AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
Here you can find the complete list of our publications.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Basouli, M.; Sheikhooni, S.
Application of Generative Artificial Intelligence in Simulating Virtual Tourism Experiences: Examining the Impact on Post-COVID Tourist Behavior Proceedings Article
In: pp. 593–596, Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 28378296 (ISSN); 28378288 (ISSN), (Issue: 2025).
Abstract | Links | BibTeX | Tags: Advanced technology, Artificial intelligence, Behavioral Research, Commerce, Covid-19, Destination Marketing, Generative AI, Leisure industry, Literature reviews, Post-COVID, Tourism, Tourism industry, Tourist behavior, Tourist destinations, Virtual environments, Virtual Reality, Virtual Tourism, WebXR
@inproceedings{basouli_application_2025,
title = {Application of Generative Artificial Intelligence in Simulating Virtual Tourism Experiences: Examining the Impact on Post-COVID Tourist Behavior},
author = {M. Basouli and S. Sheikhooni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105011597291&doi=10.1109%2FICWR65219.2025.11006234&partnerID=40&md5=55413d1f514a58726eed134828203915},
doi = {10.1109/ICWR65219.2025.11006234},
isbn = {28378296 (ISSN); 28378288 (ISSN)},
year = {2025},
date = {2025-01-01},
pages = {593–596},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {This article examines the application of generative artificial intelligence in simulating virtual tourism experiences and its impact on tourist behavior in the postCOVID era. Utilizing advanced technologies such as Stable Diffusion, ChatGPT, and WebXR, a system has been designed to create interactive virtual experiences of tourist destinations. A literature review reveals that both virtual experiences and generative AI hold significant potential in the tourism industry. However, few studies have explored how these two technologies can be combined and their impact on tourist behavior. Additionally, considering that generative AI, as a tool for simulating tourism experiences, significantly influences tourists' perception of destinations and attractions, travel intention, travel anxiety, and willingness to pay, studying generative AI and virtual tourism seems essential and important. Therefore, this study aims to review previous research and explore the impact of AI-based virtual tourism experiences on tourist behavior in the post-COVID era. Moreover, the study investigates factors influencing the effectiveness of these experiences and the moderating role of safety and health concerns. Results also show that perceived realism and interactivity of virtual experiences are key factors in the effectiveness of these experiences. This research provides a theoretical framework for understanding the influence of generative AI on tourism behavior and offers important practical implications for destination marketers and policymakers in the post-COVID tourism industry. © 2025 Elsevier B.V., All rights reserved.},
note = {Issue: 2025},
keywords = {Advanced technology, Artificial intelligence, Behavioral Research, Commerce, Covid-19, Destination Marketing, Generative AI, Leisure industry, Literature reviews, Post-COVID, Tourism, Tourism industry, Tourist behavior, Tourist destinations, Virtual environments, Virtual Reality, Virtual Tourism, WebXR},
pubstate = {published},
tppubtype = {inproceedings}
}
This article examines the application of generative artificial intelligence in simulating virtual tourism experiences and its impact on tourist behavior in the postCOVID era. Utilizing advanced technologies such as Stable Diffusion, ChatGPT, and WebXR, a system has been designed to create interactive virtual experiences of tourist destinations. A literature review reveals that both virtual experiences and generative AI hold significant potential in the tourism industry. However, few studies have explored how these two technologies can be combined and their impact on tourist behavior. Additionally, considering that generative AI, as a tool for simulating tourism experiences, significantly influences tourists' perception of destinations and attractions, travel intention, travel anxiety, and willingness to pay, studying generative AI and virtual tourism seems essential and important. Therefore, this study aims to review previous research and explore the impact of AI-based virtual tourism experiences on tourist behavior in the post-COVID era. Moreover, the study investigates factors influencing the effectiveness of these experiences and the moderating role of safety and health concerns. Results also show that perceived realism and interactivity of virtual experiences are key factors in the effectiveness of these experiences. This research provides a theoretical framework for understanding the influence of generative AI on tourism behavior and offers important practical implications for destination marketers and policymakers in the post-COVID tourism industry. © 2025 Elsevier B.V., All rights reserved.
2024
Truong, V. T.; Le, H. D.; Le, L. B.
Trust-Free Blockchain Framework for AI-Generated Content Trading and Management in Metaverse Journal Article
In: IEEE Access, vol. 12, pp. 41815–41828, 2024, ISSN: 21693536 (ISSN), (Publisher: Institute of Electrical and Electronics Engineers Inc.).
Abstract | Links | BibTeX | Tags: AI-generated content, AI-generated content (AIGC), Artificial intelligence, Asset management, Assets management, Block-chain, Blockchain, Commerce, Content distribution networks, Cyber-attacks, Decentralised, Decentralized application, Digital asset management, Digital system, Generative AI, Metaverse, Metaverses, Plagiarism, Security, Trustless service, Virtual Reality
@article{truong_trust-free_2024,
title = {Trust-Free Blockchain Framework for AI-Generated Content Trading and Management in Metaverse},
author = {V. T. Truong and H. D. Le and L. B. Le},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188472793&doi=10.1109%2FACCESS.2024.3376509&partnerID=40&md5=6f79427b9a1474979119c4059297f702},
doi = {10.1109/ACCESS.2024.3376509},
issn = {21693536 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {IEEE Access},
volume = {12},
pages = {41815–41828},
abstract = {The rapid development of the metaverse and generative Artificial Intelligence (GAI) has led to the emergence of AI-Generated Content (AIGC). Unlike real-world products, AIGCs are represented as digital files, thus vulnerable to plagiarism and leakage on the Internet. In addition, the trading of AIGCs in the virtual world is prone to various trust issues between the involved participants. For example, some customers may try to avoid the payment after receiving the desired AIGC products, or the content sellers refuse to grant the products after obtaining the license fee. Existing digital asset management (DAM) systems often rely on a trusted third-party authority to mitigate these issues. However, this might lead to centralization problems such as the single-point-of-failure (SPoF) when the third parties are under attacks or being malicious. In this paper, we propose MetaTrade, a blockchain-empowered DAM framework that is designed to tackle these urgent trust issues, offering secured AIGC trading and management in the trustless metaverse environment. MetaTrade eliminates the role of the trusted third party, without requiring trust assumptions among participants. Numerical results show that MetaTrade offers higher performance and lower trading cost compared to existing platforms, while security analysis reveals that the framework is resilient against plagiarism, SPoF, and trust-related attacks. To showcase the feasibility of the design, a decentralized application (DApp) has been built on top of MetaTrade as a marketplace for metaverse AIGCs. © 2024 Elsevier B.V., All rights reserved.},
note = {Publisher: Institute of Electrical and Electronics Engineers Inc.},
keywords = {AI-generated content, AI-generated content (AIGC), Artificial intelligence, Asset management, Assets management, Block-chain, Blockchain, Commerce, Content distribution networks, Cyber-attacks, Decentralised, Decentralized application, Digital asset management, Digital system, Generative AI, Metaverse, Metaverses, Plagiarism, Security, Trustless service, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
The rapid development of the metaverse and generative Artificial Intelligence (GAI) has led to the emergence of AI-Generated Content (AIGC). Unlike real-world products, AIGCs are represented as digital files, thus vulnerable to plagiarism and leakage on the Internet. In addition, the trading of AIGCs in the virtual world is prone to various trust issues between the involved participants. For example, some customers may try to avoid the payment after receiving the desired AIGC products, or the content sellers refuse to grant the products after obtaining the license fee. Existing digital asset management (DAM) systems often rely on a trusted third-party authority to mitigate these issues. However, this might lead to centralization problems such as the single-point-of-failure (SPoF) when the third parties are under attacks or being malicious. In this paper, we propose MetaTrade, a blockchain-empowered DAM framework that is designed to tackle these urgent trust issues, offering secured AIGC trading and management in the trustless metaverse environment. MetaTrade eliminates the role of the trusted third party, without requiring trust assumptions among participants. Numerical results show that MetaTrade offers higher performance and lower trading cost compared to existing platforms, while security analysis reveals that the framework is resilient against plagiarism, SPoF, and trust-related attacks. To showcase the feasibility of the design, a decentralized application (DApp) has been built on top of MetaTrade as a marketplace for metaverse AIGCs. © 2024 Elsevier B.V., All rights reserved.