Research on the Design of VR Tourism Service System Based on Deep Learning and Emotional Experience
Author(s) -
Qiao Sui,
Li Sui,
Zhenzhen Dong,
Kai Lu
Publication year - 2022
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2022/6097834
Subject(s) - tourism , experiential learning , service (business) , marketing , business , consumption (sociology) , tourism geography , value (mathematics) , service quality , psychology , computer science , sociology , political science , social science , mathematics education , machine learning , law
VR tourism has become an important part of mass tourism. With the advent of the “VR +” era and changes in public consumption habits, tourism must integrate VR, AR and other new technological means of high-quality development and innovative transformation and upgrading. Firstly, the concept of VR + tourism is clarified, and then the biggest problem in the current tourism development is the lack of application of new technologies and the lack of professional talents for local needs. For tourism enterprises, service providers, tourists, service facilities and scenarios, and service processes are all key elements in the implementation of emotional experiences. Possible elements of emotional experience in tourism services include designing attractive tourism experience themes, enhancing the experience value of tourism services, displaying experiential tourism tangibles, creating an atmosphere for interactive tourism experiences, and attaching importance to sensory stimulation for tourists.
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