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Title AI Virtual Travel Assistant Based on Smart City - An Application Interface Design Study
ID_Doc 41391
Authors Liu, Y; Niu, XY
Title AI Virtual Travel Assistant Based on Smart City - An Application Interface Design Study
Year 2024
Published
DOI 10.1007/978-3-031-59988-0_14
Abstract The construction of smart cities provides more convenient and efficient services and facilities for the tourism industry, and together with the continuous advancement of AI technology, it can support the intelligent development and digital transformation of the tourism industry in terms of data analysis and prediction, automation and intelligence, personalization and customization, intelligent decision support, and exploration. The implementation of digital technology in various industries, the establishment of large-scale data systems, and the development of modern urban areas lay the groundwork for the intelligent evolution of the tourism sector. This study aims to examine the current state of transforming tourism consumption through the use of data processing, specifically by performing a literature survey on the existing applications of artificial intelligence and big data in the tourism industry. By conducting questionnaire surveys and in-depth interviews, we investigate how tourists utilize tourism application from an audience analysis standpoint. We also consider the use and satisfaction theory to plan the design of application, incorporating the benefits of artificial intelligence to speculate on the design of tourism application. This study seeks to examine the impact of AI on the conventional framework of the tourism industry and its role in facilitating the intelligent evolution of the industry within smart cities. Additionally, it aims to investigate how AI can be leveraged as a significant competitive edge for the advancement of the tourism sector.
Author Keywords Tourist Behaviour; Artificial Intelligence; Smart Tourism
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:001288610200014
WoS Category Computer Science, Cybernetics
Research Area Computer Science
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