Analysis of Future Tourism Gaze Based on Virtual Technology
Research on Intention Perception and Identity in Brink Traveler
- DOI
- 10.2991/978-94-6463-656-7_3How to use a DOI?
- Keywords
- virtual tourism; intentional perception; semiotics
- Abstract
With the rapid development of virtual reality (VR) and augmented reality (AR) technologies, virtual tourism is becoming a novel way to experience tourism. From the perspective of semiotics, this paper defines the types of future virtual tourism symbols and tourists’ identity symbols in detail, and studies tourists’ perception of future virtual tourism destinations from two dimensions: perceptual imagery and emotional imagery. Through the content analysis method, the cognitive image perception characteristics and classification structure of tourists on virtual tourism destinations were studied, and the virtual scene tourism symbols were divided into four categories: situational symbols, visual symbols, auditory symbols and language symbols. With the help of Peirce’s theory of “symbol tripartite”, this paper analyzes the construction of identity symbols of tourists, and points out that the emotional value of virtual tourism can be glimpsed through the presentation, representation and interpretation of identity symbols, and finally the symbol system of virtual tourism is constructed.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuanyuan Tan AU - Yang Langyue Yang PY - 2025 DA - 2025/02/28 TI - Analysis of Future Tourism Gaze Based on Virtual Technology BT - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024) PB - Atlantis Press SP - 15 EP - 28 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-656-7_3 DO - 10.2991/978-94-6463-656-7_3 ID - Tan2025 ER -