Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025)

<Previous Article In Volume
Next Article In Volume>

AI-Empowered Tourism Industry under Spatiotemporal Reconstruction and Localized Innovation

Authors
Guangtao Zhou1, *, Guiyun Wang2, Mingming Wang3
1School of Business, Shandong Xiehe University, Jinan, China
2School of Nursing, Shandong Xiehe University, Jinan, China
3Health Tourism Research Institute, Shandong Xiehe University, Jinan, China
*Corresponding author.
Corresponding Author
Guangtao Zhou
Available Online 25 August 2025.
DOI
10.2991/978-2-38476-456-3_26How to use a DOI?
Keywords
artificial intelligence; human-machine collaboration; affective computing; digital cultural Tourism
Abstract

This research explores AI’s transformation of tourism through literature analysis, identifying key challenges: algorithmic bias, tech fragmentation, ethical dilemmas, and digital divides. It develops a “spatiotemporal compression-reconstruction-collaboration” framework, revealing: 1) Virtual-physical integration creates multidimensional spaces across sky-ground-earth domains; 2) Emotion-aware computing enables context-specific LBS networks; 3) Localized innovation evolves AI roles from tools to digital residents. Practical strategies suggest innovations in hybrid tourism products, cultural digitization, and dynamic experience design, alongside service optimization through precision algorithms and inclusive ecosystems. The proposed “technology-ethics-policy” governance mechanism addresses data barriers, facilitating AI’s transition from efficiency enhancer to value creator. Findings provide theoretical and practical guidance for sustainable smart tourism development.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
25 August 2025
ISBN
978-2-38476-456-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-456-3_26How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Guangtao Zhou
AU  - Guiyun Wang
AU  - Mingming Wang
PY  - 2025
DA  - 2025/08/25
TI  - AI-Empowered Tourism Industry under Spatiotemporal Reconstruction and Localized Innovation
BT  - Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025)
PB  - Atlantis Press
SP  - 222
EP  - 229
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-456-3_26
DO  - 10.2991/978-2-38476-456-3_26
ID  - Zhou2025
ER  -