. A comparative analysis of Digital Dunhuang (2D surface), Notre-Dame Cathedral (3D structure), and Rome Reborn (4D urban space) reveals materiality-driven integration patterns across technological architecture, interdisciplinary governance, and heritage ethics. Findings indicate that technology integration must align with materiality: preventive conservation via optical diagnosis and generative infill for 2D surfaces; structural resilience through automated classification and spatial optimization for 3D structures; and cognitive reconstruction using parametric procedural generation for 4D urban spaces. Successful DT implementation demands materiality-aware calibration over generic adoption, highlighting the need to resolve challenges in economic sustainability, semantic interoperability, and intellectual transparency. This study defines a tiered approach distinguishing essential variables, such as Method Fitness, from aspirational ones such as Economic Sustainability, to address these limitations. This framework establishes an adaptive baseline, enabling resource-constrained institutions to deploy computational preservation while maintaining strict cultural authenticity.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Min Jeong Song (2026) studied this question.

synapsesocial.com/papers/69e31f7340886becb653ea20https://doi.org/10.17548/ksaf.2026.03.30.187
Ask AI
Helpful
Bookmark
Share
View Full Paper