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
Tovias, E.; Wu, L.
Leveraging Virtual Reality and AI for Enhanced Vocabulary Learning Proceedings Article
In: pp. 308, Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 9798331521646 (ISBN).
Abstract | Links | BibTeX | Tags: Avatar, Avatars, E-Learning, Immersive, Interactive computer graphics, Interactive learning, Language Model, Large language model, large language models, Learning experiences, Real time interactions, Text-based methods, user experience, Users' experiences, Virtual environments, Virtual Reality, Vocabulary learning
@inproceedings{tovias_leveraging_2025,
title = {Leveraging Virtual Reality and AI for Enhanced Vocabulary Learning},
author = {E. Tovias and L. Wu},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017563813&doi=10.1109%2FICHMS65439.2025.11154184&partnerID=40&md5=7b79f93d6f8ec222b25a4bfeac408d3a},
doi = {10.1109/ICHMS65439.2025.11154184},
isbn = {9798331521646 (ISBN)},
year = {2025},
date = {2025-01-01},
pages = {308},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {This study examines the integration of virtual reality (VR) and Artificial Intelligence (AI) to create more immersive, interactive learning experiences. By combining VR's engaging user experience with AI-powered avatars, this research explores how these tools can enhance vocabulary learning compared to traditional text-based methods. Utilizing a Meta Quest 3 headset, Unity for development, and OpenAI's API & ElevenLabs for dynamic dialogues, this system offers personalized, real-time interactions (Fig. 1). The integration of these technologies fosters a bright future, driving significant advancements in the development of highly immersive and effective learning environments. © 2025 Elsevier B.V., All rights reserved.},
keywords = {Avatar, Avatars, E-Learning, Immersive, Interactive computer graphics, Interactive learning, Language Model, Large language model, large language models, Learning experiences, Real time interactions, Text-based methods, user experience, Users' experiences, Virtual environments, Virtual Reality, Vocabulary learning},
pubstate = {published},
tppubtype = {inproceedings}
}
This study examines the integration of virtual reality (VR) and Artificial Intelligence (AI) to create more immersive, interactive learning experiences. By combining VR's engaging user experience with AI-powered avatars, this research explores how these tools can enhance vocabulary learning compared to traditional text-based methods. Utilizing a Meta Quest 3 headset, Unity for development, and OpenAI's API & ElevenLabs for dynamic dialogues, this system offers personalized, real-time interactions (Fig. 1). The integration of these technologies fosters a bright future, driving significant advancements in the development of highly immersive and effective learning environments. © 2025 Elsevier B.V., All rights reserved.
2022
Gatto, Luigi; Gaglio, Giuseppe Fulvio; Augello, Agnese; Caggianese, Giuseppe; Gallo, Luigi; Cascia, Marco La
MET-iquette: Enabling Virtual Agents to Have a Social Compliant Behavior in the Metaverse Proceedings Article
In: 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 394–401, 2022.
Abstract | Links | BibTeX | Tags: Avatars, Cognition, Metaverse, NPC, Scene Understanding, Social Agents, Social Practices
@inproceedings{gattoMETiquetteEnablingVirtual2022a,
title = {MET-iquette: Enabling Virtual Agents to Have a Social Compliant Behavior in the Metaverse},
author = { Luigi Gatto and Giuseppe Fulvio Gaglio and Agnese Augello and Giuseppe Caggianese and Luigi Gallo and Marco La Cascia},
doi = {10.1109/SITIS57111.2022.00066},
year = {2022},
date = {2022-10-01},
booktitle = {2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)},
pages = {394--401},
abstract = {Metaverse aims at connecting the physical and digital world in a highly immersive virtual environment that can replicate society and social practices within it. It is populated not only by avatars corresponding to users but also by nonplayer characters (NPCs). These virtual agents should be able to perceive other agents and objects in the scene, reason and act preferably by exhibiting credible and acceptable social behavior. Relying on the Social Practice theory, this work proposes an architecture for the design and development of a virtual agent able to understand social practices in the Metaverse and act by respecting the social norms that the circumstances entail. The agent is equipped with modules for recognizing elements of the scene, knowledge and rules about a set of social practices. The scene information is exploited by a reasoning module that allows the agent to evaluate the current social practice, socially interpret the events, and activate the most appropriate behaviors. The paper describes the proposed architecture, its implementation, and the realization of an experimental virtual scenario.},
keywords = {Avatars, Cognition, Metaverse, NPC, Scene Understanding, Social Agents, Social Practices},
pubstate = {published},
tppubtype = {inproceedings}
}
Metaverse aims at connecting the physical and digital world in a highly immersive virtual environment that can replicate society and social practices within it. It is populated not only by avatars corresponding to users but also by nonplayer characters (NPCs). These virtual agents should be able to perceive other agents and objects in the scene, reason and act preferably by exhibiting credible and acceptable social behavior. Relying on the Social Practice theory, this work proposes an architecture for the design and development of a virtual agent able to understand social practices in the Metaverse and act by respecting the social norms that the circumstances entail. The agent is equipped with modules for recognizing elements of the scene, knowledge and rules about a set of social practices. The scene information is exploited by a reasoning module that allows the agent to evaluate the current social practice, socially interpret the events, and activate the most appropriate behaviors. The paper describes the proposed architecture, its implementation, and the realization of an experimental virtual scenario.
Gatto, Luigi; Gaglio, Giuseppe Fulvio; Augello, Agnese; Caggianese, Giuseppe; Gallo, Luigi; Cascia, Marco La
MET-iquette: enabling virtual agents to have a social compliant behavior in the Metaverse Proceedings Article
In: 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 394–401, 2022.
Abstract | Links | BibTeX | Tags: Avatars, Cognition, Emotional Appraisal, Metaverse, Model of Emotion, NPC, OCC, Reasoning, Scene Understanding, Social Agents, Social Practices
@inproceedings{gatto_met-iquette_2022,
title = {MET-iquette: enabling virtual agents to have a social compliant behavior in the Metaverse},
author = {Luigi Gatto and Giuseppe Fulvio Gaglio and Agnese Augello and Giuseppe Caggianese and Luigi Gallo and Marco La Cascia},
doi = {10.1109/SITIS57111.2022.00066},
year = {2022},
date = {2022-10-01},
booktitle = {2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)},
pages = {394–401},
abstract = {Metaverse aims at connecting the physical and digital world in a highly immersive virtual environment that can replicate society and social practices within it. It is populated not only by avatars corresponding to users but also by nonplayer characters (NPCs). These virtual agents should be able to perceive other agents and objects in the scene, reason and act preferably by exhibiting credible and acceptable social behavior. Relying on the Social Practice theory, this work proposes an architecture for the design and development of a virtual agent able to understand social practices in the Metaverse and act by respecting the social norms that the circumstances entail. The agent is equipped with modules for recognizing elements of the scene, knowledge and rules about a set of social practices. The scene information is exploited by a reasoning module that allows the agent to evaluate the current social practice, socially interpret the events, and activate the most appropriate behaviors. The paper describes the proposed architecture, its implementation, and the realization of an experimental virtual scenario.},
keywords = {Avatars, Cognition, Emotional Appraisal, Metaverse, Model of Emotion, NPC, OCC, Reasoning, Scene Understanding, Social Agents, Social Practices},
pubstate = {published},
tppubtype = {inproceedings}
}
Metaverse aims at connecting the physical and digital world in a highly immersive virtual environment that can replicate society and social practices within it. It is populated not only by avatars corresponding to users but also by nonplayer characters (NPCs). These virtual agents should be able to perceive other agents and objects in the scene, reason and act preferably by exhibiting credible and acceptable social behavior. Relying on the Social Practice theory, this work proposes an architecture for the design and development of a virtual agent able to understand social practices in the Metaverse and act by respecting the social norms that the circumstances entail. The agent is equipped with modules for recognizing elements of the scene, knowledge and rules about a set of social practices. The scene information is exploited by a reasoning module that allows the agent to evaluate the current social practice, socially interpret the events, and activate the most appropriate behaviors. The paper describes the proposed architecture, its implementation, and the realization of an experimental virtual scenario.