Application interface design of Chongqing intangible cultural heritage based on deep learning

Abstract

In order to integrate the concept of intangible cultural heritage (ICH) protection into the construction of smart cities, realize the organic integration of smart cities and cultural heritage, and improve the cultural experience of urban residents and tourists, this study explores an interactive design scheme of smart cities application interface applied to ICH protection to meet the needs of protection and inheritance. Firstly, the ICH of Chongqing is sorted out and classified. The ICH-related APP interfaces in the market are analyzed through investigation. Secondly, an image recognition algorithm of ICH based on deep learning (DL) technology is proposed and applied in APP to realize automatic recognition and introduction of ICH. Finally, a set of APP interface interaction design schemes is designed based on user habits and visual feelings to enhance user experience. The experimental results reveal: (1) The model for recognizing ICH images using the convolutional neural network (CNN) has higher recognition accuracy, recall, and F1 value than the model without CNNs; (2) After incorporating transfer learning (TL) into the model, the recognition accuracy, recall, and F1 value of the model have further improved; (3) The survey results show that the Chongqing ICH APP interface system based on DL technology, user habits, and visual perception performs better in terms of user experience, usability, and other aspects. This study aims to design an APP interface system for the Chongqing ICH based on DL technology, user habits, and visual perception, to improve user experience and usability. Future research directions can further optimize image recognition algorithms to improve ICH's recognition accuracy and efficiency. Meanwhile, new technologies, such as virtual reality, are combined to enhance users' interactive experience and immersion.

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