Preserving China’s Intangible Cultural Heritage through AR/VR storytelling, social media, and AI narratives

Abstract Intangible Cultural Heritage (ICH) has always been a major component of cultural identity and its safeguarding through digital technologies has also been developing. The current research merges the Technology Acceptance Model (TAM) witeth Media Richness Theory (MRT) to emphasize the increasing public acceptance of digital ICH experiences using Alternate Reality/Virtual Reality (AR/VR) storytelling, social media participation, and AI-produced narratives. A mixed-methods research design was applied in which the quantitative part consisted of surveying 350 digital ICH-aware participants and the qualitative part included conducting semi-structured interviews with 15 respondents. Thematic analysis was implemented on their responses to provide depth of experience. The findings indicate that the key facilitators and barriers demonstrated immersive and perceived usefulness of the technology and users’ attitudes influenced mainly by authenticity. Therefore, the research provides both theoretical and policy-based solutions on how ICH can be best promoted, or even preserved, through the different digital technologies used.

Authors

Institutions

Publication Details

Journal
npj Heritage Science
Published
2025-12-24
DOI
https://doi.org/10.1038/s40494-025-02265-x
Primary Topic
Cultural Heritage Management and Preservation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preserving China’s Intangible Cultural Heritage through AR/VR storytelling, social media, and AI narratives

Dongmeng Gao, Jun Zheng, Jian Liu, Chengfang Chen et al.
npj Heritage Science
Cultural Heritage Management and Preservation
article

Preserving China’s Intangible Cultural Heritage through AR/VR storytelling, social media, and AI narratives

Dongmeng Gao, Jun Zheng, Jian Liu, Chengfang Chen, Heng Zou
article en

Abstract

Abstract Intangible Cultural Heritage (ICH) has always been a major component of cultural identity and its safeguarding through digital technologies has also been developing. The current research merges the Technology Acceptance Model (TAM) witeth Media Richness Theory (MRT) to emphasize the increasing public acceptance of digital ICH experiences using Alternate Reality/Virtual Reality (AR/VR) storytelling, social media participation, and AI-produced narratives. A mixed-methods research design was applied in which the quantitative part consisted of surveying 350 digital ICH-aware participants and the qualitative part included conducting semi-structured interviews with 15 respondents. Thematic analysis was implemented on their responses to provide depth of experience. The findings indicate that the key facilitators and barriers demonstrated immersive and perceived usefulness of the technology and users’ attitudes influenced mainly by authenticity. Therefore, the research provides both theoretical and policy-based solutions on how ICH can be best promoted, or even preserved, through the different digital technologies used.

npj Heritage ScienceVol. 13(1)
Northeast Normal University (CN), Cheongju University (KR), Jilin College of the Arts (CN), Jiangxi Science and Technology Normal University (CN)
Sustainable cities and communities
Openalex Percentile: Top 23%
Cultural Heritage Management and Preservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Preserving China’s Intangible Cultural Heritage through AR/VR storytelling, social media, and AI narratives — Dongmeng Gao, Jun Zheng, et al. · npj Heritage Science (2025) | TGRS Research Map | TGRS