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 expand the Abstract, Links and BibTex record for each paper.
2025
Augello, Agnese; Rausa, Maria; Bongiovanni, Sabrina Anna; Cortina, Katia; Martines, Vincenzo; Sciandra, Mariangela
How Are Robots Appraised in Relation to Social Expectations? Eliciting Explanations through Social Stories. Proceedings Article
In: Proceedings of the 9th International Conference on Artificial Intelligence and Virtual Reality, Kazumi Nakamatsu, Roumiana Kountcheva, Srikanta Patnaik, 2025.
BibTeX | Tags:
@inproceedings{augello_how_2025,
title = {How Are Robots Appraised in Relation to Social Expectations? Eliciting Explanations through Social Stories.},
author = {Agnese Augello and Maria Rausa and Sabrina Anna Bongiovanni and Katia Cortina and Vincenzo Martines and Mariangela Sciandra},
year = {2025},
date = {2025-07-01},
booktitle = {Proceedings of the 9th International Conference on Artificial Intelligence and Virtual Reality},
publisher = {Kazumi Nakamatsu, Roumiana Kountcheva, Srikanta Patnaik},
series = {Springer Nature Switzerland AG},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Augello, Agnese; Chella, Antonio; Pipitone, Arianna
Conversational Agents: Chatbots, Virtual Assistants, Voice Assistants, and Others Book Section
In: Reference Module in Social Science, 2025, ISBN: ISBN 9780443157851.
@incollection{augello_conversational_2025,
title = {Conversational Agents: Chatbots, Virtual Assistants, Voice Assistants, and Others},
author = {Agnese Augello and Antonio Chella and Arianna Pipitone},
url = {https://doi.org/10.1016/B978-0-323-95504-1.01163-7.},
isbn = {ISBN 9780443157851},
year = {2025},
date = {2025-01-01},
booktitle = {Reference Module in Social Science},
edition = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Badagliacca, Dario; Caruso, Gabriele; Augello, Agnese; Sabatucci, Luca
Graph of Goal-Oriented Thoughts: Design and Implementation of LLM Agents Proceedings Article
In: SOCIALIZE 2025, CEUR Workshop Proceedings, 2025.
BibTeX | Tags:
@inproceedings{badagliacca_graph_2025-1,
title = {Graph of Goal-Oriented Thoughts: Design and Implementation of LLM Agents},
author = {Dario Badagliacca and Gabriele Caruso and Agnese Augello and Luca Sabatucci},
year = {2025},
date = {2025-01-01},
booktitle = {SOCIALIZE 2025, CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Augello, Agnese; Datteri, Edoardo; Lieto, Antonio; Rausa, Maria; Zagni, Nicola
RAGGAE for HERBS: Testing the Explanatory Performance of Ontologypowered LLMs for Human Explanation of Robotic Behaviors Proceedings Article
In: Proceedings of 17th International Conference on Social Robotics + AI., 2025.
BibTeX | Tags:
@inproceedings{augello_raggae_2025,
title = {RAGGAE for HERBS: Testing the Explanatory Performance of Ontologypowered LLMs for Human Explanation of Robotic Behaviors},
author = {Agnese Augello and Edoardo Datteri and Antonio Lieto and Maria Rausa and Nicola Zagni},
year = {2025},
date = {2025-01-01},
booktitle = {Proceedings of 17th International Conference on Social Robotics + AI.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rausa, Maria; Augello, Agnese; Lieto, Antonio
Towards an Ontology of Human Explanations of Robotic Behavior Proceedings Article
In: CEUR Workshop Proceedings. 2025., 2025.
@inproceedings{rausa_towards_2025,
title = {Towards an Ontology of Human Explanations of Robotic Behavior},
author = {Maria Rausa and Agnese Augello and Antonio Lieto},
year = {2025},
date = {2025-01-01},
booktitle = {CEUR Workshop Proceedings. 2025.},
abstract = {Explainability in AI is essential for fostering trust and effective interaction, particularly in socially sensitive
contexts. A conceptual formalization and an empirical study of explanations in Human-Robot Interaction (HRI)
scenarios can be informative in the design and implementation of explainable robots. However, the current
state of research lacks this type of analysis, especially at a fine-grained level. The HERB (Human Explanation of
Robotic Behavior) project aims to collect and analyze explanations of robotic behaviors in social and educational
settings. In this work, we present an ontology of explanations designed to analyze semi-structured interviews
conducted within the HERB project in order to gather individuals’ perspectives on various social scenarios of
HRI. This ontology, relying on a taxonomy of explanation types derived from philosophical theories, categorizes
explanations into distinct types and incorporates a lexicon of linguistic markers},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Explainability in AI is essential for fostering trust and effective interaction, particularly in socially sensitive
contexts. A conceptual formalization and an empirical study of explanations in Human-Robot Interaction (HRI)
scenarios can be informative in the design and implementation of explainable robots. However, the current
state of research lacks this type of analysis, especially at a fine-grained level. The HERB (Human Explanation of
Robotic Behavior) project aims to collect and analyze explanations of robotic behaviors in social and educational
settings. In this work, we present an ontology of explanations designed to analyze semi-structured interviews
conducted within the HERB project in order to gather individuals’ perspectives on various social scenarios of
HRI. This ontology, relying on a taxonomy of explanation types derived from philosophical theories, categorizes
explanations into distinct types and incorporates a lexicon of linguistic markers
contexts. A conceptual formalization and an empirical study of explanations in Human-Robot Interaction (HRI)
scenarios can be informative in the design and implementation of explainable robots. However, the current
state of research lacks this type of analysis, especially at a fine-grained level. The HERB (Human Explanation of
Robotic Behavior) project aims to collect and analyze explanations of robotic behaviors in social and educational
settings. In this work, we present an ontology of explanations designed to analyze semi-structured interviews
conducted within the HERB project in order to gather individuals’ perspectives on various social scenarios of
HRI. This ontology, relying on a taxonomy of explanation types derived from philosophical theories, categorizes
explanations into distinct types and incorporates a lexicon of linguistic markers
Neroni, Pietro; Caggianese, Giuseppe; Esposito, Ciro; Gallo, Luigi
Real-Time 3D Posture Tracking for Surgeons in Pediatric Minimally Invasive Surgery Book Section
In: PRT, 2025, (Accepted: 2025-05-11T11:32:57Z).
Abstract | Links | BibTeX | Tags:
@incollection{neroni_real-time_2025-1,
title = {Real-Time 3D Posture Tracking for Surgeons in Pediatric Minimally Invasive Surgery},
author = {Pietro Neroni and Giuseppe Caggianese and Ciro Esposito and Luigi Gallo},
url = {https://www.unipegaso.iris.cineca.it/handle/20.500.12607/55341},
doi = {10.5220/0013504200003932},
year = {2025},
date = {2025-01-01},
urldate = {2025-11-07},
publisher = {PRT},
abstract = {4},
note = {Accepted: 2025-05-11T11:32:57Z},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Casoria, Luigi; Neroni, Pietro; Sabatucci, Luca; Augello, Agnese; Caggianese, Giuseppe
Evaluating LLMs for Synthetic Personas Generation: A Comparative Analysis of Personality Representation and Censorship Effects Proceedings Article
In: Proceedings of the 16th Biannual Conference of the Italian SIGCHI Chapter, pp. 1–9, Association for Computing Machinery, New York, NY, USA, 2025, ISBN: 979-8-4007-2102-1.
Abstract | Links | BibTeX | Tags:
@inproceedings{casoria_evaluating_2025,
title = {Evaluating LLMs for Synthetic Personas Generation: A Comparative Analysis of Personality Representation and Censorship Effects},
author = {Luigi Casoria and Pietro Neroni and Luca Sabatucci and Agnese Augello and Giuseppe Caggianese},
url = {https://dl.acm.org/doi/10.1145/3750069.3750142},
doi = {10.1145/3750069.3750142},
isbn = {979-8-4007-2102-1},
year = {2025},
date = {2025-01-01},
urldate = {2025-11-07},
booktitle = {Proceedings of the 16th Biannual Conference of the Italian SIGCHI Chapter},
pages = {1–9},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {CHItaly '25},
abstract = {Generating synthetic content through large language models (LLMs) is increasingly utilized in various applications, including developing personalized chatbots. A particularly compelling use case is the simulation of Personas, which can play a crucial role in chatbot training, validation, and refinement. Despite the increasing use of this technique, there remain open questions regarding how to enrich these simulations with detailed personality traits in order to better mimic human behavior. In this study, we experimentally evaluate the ability of current LLMs to express specific personality dimensions, guided by the Big Five Theory within the Personas Methodology framework. The proposed approach employs a two-stage process: first, an LLM autonomously completes a 50-item personality questionnaire; then, it generates a biography that reflects the elicited traits. This fully synthetic biography generation is contrasted with a semi-synthetic approach, where biography construction leverages real users’ BFI questionnaire responses to seed the process. Additionally, this work examines differences in persona representation across two LLMs, one of which was fine-tuned to reduce content restrictions. The achieved results are compared in terms of stylistic similarity and the clarity with which they portray personality dimensions when assessed by a higher-performing external model. The dual aims of our work are: (1) to delineate the differences between semi-synthetic and fully synthetic persona biographies, and (2) to investigate the impact of model censorship, especially in capturing controversial or “negative” traits, such as low agreeableness or high neuroticism. The findings of this research offer critical insights into the fidelity and reliability of LLM-based persona generation, providing valuable guidance for the advancement of personalized AI systems and their applications in user simulation.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Generating synthetic content through large language models (LLMs) is increasingly utilized in various applications, including developing personalized chatbots. A particularly compelling use case is the simulation of Personas, which can play a crucial role in chatbot training, validation, and refinement. Despite the increasing use of this technique, there remain open questions regarding how to enrich these simulations with detailed personality traits in order to better mimic human behavior. In this study, we experimentally evaluate the ability of current LLMs to express specific personality dimensions, guided by the Big Five Theory within the Personas Methodology framework. The proposed approach employs a two-stage process: first, an LLM autonomously completes a 50-item personality questionnaire; then, it generates a biography that reflects the elicited traits. This fully synthetic biography generation is contrasted with a semi-synthetic approach, where biography construction leverages real users’ BFI questionnaire responses to seed the process. Additionally, this work examines differences in persona representation across two LLMs, one of which was fine-tuned to reduce content restrictions. The achieved results are compared in terms of stylistic similarity and the clarity with which they portray personality dimensions when assessed by a higher-performing external model. The dual aims of our work are: (1) to delineate the differences between semi-synthetic and fully synthetic persona biographies, and (2) to investigate the impact of model censorship, especially in capturing controversial or “negative” traits, such as low agreeableness or high neuroticism. The findings of this research offer critical insights into the fidelity and reliability of LLM-based persona generation, providing valuable guidance for the advancement of personalized AI systems and their applications in user simulation.
Badagliacca, Dario; Caruso, Gabriele; Augello, Agnese; Sabatucci, Luca
Graph of Goal-Oriented Thoughts: Design and Implementation of LLM Agents Proceedings Article
In: SOCIALIZE 2025, CEUR Workshop Proceedings, 2025.
BibTeX | Tags:
@inproceedings{badagliacca_graph_2025,
title = {Graph of Goal-Oriented Thoughts: Design and Implementation of LLM Agents},
author = {Dario Badagliacca and Gabriele Caruso and Agnese Augello and Luca Sabatucci},
year = {2025},
date = {2025-01-01},
booktitle = {SOCIALIZE 2025, CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sabatucci, Luca; Cossentino, Massimo; Napoli, Claudia Di; Susi, Angelo
Enhancing Device-Goal-Norm Modeling for Ambient Assisted Living with Large Language Models Proceedings Article
In: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, pp. 1481–1488, 2025.
BibTeX | Tags:
@inproceedings{sabatucci_enhancing_2025,
title = {Enhancing Device-Goal-Norm Modeling for Ambient Assisted Living with Large Language Models},
author = {Luca Sabatucci and Massimo Cossentino and Claudia Di Napoli and Angelo Susi},
year = {2025},
date = {2025-01-01},
booktitle = {Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing},
pages = {1481–1488},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sabatucci, Luca; Napoli, Claudia Di
Personalization goals for run-time adaptation of IoT-based assistance applications for the elderly Journal Article
In: Information and Software Technology, vol. 182, pp. 107721, 2025.
BibTeX | Tags:
@article{sabatucci_personalization_2025,
title = {Personalization goals for run-time adaptation of IoT-based assistance applications for the elderly},
author = {Luca Sabatucci and Claudia Di Napoli},
year = {2025},
date = {2025-01-01},
journal = {Information and Software Technology},
volume = {182},
pages = {107721},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Neroni, Pietro; Caggianese, Giuseppe; Esposito, Ciro; Gallo, Luigi
Real-Time 3D Posture Tracking for Surgeons in Pediatric Minimally Invasive Surgery: Proceedings Article
In: Proceedings of the 17th International Conference on Computer Supported Education, pp. 921–928, SCITEPRESS - Science and Technology Publications, Porto, Portugal, 2025, ISBN: 978-989-758-746-7.
Abstract | Links | BibTeX | Tags: Healthcare, Human computer interaction, Surgery, Tracking
@inproceedings{neroni_real-time_2025,
title = {Real-Time 3D Posture Tracking for Surgeons in Pediatric Minimally Invasive Surgery:},
author = {Pietro Neroni and Giuseppe Caggianese and Ciro Esposito and Luigi Gallo},
url = {https://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0013504200003932},
doi = {10.5220/0013504200003932},
isbn = {978-989-758-746-7},
year = {2025},
date = {2025-01-01},
urldate = {2025-05-06},
booktitle = {Proceedings of the 17th International Conference on Computer Supported Education},
pages = {921–928},
publisher = {SCITEPRESS - Science and Technology Publications},
address = {Porto, Portugal},
abstract = {Minimally invasive pediatric surgery presents ergonomic challenges that significantly increase the risk of musculoskeletal disorders (MSDs) among surgeons due to prolonged periods of suboptimal posture. This study introduces a real-time posture monitoring and correction system designed to address this issue. The system utilizes depth camera technology, interactive feedback mechanisms, advanced skeletal tracking, and ergonomic assessment algorithms to continuously monitor and evaluate surgeons’ posture. Through rapid data processing, the system provides real-time feedback, enabling immediate posture adjustments during surgical procedures. It delivers non-intrusive alerts to inform medical staff when incorrect postures are detected, thereby promoting ergonomic well-being and reducing the incidence of MSDs. Designed for seamless integration into the perioperative environment, the system meets strict requirements for privacy, sterility, and operational efficiency. Beyond its application in surgical practice, the system can also enhance surgical education and training by providing real-time feedback, enabling personalized learning pathways, and gamified simulation exercises. It provides detailed analyses of trainee performance, enabling instructors to deliver targeted feedback and develop adaptive training strategies based on detected posture deviations.},
keywords = {Healthcare, Human computer interaction, Surgery, Tracking},
pubstate = {published},
tppubtype = {inproceedings}
}
Minimally invasive pediatric surgery presents ergonomic challenges that significantly increase the risk of musculoskeletal disorders (MSDs) among surgeons due to prolonged periods of suboptimal posture. This study introduces a real-time posture monitoring and correction system designed to address this issue. The system utilizes depth camera technology, interactive feedback mechanisms, advanced skeletal tracking, and ergonomic assessment algorithms to continuously monitor and evaluate surgeons’ posture. Through rapid data processing, the system provides real-time feedback, enabling immediate posture adjustments during surgical procedures. It delivers non-intrusive alerts to inform medical staff when incorrect postures are detected, thereby promoting ergonomic well-being and reducing the incidence of MSDs. Designed for seamless integration into the perioperative environment, the system meets strict requirements for privacy, sterility, and operational efficiency. Beyond its application in surgical practice, the system can also enhance surgical education and training by providing real-time feedback, enabling personalized learning pathways, and gamified simulation exercises. It provides detailed analyses of trainee performance, enabling instructors to deliver targeted feedback and develop adaptive training strategies based on detected posture deviations.
Augello, Agnese; Caggianese, Giuseppe; Gaglio, Giuseppe Fulvio; Gallo, Luigi; Malizia, Velia; Grutta, Stefania La; Tancredi, Giancarlo; Turchetta, Attilio; Vacca, Rosa Anna; Scala, Iris
Serious Games as Emerging E-Health Interventions: Design of an Exergame for the SMILER Project Proceedings Article
In: Schönbohm, Avo; Bellotti, Francesco; Bucchiarone, Antonio; Rosa, Francesca De; Ninaus, Manuel; Wang, Alf; Wanick, Vanissa; Dondio, Pierpaolo (Ed.): Games and Learning Alliance, pp. 307–316, Springer Nature Switzerland, Cham, 2025, ISBN: 978-3-031-78268-8 978-3-031-78269-5, (Series Title: Lecture Notes in Computer Science).
@inproceedings{schonbohm_serious_2025,
title = {Serious Games as Emerging E-Health Interventions: Design of an Exergame for the SMILER Project},
author = {Agnese Augello and Giuseppe Caggianese and Giuseppe Fulvio Gaglio and Luigi Gallo and Velia Malizia and Stefania La Grutta and Giancarlo Tancredi and Attilio Turchetta and Rosa Anna Vacca and Iris Scala},
editor = {Avo Schönbohm and Francesco Bellotti and Antonio Bucchiarone and Francesca De Rosa and Manuel Ninaus and Alf Wang and Vanissa Wanick and Pierpaolo Dondio},
url = {https://link.springer.com/10.1007/978-3-031-78269-5_29},
doi = {10.1007/978-3-031-78269-5_29},
isbn = {978-3-031-78268-8 978-3-031-78269-5},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-07},
booktitle = {Games and Learning Alliance},
volume = {15348},
pages = {307–316},
publisher = {Springer Nature Switzerland},
address = {Cham},
note = {Series Title: Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2024
Rausa, Maria; Gaglio, Salvatore; Augello, Agnese; Caggianese, Giuseppe; Franchini, Silvia; Gallo, Luigi; Sabatucci, Luca
Enriching Metaverse with Memories Through Generative AI: A Case Study Proceedings Article
In: 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 371–376, Institute of Electrical and Electronics Engineers Inc., St Albans, United Kingdom, 2024.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Metaverse, Modeling, Virtual Reality
@inproceedings{rausa_enriching_2024,
title = {Enriching Metaverse with Memories Through Generative AI: A Case Study},
author = {Maria Rausa and Salvatore Gaglio and Agnese Augello and Giuseppe Caggianese and Silvia Franchini and Luigi Gallo and Luca Sabatucci},
url = {https://ieeexplore.ieee.org/abstract/document/10796338},
doi = {10.1109/MetroXRAINE62247.2024.10796338},
year = {2024},
date = {2024-10-01},
urldate = {2025-01-08},
booktitle = {2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)},
pages = {371–376},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
address = {St Albans, United Kingdom},
abstract = {The paper introduces MetaMemory, an approach to generate 3D models from either textual descriptions or photographs of objects, offering dual input modes for enhanced representation. MetaMemory's architecture is discussed presenting the tools employed in extracting the object from the image, generating the 3D mesh from texts or images, and visualizing the object reconstruction in an immersive scenario. Afterwards, a case study in which we experienced reconstructing memories of ancient crafts is examined together with the achieved results, by highlighting current limitations and potential applications.},
keywords = {Artificial intelligence, Metaverse, Modeling, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper introduces MetaMemory, an approach to generate 3D models from either textual descriptions or photographs of objects, offering dual input modes for enhanced representation. MetaMemory's architecture is discussed presenting the tools employed in extracting the object from the image, generating the 3D mesh from texts or images, and visualizing the object reconstruction in an immersive scenario. Afterwards, a case study in which we experienced reconstructing memories of ancient crafts is examined together with the achieved results, by highlighting current limitations and potential applications.
Melillo, Antonio; Rachedi, Sarah; Caggianese, Giuseppe; Gallo, Luigi; Maiorano, Patrizia; Gimigliano, Francesca; Lucidi, Fabio; Pietro, Giuseppe De; Guida, Maurizio; Giordano, Antonio; Chirico, Andrea
In: Games for Health Journal, 2024, ISSN: 2161-783X.
Abstract | Links | BibTeX | Tags: Pain, User study, Virtual Reality
@article{melilloSynchronizationVirtualReality2024,
title = {Synchronization of a Virtual Reality Scenario to Uterine Contractions for Labor Pain Management: Development Study and Randomized Controlled Trial},
author = {Antonio Melillo and Sarah Rachedi and Giuseppe Caggianese and Luigi Gallo and Patrizia Maiorano and Francesca Gimigliano and Fabio Lucidi and Giuseppe De Pietro and Maurizio Guida and Antonio Giordano and Andrea Chirico},
url = {https://www.liebertpub.com/doi/full/10.1089/g4h.2023.0202},
doi = {10.1089/g4h.2023.0202},
issn = {2161-783X},
year = {2024},
date = {2024-06-11},
urldate = {2024-06-11},
journal = {Games for Health Journal},
publisher = {Mary Ann Liebert, Inc., publishers},
abstract = {Background: Labor is described as one of the most painful events women can experience through their lives, and labor pain shows unique features and rhythmic fluctuations.Purpose: The present study aims to evaluate virtual reality (VR) analgesic interventions for active labor with biofeedback-based VR technologies synchronized to uterine activity.Materials and Methods: We developed a VR system modeled on uterine contractions by connecting it to cardiotocographic equipment. We conducted a randomized controlled trial on a sample of 74 cases and 80 controls during active labor.Results: Results of the study showed a significant reduction of pain scores compared with both preintervention scores and to control group scores; a significant reduction of anxiety levels both compared with preintervention assessment and to control group and significant reduction in fear of labor experience compared with controls.Conclusion: VR may be considered as an effective nonpharmacological analgesic technique for the treatment of pain and anxiety and fear of childbirth experience during labor. The developed system could improve personalization of care, modulating the multisensory stimulation tailored to labor progression. Further studies are needed to compare the synchronized VR system to uterine activity and unsynchronized VR interventions.},
keywords = {Pain, User study, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Background: Labor is described as one of the most painful events women can experience through their lives, and labor pain shows unique features and rhythmic fluctuations.Purpose: The present study aims to evaluate virtual reality (VR) analgesic interventions for active labor with biofeedback-based VR technologies synchronized to uterine activity.Materials and Methods: We developed a VR system modeled on uterine contractions by connecting it to cardiotocographic equipment. We conducted a randomized controlled trial on a sample of 74 cases and 80 controls during active labor.Results: Results of the study showed a significant reduction of pain scores compared with both preintervention scores and to control group scores; a significant reduction of anxiety levels both compared with preintervention assessment and to control group and significant reduction in fear of labor experience compared with controls.Conclusion: VR may be considered as an effective nonpharmacological analgesic technique for the treatment of pain and anxiety and fear of childbirth experience during labor. The developed system could improve personalization of care, modulating the multisensory stimulation tailored to labor progression. Further studies are needed to compare the synchronized VR system to uterine activity and unsynchronized VR interventions.
Melillo, Antonio; Rachedi, Sarah; Caggianese, Giuseppe; Gallo, Luigi; Maiorano, Patrizia; Gimigliano, Francesca; Lucidi, Fabio; Pietro, Giuseppe De; Guida, Maurizio; Giordano, Antonio; Chirico, Andrea
In: Games for Health Journal, 2024, ISSN: 2161-783X, (Publisher: Mary Ann Liebert, Inc., publishers).
Abstract | Links | BibTeX | Tags: Pain, User study, Virtual Reality
@article{melillo_synchronization_2024,
title = {Synchronization of a Virtual Reality Scenario to Uterine Contractions for Labor Pain Management: Development Study and Randomized Controlled Trial},
author = {Antonio Melillo and Sarah Rachedi and Giuseppe Caggianese and Luigi Gallo and Patrizia Maiorano and Francesca Gimigliano and Fabio Lucidi and Giuseppe De Pietro and Maurizio Guida and Antonio Giordano and Andrea Chirico},
url = {https://www.liebertpub.com/doi/full/10.1089/g4h.2023.0202},
doi = {10.1089/g4h.2023.0202},
issn = {2161-783X},
year = {2024},
date = {2024-06-01},
urldate = {2024-06-19},
journal = {Games for Health Journal},
abstract = {Background: Labor is described as one of the most painful events women can experience through their lives, and labor pain shows unique features and rhythmic fluctuations.Purpose: The present study aims to evaluate virtual reality (VR) analgesic interventions for active labor with biofeedback-based VR technologies synchronized to uterine activity.Materials and Methods: We developed a VR system modeled on uterine contractions by connecting it to cardiotocographic equipment. We conducted a randomized controlled trial on a sample of 74 cases and 80 controls during active labor.Results: Results of the study showed a significant reduction of pain scores compared with both preintervention scores and to control group scores; a significant reduction of anxiety levels both compared with preintervention assessment and to control group and significant reduction in fear of labor experience compared with controls.Conclusion: VR may be considered as an effective nonpharmacological analgesic technique for the treatment of pain and anxiety and fear of childbirth experience during labor. The developed system could improve personalization of care, modulating the multisensory stimulation tailored to labor progression. Further studies are needed to compare the synchronized VR system to uterine activity and unsynchronized VR interventions.},
note = {Publisher: Mary Ann Liebert, Inc., publishers},
keywords = {Pain, User study, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Background: Labor is described as one of the most painful events women can experience through their lives, and labor pain shows unique features and rhythmic fluctuations.Purpose: The present study aims to evaluate virtual reality (VR) analgesic interventions for active labor with biofeedback-based VR technologies synchronized to uterine activity.Materials and Methods: We developed a VR system modeled on uterine contractions by connecting it to cardiotocographic equipment. We conducted a randomized controlled trial on a sample of 74 cases and 80 controls during active labor.Results: Results of the study showed a significant reduction of pain scores compared with both preintervention scores and to control group scores; a significant reduction of anxiety levels both compared with preintervention assessment and to control group and significant reduction in fear of labor experience compared with controls.Conclusion: VR may be considered as an effective nonpharmacological analgesic technique for the treatment of pain and anxiety and fear of childbirth experience during labor. The developed system could improve personalization of care, modulating the multisensory stimulation tailored to labor progression. Further studies are needed to compare the synchronized VR system to uterine activity and unsynchronized VR interventions.
Rausa, Maria; Gaglio, Salvatore; Augello, Agnese; Caggianese, Giuseppe; Franchini, Silvia; Gallo, Luigi; Sabatucci, Luca
Enriching Metaverse with Memories Through Generative AI: A Case Study Proceedings Article
In: 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 371–376, IEEE, 2024.
BibTeX | Tags:
@inproceedings{rausa_enriching_2024-1,
title = {Enriching Metaverse with Memories Through Generative AI: A Case Study},
author = {Maria Rausa and Salvatore Gaglio and Agnese Augello and Giuseppe Caggianese and Silvia Franchini and Luigi Gallo and Luca Sabatucci},
year = {2024},
date = {2024-01-01},
booktitle = {2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)},
pages = {371–376},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Augello, Agnese; Caggianese, Giuseppe; Gaglio, Giuseppe Fulvio; Gallo, Luigi; Malizia, Velia; Grutta, Stefania La; Tancredi, Giancarlo; Turchetta, Attilio; Vacca, Rosa Anna; Scala, Iris
Serious Games as Emerging E-Health Interventions: Design of an Exergame for the SMILER Project Proceedings Article
In: Schönbohm, Avo; Bellotti, Francesco; Bucchiarone, Antonio; Rosa, Francesca; Ninaus, Manuel; Wang, Alf; Wanick, Vanissa; Dondio, Pierpaolo (Ed.): Games and Learning Alliance, pp. 307–316, Springer Nature Switzerland, Cham, 2024, ISBN: 978-3-031-78269-5.
Abstract | Links | BibTeX | Tags: Healthcare, Human computer interaction, Human motion analysis, Serious game
@inproceedings{augello_serious_2024,
title = {Serious Games as Emerging E-Health Interventions: Design of an Exergame for the SMILER Project},
author = {Agnese Augello and Giuseppe Caggianese and Giuseppe Fulvio Gaglio and Luigi Gallo and Velia Malizia and Stefania La Grutta and Giancarlo Tancredi and Attilio Turchetta and Rosa Anna Vacca and Iris Scala},
editor = {Avo Schönbohm and Francesco Bellotti and Antonio Bucchiarone and Francesca Rosa and Manuel Ninaus and Alf Wang and Vanissa Wanick and Pierpaolo Dondio},
doi = {10.1007/978-3-031-78269-5_29},
isbn = {978-3-031-78269-5},
year = {2024},
date = {2024-01-01},
booktitle = {Games and Learning Alliance},
pages = {307–316},
publisher = {Springer Nature Switzerland},
address = {Cham},
abstract = {This paper outlines the design and implementation of an exergame developed under the strategic Italian CNR project SMILER (Serious gaMes in chILdren with nEurological or Respiratory disorders). The project aims at investigating how Serious Games (SG) can enhance the health conditions of young people with chronic diseases, specifically targeting two categories: individuals with Down Syndrome and those with Asthma. The SG employs a narrative strategy within an immersive, interactive setup. The child’s movements are captured and translated into actions performed by an in-game avatar, who is central to the story. Additionally, a wristband continuously monitors the child’s physiological data, ensuring they remain within the aerobic zone. In this document, the game’s architectural modules and design decisions are described, along with introducing the experimental plan to explore the game’s impact on transcriptome profiling (CTRA) gene patterns and neuropsychological outcomes through an upcoming pilot study.},
keywords = {Healthcare, Human computer interaction, Human motion analysis, Serious game},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper outlines the design and implementation of an exergame developed under the strategic Italian CNR project SMILER (Serious gaMes in chILdren with nEurological or Respiratory disorders). The project aims at investigating how Serious Games (SG) can enhance the health conditions of young people with chronic diseases, specifically targeting two categories: individuals with Down Syndrome and those with Asthma. The SG employs a narrative strategy within an immersive, interactive setup. The child’s movements are captured and translated into actions performed by an in-game avatar, who is central to the story. Additionally, a wristband continuously monitors the child’s physiological data, ensuring they remain within the aerobic zone. In this document, the game’s architectural modules and design decisions are described, along with introducing the experimental plan to explore the game’s impact on transcriptome profiling (CTRA) gene patterns and neuropsychological outcomes through an upcoming pilot study.
Franchini, Silvia; Hildenbrand, Dietmar; Saribatir, Ed; Vitabile, Salvatore
A FPGA Coprocessor for Accelerating Geometric Algebra Algorithms based on the GAPPCO Design Proceedings Article
In: Proceedings of 9th International Conference on Applied Geometric Algebras in Computer Science and Engineering (AGACSE 2024), Amsterdam, The Netherlands, 2024.
BibTeX | Tags:
@inproceedings{franchini_fpga_2024,
title = {A FPGA Coprocessor for Accelerating Geometric Algebra Algorithms based on the GAPPCO Design},
author = {Silvia Franchini and Dietmar Hildenbrand and Ed Saribatir and Salvatore Vitabile},
year = {2024},
date = {2024-01-01},
booktitle = {Proceedings of 9th International Conference on Applied Geometric Algebras in Computer Science and Engineering (AGACSE 2024)},
address = {Amsterdam, The Netherlands},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2023
Sabatucci, Luca; Augello, Agnese; Caggianese, Giuseppe; Gallo, Luigi
Envisioning Digital Practices in the Metaverse: A Methodological Perspective Journal Article
In: Future Internet, vol. 15, no. 12, pp. 1–19, 2023, ISSN: 1999-5903, (Number: 394 Publisher: Multidisciplinary Digital Publishing Institute).
Abstract | Links | BibTeX | Tags: Digital Practices, Digital Twins, Metaverse, NPC, Social Practices
@article{sabatucci_envisioning_2023,
title = {Envisioning Digital Practices in the Metaverse: A Methodological Perspective},
author = {Luca Sabatucci and Agnese Augello and Giuseppe Caggianese and Luigi Gallo},
url = {https://www.mdpi.com/1999-5903/15/12/394},
doi = {10.3390/fi15120394},
issn = {1999-5903},
year = {2023},
date = {2023-12-01},
urldate = {2023-12-07},
journal = {Future Internet},
volume = {15},
number = {12},
pages = {1–19},
abstract = {Researchers are exploring methods that exploit digital twins as all-purpose abstractions for sophisticated modelling and simulation, bringing elements of the real world into the virtual realm. Digital twins are essential elements of the digital transformation of society, which mostly benefit manufacturing, smart cities, healthcare contexts, and in general systems that include humans in the loop. As the metaverse concept continues to evolve, the line separating the virtual and the real will progressively fade away. Considering the metaverse’s goal to emulate our social reality, it becomes essential to examine the aspects that characterise real-world interaction practices and explicitly model both physical and social contexts. While the unfolding metaverse may reshape these practices in distinct ways from their real-world counterparts, our position is that it is essential to incorporate social theories into the modelling processes of digital twins within the metaverse. In this work, we discuss our perspective by introducing a digital practice model inspired by the theory of social practice. We illustrate this model by exploiting the scenario of a virtual grocery shop designed to help older adults reduce their social isolation.},
note = {Number: 394
Publisher: Multidisciplinary Digital Publishing Institute},
keywords = {Digital Practices, Digital Twins, Metaverse, NPC, Social Practices},
pubstate = {published},
tppubtype = {article}
}
Researchers are exploring methods that exploit digital twins as all-purpose abstractions for sophisticated modelling and simulation, bringing elements of the real world into the virtual realm. Digital twins are essential elements of the digital transformation of society, which mostly benefit manufacturing, smart cities, healthcare contexts, and in general systems that include humans in the loop. As the metaverse concept continues to evolve, the line separating the virtual and the real will progressively fade away. Considering the metaverse’s goal to emulate our social reality, it becomes essential to examine the aspects that characterise real-world interaction practices and explicitly model both physical and social contexts. While the unfolding metaverse may reshape these practices in distinct ways from their real-world counterparts, our position is that it is essential to incorporate social theories into the modelling processes of digital twins within the metaverse. In this work, we discuss our perspective by introducing a digital practice model inspired by the theory of social practice. We illustrate this model by exploiting the scenario of a virtual grocery shop designed to help older adults reduce their social isolation.
Dipanda, Albert; Gallo, Luigi; Yetongnon, Kokou (Ed.)
2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Proceedings
IEEE Computer Society, 2023, ISBN: 979-8-3503-7091-1.
Abstract | Links | BibTeX | Tags: Computer graphics, Image processing
@proceedings{dipanda202317thInternational2023,
title = {2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)},
editor = { Albert Dipanda and Luigi Gallo and Kokou Yetongnon},
url = {https://ieeexplore.ieee.org/servlet/opac?punumber=10472709},
doi = {10.1109/SITIS61268.2023},
isbn = {979-8-3503-7091-1},
year = {2023},
date = {2023-11-10},
urldate = {2024-03-21},
publisher = {IEEE Computer Society},
abstract = {We are pleased to welcome you to SITIS 2023, the seventeenth edition of the IEEE International Conference on Signal-Image Technology & Internet-Based Systems. We thank the authors for their valuable contributions to the conference. SITIS 2023 aims to bring together researchers from the major communities of signal/image processing and information modeling and analysis, and to foster crossdisciplinary collaborations. The conference consists of two tracks: SIVT (Signal & Image and Vision Technology), which focuses on recent developments and evolutions in signal processing, image analysis, vision, coding & authentication, and retrieval techniques; and ISSA (Intelligent Systems Services and Applications), which covers emerging concepts, architectures, protocols, and methodologies for data management on the Web and the Internet of Things technologies that connect unlimited numbers of smart objects. In addition to these tracks, SITIS 2023 also features some workshops that address a wide range of related but more specific topics.},
keywords = {Computer graphics, Image processing},
pubstate = {published},
tppubtype = {proceedings}
}
We are pleased to welcome you to SITIS 2023, the seventeenth edition of the IEEE International Conference on Signal-Image Technology & Internet-Based Systems. We thank the authors for their valuable contributions to the conference. SITIS 2023 aims to bring together researchers from the major communities of signal/image processing and information modeling and analysis, and to foster crossdisciplinary collaborations. The conference consists of two tracks: SIVT (Signal & Image and Vision Technology), which focuses on recent developments and evolutions in signal processing, image analysis, vision, coding & authentication, and retrieval techniques; and ISSA (Intelligent Systems Services and Applications), which covers emerging concepts, architectures, protocols, and methodologies for data management on the Web and the Internet of Things technologies that connect unlimited numbers of smart objects. In addition to these tracks, SITIS 2023 also features some workshops that address a wide range of related but more specific topics.
Gaglio, Giuseppe Fulvio; Augello, Agnese; Pipitone, Arianna; Gallo, Luigi; Sorbello, Rosario; Chella, Antonio
Moral Mediators in the Metaverse: Exploring Artificial Morality through a Talking Cricket Paradigm (regular paper) Proceedings Article
In: Bruno, Alessandro; Pipitone, Arianna; Manzotti, Riccardo; Augello, Agnese; Mazzeo, Pier Luigi; Vella, Filippo; Chella, Antonio (Ed.): Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023), pp. 30–43, CEUR, Roma, Italy, 2023, (ISSN: 1613-0073).
@inproceedings{gaglio_moral_2023-1,
title = {Moral Mediators in the Metaverse: Exploring Artificial Morality through a Talking Cricket Paradigm (regular paper)},
author = {Giuseppe Fulvio Gaglio and Agnese Augello and Arianna Pipitone and Luigi Gallo and Rosario Sorbello and Antonio Chella},
editor = {Alessandro Bruno and Arianna Pipitone and Riccardo Manzotti and Agnese Augello and Pier Luigi Mazzeo and Filippo Vella and Antonio Chella},
url = {https://ceur-ws.org/Vol-3563/#paper_9},
year = {2023},
date = {2023-11-01},
urldate = {2023-11-27},
booktitle = {Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023)},
volume = {3563},
pages = {30–43},
publisher = {CEUR},
address = {Roma, Italy},
series = {CEUR Workshop Proceedings},
note = {ISSN: 1613-0073},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gaglio, Giuseppe Fulvio; Augello, Agnese; Pipitone, Arianna; Gallo, Luigi; Sorbello, Rosario; Chella, Antonio
Moral Mediators in the Metaverse: Exploring Artificial Morality through a Talking Cricket Paradigm Proceedings Article
In: Bruno, Alessandro; Pipitone, Arianna; Manzotti, Riccardo; Augello, Agnese; Mazzeo, Pier Luigi; Vella, Filippo; Chella, Antonio (Ed.): Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023), pp. 30–43, CEUR, Roma, Italy, 2023, (ISSN: 1613-0073).
Abstract | Links | BibTeX | Tags: Artificial intelligence, Virtual Reality
@inproceedings{gaglio_moral_2023,
title = {Moral Mediators in the Metaverse: Exploring Artificial Morality through a Talking Cricket Paradigm},
author = {Giuseppe Fulvio Gaglio and Agnese Augello and Arianna Pipitone and Luigi Gallo and Rosario Sorbello and Antonio Chella},
editor = {Alessandro Bruno and Arianna Pipitone and Riccardo Manzotti and Agnese Augello and Pier Luigi Mazzeo and Filippo Vella and Antonio Chella},
url = {https://ceur-ws.org/Vol-3563/#paper_9},
year = {2023},
date = {2023-11-01},
urldate = {2023-11-27},
booktitle = {Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023)},
volume = {3563},
pages = {30–43},
publisher = {CEUR},
address = {Roma, Italy},
series = {CEUR Workshop Proceedings},
abstract = {As technological innovations continue to shape our social interactions, the Metaverse introduces im mersive experiences that reflect real-life practices, accessible by users through their avatars. However, these interactions also bring forth potential negative aspects, including discrimination and cyberbullying. While current automatic detection systems exist, educating users on appropriate behaviour remains crucial. Leveraging recent advancements in Artificial Intelligence, the paper focuses on creating virtual AI-controlled moral agents within the Metaverse to guide users in dealing with moral dilemmas. The research aims to understand how such agents impact users’ perceptions and behaviours in ethically challenging virtual environments.},
note = {ISSN: 1613-0073},
keywords = {Artificial intelligence, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
As technological innovations continue to shape our social interactions, the Metaverse introduces im mersive experiences that reflect real-life practices, accessible by users through their avatars. However, these interactions also bring forth potential negative aspects, including discrimination and cyberbullying. While current automatic detection systems exist, educating users on appropriate behaviour remains crucial. Leveraging recent advancements in Artificial Intelligence, the paper focuses on creating virtual AI-controlled moral agents within the Metaverse to guide users in dealing with moral dilemmas. The research aims to understand how such agents impact users’ perceptions and behaviours in ethically challenging virtual environments.
Dipanda, Albert; Gallo, Luigi; Yetongnon, Kokou (Ed.)
2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Book
IEEE Computer Society, 2023, ISBN: 979-8-3503-7091-1, (tex.referencetype: proceedings).
Abstract | Links | BibTeX | Tags: Computer graphics, Image processing
@book{dipanda_2023_2023,
title = {2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)},
editor = {Albert Dipanda and Luigi Gallo and Kokou Yetongnon},
url = {https://ieeexplore.ieee.org/servlet/opac?punumber=10472709},
isbn = {979-8-3503-7091-1},
year = {2023},
date = {2023-11-01},
publisher = {IEEE Computer Society},
abstract = {We are pleased to welcome you to SITIS 2023, the seventeenth edition of the IEEE International
Conference on Signal-Image Technology & Internet-Based Systems. We thank the authors for their
valuable contributions to the conference. SITIS 2023 aims to bring together researchers from the major
communities of signal/image processing and information modeling and analysis, and to foster crossdisciplinary
collaborations. The conference consists of two tracks: SIVT (Signal & Image and Vision
Technology), which focuses on recent developments and evolutions in signal processing, image
analysis, vision, coding & authentication, and retrieval techniques; and ISSA (Intelligent Systems
Services and Applications), which covers emerging concepts, architectures, protocols, and
methodologies for data management on the Web and the Internet of Things technologies that connect
unlimited numbers of smart objects. In addition to these tracks, SITIS 2023 also features some
workshops that address a wide range of related but more specific topics.},
note = {tex.referencetype: proceedings},
keywords = {Computer graphics, Image processing},
pubstate = {published},
tppubtype = {book}
}
We are pleased to welcome you to SITIS 2023, the seventeenth edition of the IEEE International
Conference on Signal-Image Technology & Internet-Based Systems. We thank the authors for their
valuable contributions to the conference. SITIS 2023 aims to bring together researchers from the major
communities of signal/image processing and information modeling and analysis, and to foster crossdisciplinary
collaborations. The conference consists of two tracks: SIVT (Signal & Image and Vision
Technology), which focuses on recent developments and evolutions in signal processing, image
analysis, vision, coding & authentication, and retrieval techniques; and ISSA (Intelligent Systems
Services and Applications), which covers emerging concepts, architectures, protocols, and
methodologies for data management on the Web and the Internet of Things technologies that connect
unlimited numbers of smart objects. In addition to these tracks, SITIS 2023 also features some
workshops that address a wide range of related but more specific topics.
Conference on Signal-Image Technology & Internet-Based Systems. We thank the authors for their
valuable contributions to the conference. SITIS 2023 aims to bring together researchers from the major
communities of signal/image processing and information modeling and analysis, and to foster crossdisciplinary
collaborations. The conference consists of two tracks: SIVT (Signal & Image and Vision
Technology), which focuses on recent developments and evolutions in signal processing, image
analysis, vision, coding & authentication, and retrieval techniques; and ISSA (Intelligent Systems
Services and Applications), which covers emerging concepts, architectures, protocols, and
methodologies for data management on the Web and the Internet of Things technologies that connect
unlimited numbers of smart objects. In addition to these tracks, SITIS 2023 also features some
workshops that address a wide range of related but more specific topics.
Gaglio, Giuseppe Fulvio; Augello, Agnese; Pipitone, Arianna; Gallo, Luigi; Sorbello, Rosario; Chella, Antonio
Moral Mediators in the Metaverse: Exploring Artificial Morality through a Talking Cricket Paradigm Best Paper Proceedings Article
In: Bruno, Alessandro; Pipitone, Arianna; Manzotti, Riccardo; Augello, Agnese; Mazzeo, Pier Luigi; Vella, Filippo; Chella, Antonio (Ed.): Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023), pp. 30–43, CEUR, Roma, Italy, 2023, ISSN: 1613-0073.
Abstract | BibTeX | Tags: Artificial intelligence, Virtual Reality
@inproceedings{gaglioMoralMediatorsMetaverse2023a,
title = {Moral Mediators in the Metaverse: Exploring Artificial Morality through a Talking Cricket Paradigm},
author = { Giuseppe Fulvio Gaglio and Agnese Augello and Arianna Pipitone and Luigi Gallo and Rosario Sorbello and Antonio Chella},
editor = { Alessandro Bruno and Arianna Pipitone and Riccardo Manzotti and Agnese Augello and Pier Luigi Mazzeo and Filippo Vella and Antonio Chella},
issn = {1613-0073},
year = {2023},
date = {2023-11-01},
urldate = {2023-11-01},
booktitle = {Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023)},
volume = {3563},
pages = {30–43},
publisher = {CEUR},
address = {Roma, Italy},
series = {CEUR Workshop Proceedings},
abstract = {As technological innovations continue to shape our social interactions, the Metaverse introduces immersive experiences that reflect real-life practices, accessible by users through their avatars. However, these interactions also bring forth potential negative aspects, including discrimination and cyberbullying. While current automatic detection systems exist, educating users on appropriate behaviour remains crucial. Leveraging recent advancements in Artificial Intelligence, the paper focuses on creating virtual AI-controlled moral agents within the Metaverse to guide users in dealing with moral dilemmas. The research aims to understand how such agents impact users’ perceptions and behaviours in ethically challenging virtual environments.},
keywords = {Artificial intelligence, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
As technological innovations continue to shape our social interactions, the Metaverse introduces immersive experiences that reflect real-life practices, accessible by users through their avatars. However, these interactions also bring forth potential negative aspects, including discrimination and cyberbullying. While current automatic detection systems exist, educating users on appropriate behaviour remains crucial. Leveraging recent advancements in Artificial Intelligence, the paper focuses on creating virtual AI-controlled moral agents within the Metaverse to guide users in dealing with moral dilemmas. The research aims to understand how such agents impact users’ perceptions and behaviours in ethically challenging virtual environments.
Sabatucci, Luca; Augello, Agnese; Caggianese, Giuseppe; Gallo, Luigi
Digital Practices: Introducing Social Dimension in Digital Twins Proceedings Article
In: 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 52–57, IEEE, Milano, Italy, 2023, ISBN: 9798350300802.
Abstract | Links | BibTeX | Tags: Cyber-Physical Systems, Digital Twins, Elderly
@inproceedings{sabatucciDigitalPracticesIntroducing2023,
title = {Digital Practices: Introducing Social Dimension in Digital Twins},
author = { Luca Sabatucci and Agnese Augello and Giuseppe Caggianese and Luigi Gallo},
url = {https://ieeexplore.ieee.org/document/10405710/},
doi = {10.1109/MetroXRAINE58569.2023.10405710},
isbn = {9798350300802},
year = {2023},
date = {2023-10-25},
urldate = {2024-02-19},
booktitle = {2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)},
pages = {52–57},
publisher = {IEEE},
address = {Milano, Italy},
abstract = {Digital Twin is one of the key components of society's digital transformation and a promising paradigm to support the development of cyber-physical systems. Currently, researchers are investigating methodologies that exploit Digital Twins as general-purpose abstractions for complex modelling and simulation. This paper explores the idea of explicitly representing the physical and social context in cyber-physical systems through dynamic digital entities. To this aim, we introduce the concept of Digital Practice as a shared (social) digital concept, highlighting how reality is not merely described by the state of physical objects (digital twins) but also by connections among them. We illustrate this concept by exploiting an assistance scenario for the elderly.},
keywords = {Cyber-Physical Systems, Digital Twins, Elderly},
pubstate = {published},
tppubtype = {inproceedings}
}
Digital Twin is one of the key components of society's digital transformation and a promising paradigm to support the development of cyber-physical systems. Currently, researchers are investigating methodologies that exploit Digital Twins as general-purpose abstractions for complex modelling and simulation. This paper explores the idea of explicitly representing the physical and social context in cyber-physical systems through dynamic digital entities. To this aim, we introduce the concept of Digital Practice as a shared (social) digital concept, highlighting how reality is not merely described by the state of physical objects (digital twins) but also by connections among them. We illustrate this concept by exploiting an assistance scenario for the elderly.