AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2024

Gujar, P.; Paliwal, G.; Panyam, S.

Generative AI and the Future of Interactive and Immersive Advertising Proceedings Article

In: D., Rivas-Lalaleo; S.L.S., Maita (Ed.): ETCM - Ecuador Tech. Chapters Meet., Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835039158-9 (ISBN).

Abstract | Links | BibTeX | Tags: Ad Creation, Adversarial machine learning, Advertising Technology (AdTech), Advertizing, Advertizing technology, Augmented Reality, Augmented Reality (AR), Generative adversarial networks, Generative AI, Immersive, Immersive Advertising, Immersive advertizing, Interactive Advertising, Interactive advertizing, machine learning, Machine-learning, Marketing, Mixed reality, Mixed Reality (MR), Personalization, Personalizations, User Engagement, Virtual environments, Virtual Reality, Virtual Reality (VR)

@inproceedings{gujar_generative_2024,

title = {Generative AI and the Future of Interactive and Immersive Advertising},

author = {P. Gujar and G. Paliwal and S. Panyam},

editor = {Rivas-Lalaleo D. and Maita S.L.S.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211805262&doi=10.1109%2fETCM63562.2024.10746166&partnerID=40&md5=179c5ceeb28ed72e809748322535c7ad},

doi = {10.1109/ETCM63562.2024.10746166},

isbn = {979-835039158-9 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {ETCM - Ecuador Tech. Chapters Meet.},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Generative AI is revolutionizing interactive and immersive advertising by enabling more personalized, engaging experiences through advanced technologies like VR, AR, and MR. This transformation is reshaping how advertisers create, deliver, and optimize content, allowing for two-way communication and blurring lines between digital and physical worlds. AI enhances user engagement through predictive analytics, real-time adaptation, and natural language processing, while also optimizing ad placement and personalization. Future trends include integration with emerging technologies like 5G and IoT, fully immersive experiences, and hyper-personalization. However, challenges such as privacy concerns, transparency issues, and ethical considerations must be addressed. As AI continues to evolve, it promises to create unprecedented opportunities for brands to connect with audiences in meaningful ways, potentially blurring the line between advertising and interactive entertainment. The industry must proactively address these challenges to ensure AI-driven advertising enhances user experiences while respecting privacy and maintaining trust. © 2024 IEEE.},

keywords = {Ad Creation, Adversarial machine learning, Advertising Technology (AdTech), Advertizing, Advertizing technology, Augmented Reality, Augmented Reality (AR), Generative adversarial networks, Generative AI, Immersive, Immersive Advertising, Immersive advertizing, Interactive Advertising, Interactive advertizing, machine learning, Machine-learning, Marketing, Mixed reality, Mixed Reality (MR), Personalization, Personalizations, User Engagement, Virtual environments, Virtual Reality, Virtual Reality (VR)},

pubstate = {published},

tppubtype = {inproceedings}

}

Yang, S.; Tsui, Y. H.; Wang, X.; Alhilal, A.; Mogavi, R. H.; Wang, X.; Hui, P.

From Prompt to Metaverse: User Perceptions of Personalized Spaces Crafted by Generative AI Proceedings Article

In: M., Bernstein; A., Bruckman; U., Gadiraju; A., Halfaker; X., Ma; F., Pinatti; M., Redi; D., Ribes; S., Savage; A., Zhang (Ed.): Proc. ACM Conf. Comput. Support. Coop. Work CSCW, pp. 497–504, Association for Computing Machinery, 2024, ISBN: 979-840071114-5 (ISBN).

Abstract | Links | BibTeX | Tags: AI-generated content, Content creation, Generation tools, Generative adversarial networks, generative artificial intelligence, HCI, Metaverse, Metaverses, Personalization, Personalizations, Space generation, User perceptions, Virtual environments, Virtual Reality, Virtual spaces

@inproceedings{yang_prompt_2024,

title = {From Prompt to Metaverse: User Perceptions of Personalized Spaces Crafted by Generative AI},

author = {S. Yang and Y. H. Tsui and X. Wang and A. Alhilal and R. H. Mogavi and X. Wang and P. Hui},

editor = {Bernstein M. and Bruckman A. and Gadiraju U. and Halfaker A. and Ma X. and Pinatti F. and Redi M. and Ribes D. and Savage S. and Zhang A.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214583858&doi=10.1145%2f3678884.3681897&partnerID=40&md5=c914b32a0cee1520712062e6ec35eb3a},

doi = {10.1145/3678884.3681897},

isbn = {979-840071114-5 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. ACM Conf. Comput. Support. Coop. Work CSCW},

pages = {497–504},

publisher = {Association for Computing Machinery},

abstract = {Generative artificial intelligence (AI) has revolutionized content creation. In parallel, the Metaverse has emerged to transcend the constraints of our physical reality. While Generative AI has a multitude of exciting applications for the fields of writing, coding, and graphic design, its usage to personalize our virtual space has not yet been explored. In this paper, we investigate the application of Artificial Intelligence Generated Content (AIGC) to personalize our virtual spaces and enhance the metaverse experience. To this end, we present a pipeline to enable users to customize their virtual spaces. Moreover, we explore the hardware resources and latency required for personalized spaces, as well as user acceptance of the AI-generated spaces. Comprehensive user studies follow extensive system experiments. Our research evaluates users' perceptions of two generated spaces: panoramic images and 3D virtual spaces. According to our findings, users have shown a great interest in 3D personalized spaces, and the practicality and immersion of 3D space generation tools surpass panoramic space generation tools. © 2024 ACM.},

keywords = {AI-generated content, Content creation, Generation tools, Generative adversarial networks, generative artificial intelligence, HCI, Metaverse, Metaverses, Personalization, Personalizations, Space generation, User perceptions, Virtual environments, Virtual Reality, Virtual spaces},

pubstate = {published},

tppubtype = {inproceedings}

}