Affiliation:
1. 1 School of Humanities , Henan University of Science and Technology , Luoyang , Henan , , China .
Abstract
Abstract
In this paper, we constructed an artificial intelligence model of environment perception and human body perception, and after filtering the irrelevant information in the environment, we collected and analyzed the three-dimensional information of the environment to realize the intelligent perception of the environment. Aiming at the transient noise that may occur in the robot’s operating environment, a time threshold is added on the basis of the traditional double threshold endpoint detection algorithm, which effectively eliminates the influence of transient noise on endpoint detection and realizes non-contact continuous speech recognition. Then the data of the perceived human body was analyzed to understand the perception of the human body by artificial intelligence. Finally, a model for museum public cultural innovation services was constructed based on AI, and the effects of AI on public cultural services were analyzed. The results show that people’s overall perception of intelligent services is 4.305 points, and the perceived functionality, perceived ease of use, perceived pleasantness, and level of intelligence have a significant positive correlation with the quality of public cultural services, with β-values of 0.286, 0.206, 0.068, and 0.378, respectively, and p<0.05.
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Reference17 articles.
1. Wanyan, D., & Dai, Y. (2019). Promoting equal access to public digital cultural services in china: efforts and challenges. Libri, 69(3), 229-239.
2. Mouttaki, I., Bagdanaviiūt, Ingrida, Maanan, M., Erraiss, M., Rhinane, H., & Maanan, M. (2022). Classifying and mapping cultural ecosystem services using artificial intelligence and social media data. Wetlands.
3. Zhang, L. (2016). Performance evaluation of public cultural services in the context of information technology: a government perspective. International Journal of Smart Home, 10(4), 301-312.
4. Floridi, L. (2020). Artificial intelligence as a public service: learning from amsterdam and helsinki. Philosophy & Technology, 33(4), 541-546.
5. Vigl, L. E., Marsoner, T., Giombini, V., Pecher, C., & Depellegrin, D. (2021). Harnessing artificial intelligence technology and social media data to support cultural ecosystem service assessments. People and Nature(4).