Abstract: The digitalisation of intangible cultural heritage and big data technology provide great potential for the development of intangible cultural heritage in low-carbon reform tourism, which not only increases the accuracy of AR digital design, but also contributes to the management and protection of intangible cultural heritage based on tourism. Aiming at the lack of testing and evaluation process of the current tourism intangible cultural heritage AR digital design process, this paper proposes an intangible cultural heritage AR digital design testing algorithm based on data-driven technology using Qinhuai lanterns and colours as a case study. Firstly, an AR digitization scheme based on Qinhuai lanterns intangible cultural heritage is designed; then, around the scheme, key technical contents of AR digitization design of intangible cultural heritage are analysed; secondly, combining the dragonfly algorithm with the restricted Boltzmann machine model, a test method for the AR digitization design of tourism intangible cultural heritage of low-carbon reform based on the optimization of the structural parameters of restricted Boltzmann machine by the dragonfly algorithm is put forward; lastly, relying on the collected data, the design of the AR digital design model of Qinhuai lanterns and colours tourism, and also analysed the effectiveness of the intelligent testing algorithm proposed in this paper. The results show that the proposed digital design method is effective, while the optimised test method has improved convergence speed and increased accuracy, and the test score prediction accuracy reaches 93.5%.

Na YIN, “Data-Driven Technology Augmented Reality Digitisation in Cultural Communication Design” International Journal of Advanced Computer Science and Applications(IJACSA), 16(2), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160253

@article{YIN2025,
title = {Data-Driven Technology Augmented Reality Digitisation in Cultural Communication Design},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160253},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160253},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {2},
author = {Na YIN}
}