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A Narrative Environment Model for the Sustainability of Intangible Cultural Heritage Under the 5G Era

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1283))

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Abstract

With the arrival of the fifth-generation mobile networks (5G) era, it has been widely acknowledged that innovative technology has been involved in many aspects, such as social, culture and economy. In this context, the culture creative industries (CCI) are becoming increasingly fused with technologies. As intangible cultural heritage is recognized as a branch of CCI, to what extent and how technology serves as a tool in safeguarding the intangible cultural heritage (ICH), and what media can ICH interact with the audience should be considered. This study contributes to fill this gap and solve the issues by aiming at the Chinese ICH, thereby exploring a narrative environment model for the sustainability of ICH at World Heritage Sites (WHSs) based on the narratology and narrative environment theory under the 5G Era. The practical possibilities drew on the literature review and a develop model based on the narratology theory thereby contributing to the overall aim of this research. It was discovered that 5G technology applied to an interactive narrative space could probably promote the inheritance and protection for ICH and enhance the immersive audience experience in museums.

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Acknowledgements

This research is financially supported by the Educational Department of Liaoning Province. Project: 《The Theoretical and Practical Research of Intangible Cultural Heritage in Liaoning Province Based on the “Narrative Environment” Theory under the 5G Era》 (Project number: No. J2020079).

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Correspondence to Wei Ding .

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Qu, C., Zhao, T., Ding, W. (2021). A Narrative Environment Model for the Sustainability of Intangible Cultural Heritage Under the 5G Era. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_20

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