AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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Here you can find the complete list of our publications.
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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
Saddik, A. El; Ahmad, J.; Khan, M.; Abouzahir, S.; Gueaieb, W.
Unleashing Creativity in the Metaverse: Generative AI and Multimodal Content Journal Article
In: ACM Transactions on Multimedia Computing, Communications and Applications, vol. 21, no. 7, pp. 1–43, 2025, ISSN: 15516857 (ISSN); 15516865 (ISSN), (Publisher: Association for Computing Machinery).
Abstract | Links | BibTeX | Tags: Adversarial networks, Artificial intelligence, Content generation, Context information, Creatives, Diffusion Model, diffusion models, Generative adversarial networks, Generative AI, Human engineering, Information instructions, Interactive computer graphics, Interactive computer systems, Interactive devices, Interoperability, Metaverse, Metaverses, Multi-modal, multimodal, Simple++, Three dimensional computer graphics, user experience, User interfaces, Virtual Reality
@article{el_saddik_unleashing_2025,
title = {Unleashing Creativity in the Metaverse: Generative AI and Multimodal Content},
author = {A. El Saddik and J. Ahmad and M. Khan and S. Abouzahir and W. Gueaieb},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105011860002&doi=10.1145%2F3713075&partnerID=40&md5=20064843ced240c42e9353d747672cb3},
doi = {10.1145/3713075},
issn = {15516857 (ISSN); 15516865 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {ACM Transactions on Multimedia Computing, Communications and Applications},
volume = {21},
number = {7},
pages = {1–43},
abstract = {The metaverse presents an emerging creative expression and collaboration frontier where generative artificial intelligence (GenAI) can play a pivotal role with its ability to generate multimodal content from simple prompts. These prompts allow the metaverse to interact with GenAI, where context information, instructions, input data, or even output indications constituting the prompt can come from within the metaverse. However, their integration poses challenges regarding interoperability, lack of standards, scalability, and maintaining a high-quality user experience. This article explores how GenAI can productively assist in enhancing creativity within the contexts of the metaverse and unlock new opportunities. We provide a technical, in-depth overview of the different generative models for image, video, audio, and 3D content within the metaverse environments. We also explore the bottlenecks, opportunities, and innovative applications of GenAI from the perspectives of end users, developers, service providers, and AI researchers. This survey commences by highlighting the potential of GenAI for enhancing the metaverse experience through dynamic content generation to populate massive virtual worlds. Subsequently, we shed light on the ongoing research practices and trends in multimodal content generation, enhancing realism and creativity and alleviating bottlenecks related to standardization, computational cost, privacy, and safety. Last, we share insights into promising research directions toward the integration of GenAI with the metaverse for creative enhancement, improved immersion, and innovative interactive applications. © 2025 Elsevier B.V., All rights reserved.},
note = {Publisher: Association for Computing Machinery},
keywords = {Adversarial networks, Artificial intelligence, Content generation, Context information, Creatives, Diffusion Model, diffusion models, Generative adversarial networks, Generative AI, Human engineering, Information instructions, Interactive computer graphics, Interactive computer systems, Interactive devices, Interoperability, Metaverse, Metaverses, Multi-modal, multimodal, Simple++, Three dimensional computer graphics, user experience, User interfaces, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
The metaverse presents an emerging creative expression and collaboration frontier where generative artificial intelligence (GenAI) can play a pivotal role with its ability to generate multimodal content from simple prompts. These prompts allow the metaverse to interact with GenAI, where context information, instructions, input data, or even output indications constituting the prompt can come from within the metaverse. However, their integration poses challenges regarding interoperability, lack of standards, scalability, and maintaining a high-quality user experience. This article explores how GenAI can productively assist in enhancing creativity within the contexts of the metaverse and unlock new opportunities. We provide a technical, in-depth overview of the different generative models for image, video, audio, and 3D content within the metaverse environments. We also explore the bottlenecks, opportunities, and innovative applications of GenAI from the perspectives of end users, developers, service providers, and AI researchers. This survey commences by highlighting the potential of GenAI for enhancing the metaverse experience through dynamic content generation to populate massive virtual worlds. Subsequently, we shed light on the ongoing research practices and trends in multimodal content generation, enhancing realism and creativity and alleviating bottlenecks related to standardization, computational cost, privacy, and safety. Last, we share insights into promising research directions toward the integration of GenAI with the metaverse for creative enhancement, improved immersion, and innovative interactive applications. © 2025 Elsevier B.V., All rights reserved.
2022
Wang, A.; Gao, Z.; Lee, L. H.; Braud, T.; Hui, P.
Decentralized, not Dehumanized in the Metaverse: Bringing Utility to NFTs through Multimodal Interaction Proceedings Article
In: ACM Int. Conf. Proc. Ser., pp. 662–667, Association for Computing Machinery, 2022, ISBN: 978-145039390-4 (ISBN).
Abstract | Links | BibTeX | Tags: AI-generated art, Arts computing, Behavioral Research, Computation theory, Continuum mechanics, Decentralised, Human behaviors, Interaction, Multi-modal, multimodal, Multimodal Interaction, NFTs, Non-fungible token, Text-to-image, The metaverse
@inproceedings{wang_decentralized_2022,
title = {Decentralized, not Dehumanized in the Metaverse: Bringing Utility to NFTs through Multimodal Interaction},
author = {A. Wang and Z. Gao and L. H. Lee and T. Braud and P. Hui},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142799074&doi=10.1145%2f3536221.3558176&partnerID=40&md5=f9dee1e9e60afc71c4533cbdee0b98a7},
doi = {10.1145/3536221.3558176},
isbn = {978-145039390-4 (ISBN)},
year = {2022},
date = {2022-01-01},
booktitle = {ACM Int. Conf. Proc. Ser.},
pages = {662–667},
publisher = {Association for Computing Machinery},
abstract = {User Interaction for NFTs (Non-fungible Tokens) is gaining increasing attention. Although NFTs have been traditionally single-use and monolithic, recent applications aim to connect multimodal interaction with human behavior. This paper reviews the related technological approaches and business practices in NFT art. We highlight that multimodal interaction is a currently under-studied issue in mainstream NFT art, and conjecture that multimodal interaction is a crucial enabler for decentralization in the NFT community. We present a continuum theory and propose a framework combining a bottom-up approach with AI multimodal process. Through this framework, we put forward integrating human behavior data into generative NFT units, as "multimodal interactive NFT."Our work displays the possibilities of NFTs in the art world, beyond the traditional 2D and 3D static content. © 2022 ACM.},
keywords = {AI-generated art, Arts computing, Behavioral Research, Computation theory, Continuum mechanics, Decentralised, Human behaviors, Interaction, Multi-modal, multimodal, Multimodal Interaction, NFTs, Non-fungible token, Text-to-image, The metaverse},
pubstate = {published},
tppubtype = {inproceedings}
}
User Interaction for NFTs (Non-fungible Tokens) is gaining increasing attention. Although NFTs have been traditionally single-use and monolithic, recent applications aim to connect multimodal interaction with human behavior. This paper reviews the related technological approaches and business practices in NFT art. We highlight that multimodal interaction is a currently under-studied issue in mainstream NFT art, and conjecture that multimodal interaction is a crucial enabler for decentralization in the NFT community. We present a continuum theory and propose a framework combining a bottom-up approach with AI multimodal process. Through this framework, we put forward integrating human behavior data into generative NFT units, as "multimodal interactive NFT."Our work displays the possibilities of NFTs in the art world, beyond the traditional 2D and 3D static content. © 2022 ACM.