AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific 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
Tortora, A.; Amaro, I.; Greca, A. Della; Barra, P.
Exploring the Role of Generative Artificial Intelligence in Virtual Reality: Opportunities and Future Perspectives Proceedings Article
In: J.Y.C., Chen; G., Fragomeni (Ed.): Lect. Notes Comput. Sci., pp. 125–142, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-303193699-9 (ISBN).
Abstract | Links | BibTeX | Tags: Ethical technology, Future perspectives, Generative AI, Image modeling, Immersive, immersive experience, Immersive Experiences, Information Management, Language Model, Personnel training, Professional training, Real- time, Sensitive data, Training design, Users' experiences, Virtual Reality
@inproceedings{tortora_exploring_2025,
title = {Exploring the Role of Generative Artificial Intelligence in Virtual Reality: Opportunities and Future Perspectives},
author = {A. Tortora and I. Amaro and A. Della Greca and P. Barra},
editor = {Chen J.Y.C. and Fragomeni G.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007788684&doi=10.1007%2f978-3-031-93700-2_9&partnerID=40&md5=7b69183bbf8172f9595f939254fb6831},
doi = {10.1007/978-3-031-93700-2_9},
isbn = {03029743 (ISSN); 978-303193699-9 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15788 LNCS},
pages = {125–142},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {In recent years, generative AI, such as language and image models, have started to revolutionize virtual reality (VR) by offering new opportunities for immersive and personalized interaction. This paper explores the potential of these Intelligent Augmentation technologies in the context of VR, analyzing how the generation of text and images in real time can enhance the user experience through dynamic and personalized environments and contents. The integration of generative AI in VR scenarios holds promise in multiple fields, including education, professional training, design, and healthcare. However, their implementation involves significant challenges, such as privacy management, data security, and ethical issues related to cognitive manipulation and representation of reality. Through an overview of current applications and future prospects, this paper highlights the crucial role of generative AI in enhancing VR, helping to outline a path for the ethical and sustainable development of these immersive technologies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.},
keywords = {Ethical technology, Future perspectives, Generative AI, Image modeling, Immersive, immersive experience, Immersive Experiences, Information Management, Language Model, Personnel training, Professional training, Real- time, Sensitive data, Training design, Users' experiences, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
In recent years, generative AI, such as language and image models, have started to revolutionize virtual reality (VR) by offering new opportunities for immersive and personalized interaction. This paper explores the potential of these Intelligent Augmentation technologies in the context of VR, analyzing how the generation of text and images in real time can enhance the user experience through dynamic and personalized environments and contents. The integration of generative AI in VR scenarios holds promise in multiple fields, including education, professional training, design, and healthcare. However, their implementation involves significant challenges, such as privacy management, data security, and ethical issues related to cognitive manipulation and representation of reality. Through an overview of current applications and future prospects, this paper highlights the crucial role of generative AI in enhancing VR, helping to outline a path for the ethical and sustainable development of these immersive technologies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Zhang, H.; Zha, S.; Cai, J.; Wohn, D. Y.; Carroll, J. M.
Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community Proceedings Article
In: Conf Hum Fact Comput Syst Proc, Association for Computing Machinery, 2025, ISBN: 979-840071395-8 (ISBN).
Abstract | Links | BibTeX | Tags: AI assistant, AI Technologies, Coding framework, Ethical technology, Human-ai collaboration, Immersive, On-line communities, online community, Preliminary analysis, Property, Qualitative analysis, user experience, Users' experiences
@inproceedings{zhang_generative_2025,
title = {Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community},
author = {H. Zhang and S. Zha and J. Cai and D. Y. Wohn and J. M. Carroll},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005770564&doi=10.1145%2f3706599.3720120&partnerID=40&md5=9bdfc4e70b9b361d67791932f5a56413},
doi = {10.1145/3706599.3720120},
isbn = {979-840071395-8 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Conf Hum Fact Comput Syst Proc},
publisher = {Association for Computing Machinery},
abstract = {As immersive social platforms like VRChat increasingly adopt generative AI (GenAI) technologies, it becomes critical to understand how community members perceive, negotiate, and utilize these tools. In this preliminary study, we conducted a qualitative analysis of VRChat-related Discord discussions, employing a deductive coding framework to identify key themes related to AI-assisted content creation, intellectual property disputes, and evolving community norms. Our findings offer preliminary insights into the complex interplay between the community’s enthusiasm for AI-driven creativity and deep-rooted ethical and legal concerns. Users weigh issues of fair use, data ethics, intellectual property, and the role of community governance in establishing trust. By highlighting the tensions and trade-offs as users embrace new creative opportunities while seeking transparency, fair attribution, and equitable policies, this research offers valuable insights for designers, platform administrators, and policymakers aiming to foster responsible, inclusive, and ethically sound AI integration in future immersive virtual environments. © 2025 Copyright held by the owner/author(s).},
keywords = {AI assistant, AI Technologies, Coding framework, Ethical technology, Human-ai collaboration, Immersive, On-line communities, online community, Preliminary analysis, Property, Qualitative analysis, user experience, Users' experiences},
pubstate = {published},
tppubtype = {inproceedings}
}
As immersive social platforms like VRChat increasingly adopt generative AI (GenAI) technologies, it becomes critical to understand how community members perceive, negotiate, and utilize these tools. In this preliminary study, we conducted a qualitative analysis of VRChat-related Discord discussions, employing a deductive coding framework to identify key themes related to AI-assisted content creation, intellectual property disputes, and evolving community norms. Our findings offer preliminary insights into the complex interplay between the community’s enthusiasm for AI-driven creativity and deep-rooted ethical and legal concerns. Users weigh issues of fair use, data ethics, intellectual property, and the role of community governance in establishing trust. By highlighting the tensions and trade-offs as users embrace new creative opportunities while seeking transparency, fair attribution, and equitable policies, this research offers valuable insights for designers, platform administrators, and policymakers aiming to foster responsible, inclusive, and ethically sound AI integration in future immersive virtual environments. © 2025 Copyright held by the owner/author(s).
Yadav, R.; Huzooree, G.; Yadav, M.; Gangodawilage, D. S. K.
Generative AI for personalized learning content creation Book Section
In: Transformative AI Practices for Personalized Learning Strategies, pp. 107–130, IGI Global, 2025, ISBN: 979-836938746-7 (ISBN); 979-836938744-3 (ISBN).
Abstract | Links | BibTeX | Tags: Adaptive feedback, Advanced Analytics, AI systems, Contrastive Learning, Educational contents, Educational experiences, Enhanced learning, Ethical technology, Federated learning, Immersive, Learning content creation, Personalized learning, Student engagement, Students, Supervised learning, Tools and applications, Virtual Reality
@incollection{yadav_generative_2025,
title = {Generative AI for personalized learning content creation},
author = {R. Yadav and G. Huzooree and M. Yadav and D. S. K. Gangodawilage},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005387236&doi=10.4018%2f979-8-3693-8744-3.ch005&partnerID=40&md5=904e58b9c6de83dcd431c1706dda02b3},
doi = {10.4018/979-8-3693-8744-3.ch005},
isbn = {979-836938746-7 (ISBN); 979-836938744-3 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Transformative AI Practices for Personalized Learning Strategies},
pages = {107–130},
publisher = {IGI Global},
abstract = {Generative AI has emerged as a transformative force in personalized learning, offering unprecedented opportunities to tailor educational content to individual needs. By leveraging advanced algorithms and data analysis, AI systems can dynamically generate customized materials, provide adaptive feedback, and foster student engagement. This chapter explores the intersection of generative AI and personalized learning, discussing its techniques, tools, and applications in creating immersive and adaptive educational experiences. Key benefits include enhanced learning outcomes, efficiency, and scalability. However, challenges such as data privacy, algorithmic bias, and equitable access must be addressed to ensure responsible implementation. Future trends, including the integration of immersive technologies like Virtual Reality (VR) and predictive analytics, highlight AI's potential to revolutionize education. By navigating ethical considerations and fostering transparency, generative AI can become a powerful ally in creating inclusive, engaging, and student- centered learning environments. © 2025, IGI Global Scientific Publishing. All rights reserved.},
keywords = {Adaptive feedback, Advanced Analytics, AI systems, Contrastive Learning, Educational contents, Educational experiences, Enhanced learning, Ethical technology, Federated learning, Immersive, Learning content creation, Personalized learning, Student engagement, Students, Supervised learning, Tools and applications, Virtual Reality},
pubstate = {published},
tppubtype = {incollection}
}
Generative AI has emerged as a transformative force in personalized learning, offering unprecedented opportunities to tailor educational content to individual needs. By leveraging advanced algorithms and data analysis, AI systems can dynamically generate customized materials, provide adaptive feedback, and foster student engagement. This chapter explores the intersection of generative AI and personalized learning, discussing its techniques, tools, and applications in creating immersive and adaptive educational experiences. Key benefits include enhanced learning outcomes, efficiency, and scalability. However, challenges such as data privacy, algorithmic bias, and equitable access must be addressed to ensure responsible implementation. Future trends, including the integration of immersive technologies like Virtual Reality (VR) and predictive analytics, highlight AI's potential to revolutionize education. By navigating ethical considerations and fostering transparency, generative AI can become a powerful ally in creating inclusive, engaging, and student- centered learning environments. © 2025, IGI Global Scientific Publishing. All rights reserved.