Artificial Intelligence Technology Enabling Innovation in Museum Public Cultural Service Models

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.

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