Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

October 9, 2024


Pages


DOI

Article

Research on Artificial Intelligence-assisted Leisure Hotel and Tourism Industry Sustainable Development Strategy

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Authors

Ya Zhang Affiliation:
School of Management, Zhengzhou College of Finance and Economics, Zhengzhou, Henan, 450000, China.


Abstract

Leisure hotels, as the core and important carrier of tourism development, are facing a broad development opportunity with the intervention of artificial intelligence. This paper designs a speech recognition system using HMM algorithms, enabling tourists to interact with the intelligent leisure hotel through voice commands. The system collects human voices via a microphone or sound card. When the system receives a specific voice, it generates a corresponding message to make a judgment about effective commands. Based on this, a smart voice assistant has been built to allow visitors to enjoy an intelligent home in the guest room and quickly access relevant information. When evaluating the system in terms of experiential value and commercial value, only the item “economic gain” has a low score of 36, whereas the other four indicators are all above 40. To analyze tourists’ perceived value and satisfaction with the smart service, a questionnaire method was employed, and the intrinsic relationship between the two was verified. The results show a significant positive correlation between satisfaction and all dimensions of perceived value. Accordingly, this paper presents relevant strategies for implementing artificial intelligence technology in leisure hotels, as well as strategies to support the sustainable development of the tourism industry.


Keywords

HMM algorithm, Speech recognition system, Artificial intelligence, Leisure hotel, 68P30


Citation

Zhang, Y. (2024). Research on artificial intelligence-assisted leisure hotel and tourism industry sustainable development strategy. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2845

Published by: Engineering Journals

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