Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Artificial Intelligence Empowered Personalized Engagement Solutions for Future Smart Tourism and Augmented Travel Experiences

Authors
M. Silpa Raj1, *, A. Apsara Saleth Mary2, S. Sathyakala3, P. Mathiyalagan4, Kamal Kant Joshi5, 6, P. K. Chidambaram7
1Assistant Professor, Department of Computer Science and Engineering (Cyber Security), CVR College of Engineering, Hyderabad, Telangana, India
2Guest Faculty, Centre for Tourism and Hotel Management, Madurai Kamaraj University, Palkalai Nagar, Madurai, Tamil Nadu, India
3Assistant Professor, Department of MBA, Sona College of Technology, Salem, Tamil Nadu, India
4Professor, Department of Mechanical Engineering, J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
5Professor, Department of Allied Science, Graphic Era Hill University, Dehradun, India
6Adjunct Professor, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India
7Professor, Department of Mechanical Engineering, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
*Corresponding author. Email: silparajm@gmail.com
Corresponding Author
M. Silpa Raj
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_17How to use a DOI?
Keywords
AI; Personalized Engagement; Smart Tourism; Augmented Travel Experiences; Machine Learning; Data Analytics; Sustainable Tourism; AI Integration
Abstract

Presenting into AI: the face of AI in tourism. This study allows to further explore how a Smart tourism phenomenon affects the tourism system and tourism stakeholders through AI technology-based solutions. AI technologies (for example machine learning, data analytics and augmented reality), help tourism providers deliver more personalized recommendations, optimize services and enhance engagement of travellers. In this paper, they outline main advantages (personalized services, improved client experience, efficiency) and downsides (data privacy, technological complexity, integration into current systems) of AI adoption on the tourism sector. It also explores the potential of AI to help create sustainable, inclusive tourism models that bolster communities. It portrays AI as the response to the challenges of traditional tourism and imagines a future that has begun to integrate smart tourism, perhaps tailored tourism solutions more aligned with the needs of the individual tourist.

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.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_17How 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  - M. Silpa Raj
AU  - A. Apsara Saleth Mary
AU  - S. Sathyakala
AU  - P. Mathiyalagan
AU  - Kamal Kant Joshi
AU  - P. K. Chidambaram
PY  - 2025
DA  - 2025/05/23
TI  - Artificial Intelligence Empowered Personalized Engagement Solutions for Future Smart Tourism and Augmented Travel Experiences
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 183
EP  - 195
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_17
DO  - 10.2991/978-94-6463-718-2_17
ID  - Raj2025
ER  -