Abstract
With the advent of the Internet era, the integration of China’s artificial intelligence and sports industry is gradually realized. Artificial intelligence technology provides technical support for all walks of life, bringing new consumption patterns and new social phenomena. In the context of the era of big data, this article uses big data to analyze the relationship between sports and culture based on artificial intelligence, highlighting the “two-way channel” of sports culture. This article uses a combination of questionnaire survey and mathematical statistics to study and analyze the two-way channel of sports culture under artificial intelligence. The public has a very high recognition rate for the construction and integration of sports culture. The highest level of consensus is the joint construction, sharing and joint development of artificial intelligence sports and cultural venue facilities. The approval rate is 89.5%, and the approval rate is the second in hiking, cycling and other sports activities under intelligent sports products. The approval rate was 85.4%. It can be seen that the large-scale investment of sports artificial intelligence in various fields of the sports industry has a positive role in promoting the development of culture, national entertainment and fitness. The research in this paper helps to accelerate the penetration of artificial intelligence into sports culture and promote China’s sports culture more effectively.
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Acknowledgements
This work was supported by Xinhua College of Sun Yat-Sen University, Humanities and Social Sciences project: Research on the construction of campus sports culture system in colleges and universities in guangzhou based on the theory of cultural construction (2018YB014).
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Yu, K., Chen, C. (2021). Empirical Research on Bidirectional Channel of Sports Culture Artificial Intelligence in the Era of Big Data. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_67
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DOI: https://doi.org/10.1007/978-3-030-53980-1_67
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