Publications
OUR RESEARCH
Scientific Publications
Here you can find the comprehensive list of publications from the members of the Research Center on Computer Vision and eXtended Reality (xRAI).
Use the tag cloud to filter papers based on specific research topics, or use the menus to filter by year, type of publication, or authors.
For each paper, you have the option to view additional details such as the Abstract, Links, and BibTex record.
Research is formalized curiosity. It is poking and prying with a purpose
Zora Neale Hurston
2026
Barone, Salvatore; Gallo, Luigi; Maggioli, Filippo
Ablation Study of Hyperparameters in Spiking Neural Networks: A Case Study for Event-Based Gesture Recognition Proceedings Article
In: 2026 6th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE), pp. 73–80, 2026.
Abstract | Links | BibTeX | Tags:
@inproceedings{barone_ablation_2026,
title = {Ablation Study of Hyperparameters in Spiking Neural Networks: A Case Study for Event-Based Gesture Recognition},
author = {Salvatore Barone and Luigi Gallo and Filippo Maggioli},
url = {https://ieeexplore.ieee.org/document/11607606/},
doi = {10.1109/MLISE70044.2026.11607606},
year = {2026},
date = {2026-05-01},
urldate = {2026-07-27},
booktitle = {2026 6th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)},
pages = {73–80},
abstract = {Spiking Neural Networks (SNNs) are a promising paradigm for neuromorphic computing, particularly for processing event-based sensory data. Their performance, however, strongly depends on several design choices, including input encoding, preprocessing, neuron model, and training hyperparameters. We present an ablation study aimed at evaluating the impact of these factors on an event-based gesture recognition task using the IBM DVS128 Gesture dataset. Specifically, we analyze the effects of denoising and to-frame preprocessing parameters, together with the role of first-order and second-order Leaky Integrate-and-Fire (LIF) neuron configurations, including threshold, decay terms, and reset mechanism. Experimental results show that preprocessing parameters have a strong and non-linear influence on performance, with intermediate values providing the best trade-off between optimization and generalization. In addition, learned neuronal parameters, particularly thresholds and decay coefficients, improve out-of-sample accuracy in several configurations. Our findings indicate that SNN performance arises from a complex interaction among data representation, temporal aggregation, and neuron dynamics. Overall, our study highlights the importance of systematic hyperparameter tuning and provides practical insights for the design of effective SNNbased models for neuromorphic vision applications.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Spiking Neural Networks (SNNs) are a promising paradigm for neuromorphic computing, particularly for processing event-based sensory data. Their performance, however, strongly depends on several design choices, including input encoding, preprocessing, neuron model, and training hyperparameters. We present an ablation study aimed at evaluating the impact of these factors on an event-based gesture recognition task using the IBM DVS128 Gesture dataset. Specifically, we analyze the effects of denoising and to-frame preprocessing parameters, together with the role of first-order and second-order Leaky Integrate-and-Fire (LIF) neuron configurations, including threshold, decay terms, and reset mechanism. Experimental results show that preprocessing parameters have a strong and non-linear influence on performance, with intermediate values providing the best trade-off between optimization and generalization. In addition, learned neuronal parameters, particularly thresholds and decay coefficients, improve out-of-sample accuracy in several configurations. Our findings indicate that SNN performance arises from a complex interaction among data representation, temporal aggregation, and neuron dynamics. Overall, our study highlights the importance of systematic hyperparameter tuning and provides practical insights for the design of effective SNNbased models for neuromorphic vision applications.
Nenna, Raffaella; Manti, Sara; Ferrante, Giuliana; Malizia, Velia; Alfano, Pietro; Parisi, Giuseppe Fabio; Regina, Domenico Paolo La; Gallo, Luigi; Pandolfo, Alessandra; Licari, Amelia; Grutta, Stefania La
Impact of digital technologies on pediatric asthma care Journal Article
In: Pediatric Respiratory Journal, vol. 04, no. 01, pp. 2–15, 2026, ISSN: 3035-2134.
Abstract | Links | BibTeX | Tags: Artificial Intelligence, Asthma, Healthcare, Mobile Application, Serious games
@article{nenna_impact_2026,
title = {Impact of digital technologies on pediatric asthma care},
author = {Raffaella Nenna and Sara Manti and Giuliana Ferrante and Velia Malizia and Pietro Alfano and Giuseppe Fabio Parisi and Domenico Paolo La Regina and Luigi Gallo and Alessandra Pandolfo and Amelia Licari and Stefania La Grutta},
url = {https://www.pediatric-respiratory-journal.com/impact-of-digital-technologies-on-pediatric-asthma-care/},
doi = {10.56164/PediatrRespirJ.2026.01},
issn = {3035-2134},
year = {2026},
date = {2026-04-01},
urldate = {2026-04-03},
journal = {Pediatric Respiratory Journal},
volume = {04},
number = {01},
pages = {2–15},
publisher = {Edra Media S.r.l.},
abstract = {Asthma is one of the most common chronic diseases in children, significantly impacting their health, quality of life, and healthcare systems globally. Pediatric asthma accounts for substantial morbidity, including frequent exacerbations, emergency department visits, and missed school days. Despite the availability of effective treatments and clear management guidelines, achieving optimal asthma control remains a challenge. In recent years, digital technologies have emerged as transformative tools in asthma care, offering new ways to monitor, educate, and treat pediatric patients. A systematic review was conducted to examine the impact of digital technologies on pediatric asthma care, synthesizing evidence on their effectiveness, challenges, and future directions. Covering studies from January 2020 to December 2024, the review analyzed 59 primary studies that involved mobile health (mHealth) applications, electronic medication monitoring systems, wearable devices, artificial intelligence (AI)-powered solutions, and school-based telemedicine programs. Findings reveal that mHealth applications and serious games promote self-management, improve medication adherence, and support patient education. Telemedicine, including school-based and remote patient monitoring, enhances care accessibility, reduces emergency visits, and promotes continuity of care, particularly in underserved populations. Wearable devices and electronic monitoring tools enhance symptom tracking and evaluation of inhaler technique. AI-driven interventions, such as digital twin systems, show promise in personalizing treatment and predicting exacerbations. Despite encouraging outcomes, challenges remain, including digital literacy gaps, limited access to devices and the internet, and difficulties integrating digital tools into clinical workflows. Usability and sustainability vary widely depending on design approaches, caregiver engagement, and infrastructure readiness.},
keywords = {Artificial Intelligence, Asthma, Healthcare, Mobile Application, Serious games},
pubstate = {published},
tppubtype = {article}
}
Asthma is one of the most common chronic diseases in children, significantly impacting their health, quality of life, and healthcare systems globally. Pediatric asthma accounts for substantial morbidity, including frequent exacerbations, emergency department visits, and missed school days. Despite the availability of effective treatments and clear management guidelines, achieving optimal asthma control remains a challenge. In recent years, digital technologies have emerged as transformative tools in asthma care, offering new ways to monitor, educate, and treat pediatric patients. A systematic review was conducted to examine the impact of digital technologies on pediatric asthma care, synthesizing evidence on their effectiveness, challenges, and future directions. Covering studies from January 2020 to December 2024, the review analyzed 59 primary studies that involved mobile health (mHealth) applications, electronic medication monitoring systems, wearable devices, artificial intelligence (AI)-powered solutions, and school-based telemedicine programs. Findings reveal that mHealth applications and serious games promote self-management, improve medication adherence, and support patient education. Telemedicine, including school-based and remote patient monitoring, enhances care accessibility, reduces emergency visits, and promotes continuity of care, particularly in underserved populations. Wearable devices and electronic monitoring tools enhance symptom tracking and evaluation of inhaler technique. AI-driven interventions, such as digital twin systems, show promise in personalizing treatment and predicting exacerbations. Despite encouraging outcomes, challenges remain, including digital literacy gaps, limited access to devices and the internet, and difficulties integrating digital tools into clinical workflows. Usability and sustainability vary widely depending on design approaches, caregiver engagement, and infrastructure readiness.
Gallo, Luigi; Carruba, Maria Concetta; Ferraro, Antonino; Lund, Henrik Hautop; Rega, Angelo; Triberti, Stefano
Editorial: AI innovations in education: adaptive learning and beyond Journal Article
In: Frontiers in Computer Science, vol. 8, pp. 1822456, 2026, ISSN: 2624-9898.
Links | BibTeX | Tags: adaptive learning, AI literacy, artificial intelligence in education (AIeD), ethical AI, Generative AI, human-AI synergy, multimodal learning analytics (MMLA), personalized learning
@article{galloEditorialAIInnovations2026,
title = {Editorial: AI innovations in education: adaptive learning and beyond},
author = {Luigi Gallo and Maria Concetta Carruba and Antonino Ferraro and Henrik Hautop Lund and Angelo Rega and Stefano Triberti},
url = {https://www.frontiersin.org/articles/10.3389/fcomp.2026.1822456/full},
doi = {10.3389/fcomp.2026.1822456},
issn = {2624-9898},
year = {2026},
date = {2026-03-01},
urldate = {2026-06-22},
journal = {Frontiers in Computer Science},
volume = {8},
pages = {1822456},
keywords = {adaptive learning, AI literacy, artificial intelligence in education (AIeD), ethical AI, Generative AI, human-AI synergy, multimodal learning analytics (MMLA), personalized learning},
pubstate = {published},
tppubtype = {article}
}
Gallo, Luigi; Carruba, Maria Concetta; Ferraro, Antonino; Lund, Henrik Hautop; Rega, Angelo; Triberti, Stefano
Editorial: AI innovations in education: adaptive learning and beyond Journal Article
In: Frontiers in Computer Science, vol. 8, pp. 1822456, 2026, ISSN: 2624-9898.
Abstract | Links | BibTeX | Tags: adaptive learning, AI literacy, Artificial Intelligence, artificial intelligence in education (AIeD), Education, ethical AI, Generative AI, human-AI synergy, multimodal learning analytics (MMLA), personalized learning
@article{gallo_editorial_2026,
title = {Editorial: AI innovations in education: adaptive learning and beyond},
author = {Luigi Gallo and Maria Concetta Carruba and Antonino Ferraro and Henrik Hautop Lund and Angelo Rega and Stefano Triberti},
url = {https://www.frontiersin.org/articles/10.3389/fcomp.2026.1822456/full},
doi = {10.3389/fcomp.2026.1822456},
issn = {2624-9898},
year = {2026},
date = {2026-03-01},
urldate = {2026-04-03},
journal = {Frontiers in Computer Science},
volume = {8},
pages = {1822456},
publisher = {Frontiers Media SA},
abstract = {Artificial Intelligence (AI) is gradually transforming educational practices. AI-powered teaching assistants, large language models, and multimodal analytics platforms are reshaping how learning experiences are designed and assessed. However, AI integration is not merely a technological matter: it is also heavily influenced by pedagogical, psychological, and sociocultural factors. Beyond technical implementation, AI systems can be framed within a human augmentation perspective, where technologies enhance sensory, motor, and cognitive processes in hybrid environments (Augello et al., 2022), including immersive contexts in which presence and cognition dynamically interact (Palombi et al., 2023). At the same time, advances in adaptive and data-driven AI, including explainable and diversity-aware approaches, highlight the role of algorithmic choices in shaping users' experiences and behaviors (Ferraro et al., 2025). Recent studies further show that, while educators are using AI tools for instructional purposes (e.g., creating teaching materials), concerns remain about the risk of unfair AI use and the difficulty of detecting it (Amato et al., 2023; Carruba et al., 2025). Accordingly, research on AI in education is becoming increasingly focused on factors that support implementation and adoption in real-life contexts, beyond mere improvement of algorithms from a computer science perspective (Triberti et al., 2024; Acosta-Enriquez et al., 2025; Galindo-Domĺnguez et al., 2024).
Against this backdrop, this Research Topic (RT), which spans four Frontiers journals, focuses on empirical and theoretical aspects of personalized and adaptive learning. More specifically, it examines the role of AI in fostering inclusive, data-driven, and emotionally responsive educational ecosystems, with particular attention to motivation, beliefs, creativity, self-regulation, and ethics.
For analytical clarity, the contributions are organized into six interrelated thematic areas: AI Adoption, Acceptance, and Self-Regulation; Teacher AI Literacy and Sustainable Integration; Adaptive, Immersive, and AI-Enhanced Learning Environments; Multimodal Analytics, Assessment, and Predictive AI; Learner Psychological, Cognitive, and Sociocultural Factors; Conceptual, Ethical, and Human-AI Synergy Perspectives. These areas reflect three broader dimensions of current research: the adoption of AI by learners and teachers, the design of intelligent learning environments, and the broader psychological and ethical implications of AI-supported education.},
keywords = {adaptive learning, AI literacy, Artificial Intelligence, artificial intelligence in education (AIeD), Education, ethical AI, Generative AI, human-AI synergy, multimodal learning analytics (MMLA), personalized learning},
pubstate = {published},
tppubtype = {article}
}
Artificial Intelligence (AI) is gradually transforming educational practices. AI-powered teaching assistants, large language models, and multimodal analytics platforms are reshaping how learning experiences are designed and assessed. However, AI integration is not merely a technological matter: it is also heavily influenced by pedagogical, psychological, and sociocultural factors. Beyond technical implementation, AI systems can be framed within a human augmentation perspective, where technologies enhance sensory, motor, and cognitive processes in hybrid environments (Augello et al., 2022), including immersive contexts in which presence and cognition dynamically interact (Palombi et al., 2023). At the same time, advances in adaptive and data-driven AI, including explainable and diversity-aware approaches, highlight the role of algorithmic choices in shaping users' experiences and behaviors (Ferraro et al., 2025). Recent studies further show that, while educators are using AI tools for instructional purposes (e.g., creating teaching materials), concerns remain about the risk of unfair AI use and the difficulty of detecting it (Amato et al., 2023; Carruba et al., 2025). Accordingly, research on AI in education is becoming increasingly focused on factors that support implementation and adoption in real-life contexts, beyond mere improvement of algorithms from a computer science perspective (Triberti et al., 2024; Acosta-Enriquez et al., 2025; Galindo-Domĺnguez et al., 2024).
Against this backdrop, this Research Topic (RT), which spans four Frontiers journals, focuses on empirical and theoretical aspects of personalized and adaptive learning. More specifically, it examines the role of AI in fostering inclusive, data-driven, and emotionally responsive educational ecosystems, with particular attention to motivation, beliefs, creativity, self-regulation, and ethics.
For analytical clarity, the contributions are organized into six interrelated thematic areas: AI Adoption, Acceptance, and Self-Regulation; Teacher AI Literacy and Sustainable Integration; Adaptive, Immersive, and AI-Enhanced Learning Environments; Multimodal Analytics, Assessment, and Predictive AI; Learner Psychological, Cognitive, and Sociocultural Factors; Conceptual, Ethical, and Human-AI Synergy Perspectives. These areas reflect three broader dimensions of current research: the adoption of AI by learners and teachers, the design of intelligent learning environments, and the broader psychological and ethical implications of AI-supported education.
Against this backdrop, this Research Topic (RT), which spans four Frontiers journals, focuses on empirical and theoretical aspects of personalized and adaptive learning. More specifically, it examines the role of AI in fostering inclusive, data-driven, and emotionally responsive educational ecosystems, with particular attention to motivation, beliefs, creativity, self-regulation, and ethics.
For analytical clarity, the contributions are organized into six interrelated thematic areas: AI Adoption, Acceptance, and Self-Regulation; Teacher AI Literacy and Sustainable Integration; Adaptive, Immersive, and AI-Enhanced Learning Environments; Multimodal Analytics, Assessment, and Predictive AI; Learner Psychological, Cognitive, and Sociocultural Factors; Conceptual, Ethical, and Human-AI Synergy Perspectives. These areas reflect three broader dimensions of current research: the adoption of AI by learners and teachers, the design of intelligent learning environments, and the broader psychological and ethical implications of AI-supported education.
Augello, Agnese; Caggianese, Giuseppe; Antaranian, Sotiria; Zissis, George; Pietro, Giuseppe De; Gallo, Luigi
Expert‐Based Usability Evaluation of an mHealth Application for Older Adults: A Mixed‐Method Approach Journal Article
In: Human Behavior and Emerging Technologies, vol. 2026, no. 1, pp. 6622167, 2026, ISSN: 2578-1863, 2578-1863.
Abstract | Links | BibTeX | Tags:
@article{augelloExpertBasedUsabilityEvaluation2026,
title = {Expert‐Based Usability Evaluation of an mHealth Application for Older Adults: A Mixed‐Method Approach},
author = {Agnese Augello and Giuseppe Caggianese and Sotiria Antaranian and George Zissis and Giuseppe De Pietro and Luigi Gallo},
editor = {Puspa Setia Pratiwi},
url = {https://onlinelibrary.wiley.com/doi/10.1155/hbe2/6622167},
doi = {10.1155/hbe2/6622167},
issn = {2578-1863, 2578-1863},
year = {2026},
date = {2026-01-01},
urldate = {2026-06-22},
journal = {Human Behavior and Emerging Technologies},
volume = {2026},
number = {1},
pages = {6622167},
abstract = {Demographic aging presents new challenges and highlights the growing need for smart healthcare applications tailored to older adults. This paper presents the assessment of a mobile health application designed to facilitate the communication between healthcare providers and older adults, in the context of the Smart Bear Horizon 2020 project. The study describes a task‐oriented usability assessment, applying a mixed‐method approach through the combination of quantitative metrics of performance, standardized usability assessment questionnaires (ASQ and PSSUQ), and interaction logs, along with qualitative user comments. For this purpose, 50 ICT specialists in digital health were engaged who conducted a structured, expert‐based diagnostic evaluation aimed at identifying usability barriers relevant to older adults prior to end‐user testing. Usability was evaluated in terms of effectiveness, efficiency, and satisfaction, following the ISO 9241‐11: 2018 standard. Results show an overall task completion rate of 83.5% and a PSSUQ score of 3.16 on a 7‐point scale (lower scores indicating higher perceived usability). The findings reveal some critical usability issues, particularly in navigation efficiency and discoverability of specific system features. The study underlines the importance of an expert‐based, mixed‐methods usability evaluation as an initial step in the design of mHealth applications for older adults. This process is crucial in identifying and resolving key usability challenges before engaging vulnerable user populations. The proposed method provides actionable guidance for developing and evaluating more inclusive digital health technologies, supporting expert‐first usability testing as a best practice in the eHealth domain.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Demographic aging presents new challenges and highlights the growing need for smart healthcare applications tailored to older adults. This paper presents the assessment of a mobile health application designed to facilitate the communication between healthcare providers and older adults, in the context of the Smart Bear Horizon 2020 project. The study describes a task‐oriented usability assessment, applying a mixed‐method approach through the combination of quantitative metrics of performance, standardized usability assessment questionnaires (ASQ and PSSUQ), and interaction logs, along with qualitative user comments. For this purpose, 50 ICT specialists in digital health were engaged who conducted a structured, expert‐based diagnostic evaluation aimed at identifying usability barriers relevant to older adults prior to end‐user testing. Usability was evaluated in terms of effectiveness, efficiency, and satisfaction, following the ISO 9241‐11: 2018 standard. Results show an overall task completion rate of 83.5% and a PSSUQ score of 3.16 on a 7‐point scale (lower scores indicating higher perceived usability). The findings reveal some critical usability issues, particularly in navigation efficiency and discoverability of specific system features. The study underlines the importance of an expert‐based, mixed‐methods usability evaluation as an initial step in the design of mHealth applications for older adults. This process is crucial in identifying and resolving key usability challenges before engaging vulnerable user populations. The proposed method provides actionable guidance for developing and evaluating more inclusive digital health technologies, supporting expert‐first usability testing as a best practice in the eHealth domain.
Augello, Agnese; Caggianese, Giuseppe; Antaranian, Sotiria; Zissis, George; Pietro, Giuseppe De; Gallo, Luigi
Expert‐Based Usability Evaluation of an mHealth Application for Older Adults: A Mixed‐Method Approach Journal Article
In: Human Behavior and Emerging Technologies, vol. 2026, no. 1, pp. 6622167, 2026, ISSN: 2578-1863, 2578-1863.
Abstract | Links | BibTeX | Tags: Elderly, Human Computer Interaction, Mobile Application, Usability
@article{augello_expertbased_2026,
title = {Expert‐Based Usability Evaluation of an mHealth Application for Older Adults: A Mixed‐Method Approach},
author = {Agnese Augello and Giuseppe Caggianese and Sotiria Antaranian and George Zissis and Giuseppe De Pietro and Luigi Gallo},
editor = {Puspa Setia Pratiwi},
url = {https://onlinelibrary.wiley.com/doi/10.1155/hbe2/6622167},
doi = {10.1155/hbe2/6622167},
issn = {2578-1863, 2578-1863},
year = {2026},
date = {2026-01-01},
urldate = {2026-05-14},
journal = {Human Behavior and Emerging Technologies},
volume = {2026},
number = {1},
pages = {6622167},
publisher = {Wiley Online Library},
abstract = {Demographic aging presents new challenges and highlights the growing need for smart healthcare applications tailored to older adults. This paper presents the assessment of a mobile health application designed to facilitate the communication between healthcare providers and older adults, in the context of the Smart Bear Horizon 2020 project. The study describes a task‐oriented usability assessment, applying a mixed‐method approach through the combination of quantitative metrics of performance, standardized usability assessment questionnaires (ASQ and PSSUQ), and interaction logs, along with qualitative user comments. For this purpose, 50 ICT specialists in digital health were engaged who conducted a structured, expert‐based diagnostic evaluation aimed at identifying usability barriers relevant to older adults prior to end‐user testing. Usability was evaluated in terms of effectiveness, efficiency, and satisfaction, following the ISO 9241‐11: 2018 standard. Results show an overall task completion rate of 83.5% and a PSSUQ score of 3.16 on a 7‐point scale (lower scores indicating higher perceived usability). The findings reveal some critical usability issues, particularly in navigation efficiency and discoverability of specific system features. The study underlines the importance of an expert‐based, mixed‐methods usability evaluation as an initial step in the design of mHealth applications for older adults. This process is crucial in identifying and resolving key usability challenges before engaging vulnerable user populations. The proposed method provides actionable guidance for developing and evaluating more inclusive digital health technologies, supporting expert‐first usability testing as a best practice in the eHealth domain.},
keywords = {Elderly, Human Computer Interaction, Mobile Application, Usability},
pubstate = {published},
tppubtype = {article}
}
Demographic aging presents new challenges and highlights the growing need for smart healthcare applications tailored to older adults. This paper presents the assessment of a mobile health application designed to facilitate the communication between healthcare providers and older adults, in the context of the Smart Bear Horizon 2020 project. The study describes a task‐oriented usability assessment, applying a mixed‐method approach through the combination of quantitative metrics of performance, standardized usability assessment questionnaires (ASQ and PSSUQ), and interaction logs, along with qualitative user comments. For this purpose, 50 ICT specialists in digital health were engaged who conducted a structured, expert‐based diagnostic evaluation aimed at identifying usability barriers relevant to older adults prior to end‐user testing. Usability was evaluated in terms of effectiveness, efficiency, and satisfaction, following the ISO 9241‐11: 2018 standard. Results show an overall task completion rate of 83.5% and a PSSUQ score of 3.16 on a 7‐point scale (lower scores indicating higher perceived usability). The findings reveal some critical usability issues, particularly in navigation efficiency and discoverability of specific system features. The study underlines the importance of an expert‐based, mixed‐methods usability evaluation as an initial step in the design of mHealth applications for older adults. This process is crucial in identifying and resolving key usability challenges before engaging vulnerable user populations. The proposed method provides actionable guidance for developing and evaluating more inclusive digital health technologies, supporting expert‐first usability testing as a best practice in the eHealth domain.
2025
Santoriello, Vittorio; Ponsiglione, Alfonso Maria; Giugliano, Carmine; Buonaguro, Carmen; Gallo, Luigi; Caggianese, Giuseppe; Cascella, Marco; Pietro, Giuseppe De; Chirico, Andrea; Giordano, Antonio; Amato, Francesco; Romano, Maria; Guida, Maurizio
Virtual Reality and Biosignals for Labor Pain Relief: A Pilot Study Proceedings Article
In: 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 565–569, 2025.
Abstract | Links | BibTeX | Tags: Biosignals, ECG, Heart rate variability, Neural engineering, Pain, Pregnancy, Skin, Visualization, Wearable devices
@inproceedings{santoriello_virtual_2025,
title = {Virtual Reality and Biosignals for Labor Pain Relief: A Pilot Study},
author = {Vittorio Santoriello and Alfonso Maria Ponsiglione and Carmine Giugliano and Carmen Buonaguro and Luigi Gallo and Giuseppe Caggianese and Marco Cascella and Giuseppe De Pietro and Andrea Chirico and Antonio Giordano and Francesco Amato and Maria Romano and Maurizio Guida},
url = {https://ieeexplore.ieee.org/abstract/document/11340443},
doi = {10.1109/MetroXRAINE66377.2025.11340443},
year = {2025},
date = {2025-10-01},
urldate = {2026-02-06},
booktitle = {2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)},
pages = {565–569},
abstract = {Labor pain is intense and multifaceted, requiring effective management to ensure both maternal and neonatal well-being. This study explores the use of virtual reality (VR) as a distraction tool, combined with biosignal monitoring. Electro-dermal activity and heart rate variability (HRV) were recorded using wearable devices on four pregnant women. The acquisition protocol was divided into three phases: before, during, and after VR exposure. To complement the physiological data, the Visual Analog Scale was administered before and after each session. Participants were also asked to evaluate how effective they found the experimental treatment in helping them relax during labor, using a 1 to 10 scale. Results showed reduced sympathetic activity during VR, indicated by lower skin conductance and HRV features (heart rate and low-frequency/high-frequency ratio), suggesting a calming effect. In addition, participants manifested a 55.72% reduction in perceived anxiety and expressed positive appreciation for the VR treatment. Ongoing data collection will allow for deeper investigation of these trends, enabling more detailed analyses during individual contractions and facilitating correlation with subjective questionnaire responses. These findings highlight the potential of VR as a non-invasive, personalized approach to managing labor pain.},
keywords = {Biosignals, ECG, Heart rate variability, Neural engineering, Pain, Pregnancy, Skin, Visualization, Wearable devices},
pubstate = {published},
tppubtype = {inproceedings}
}
Labor pain is intense and multifaceted, requiring effective management to ensure both maternal and neonatal well-being. This study explores the use of virtual reality (VR) as a distraction tool, combined with biosignal monitoring. Electro-dermal activity and heart rate variability (HRV) were recorded using wearable devices on four pregnant women. The acquisition protocol was divided into three phases: before, during, and after VR exposure. To complement the physiological data, the Visual Analog Scale was administered before and after each session. Participants were also asked to evaluate how effective they found the experimental treatment in helping them relax during labor, using a 1 to 10 scale. Results showed reduced sympathetic activity during VR, indicated by lower skin conductance and HRV features (heart rate and low-frequency/high-frequency ratio), suggesting a calming effect. In addition, participants manifested a 55.72% reduction in perceived anxiety and expressed positive appreciation for the VR treatment. Ongoing data collection will allow for deeper investigation of these trends, enabling more detailed analyses during individual contractions and facilitating correlation with subjective questionnaire responses. These findings highlight the potential of VR as a non-invasive, personalized approach to managing labor pain.
Angelis, Grazia De; Saviano, Emilio; Scuotto, Chiara; Iannello, Nicoló M.; Generosi, Andrea; Luca, Valerio De; Rega, Angelo; Triberti, Stefano; Affuso, Gaetana; Gallo, Luigi; Limone, Pierpaolo
2025, (Accepted: 2025-10-16T18:01:10Z).
Abstract | Links | BibTeX | Tags: Psychology, User study, Virtual Reality
@unpublished{de_angelis_utilitarian_2025,
title = {Utilitarian choice and self-serving cognitive distortions: using VR to investigate adolescents’ responses and enhance interventions},
author = {Grazia De Angelis and Emilio Saviano and Chiara Scuotto and Nicoló M. Iannello and Andrea Generosi and Valerio De Luca and Angelo Rega and Stefano Triberti and Gaetana Affuso and Luigi Gallo and Pierpaolo Limone},
url = {https://www.unipegaso.iris.cineca.it/handle/20.500.12607/62203},
year = {2025},
date = {2025-01-01},
urldate = {2026-02-06},
abstract = {11},
note = {Accepted: 2025-10-16T18:01:10Z},
keywords = {Psychology, User study, Virtual Reality},
pubstate = {published},
tppubtype = {unpublished}
}
11
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.
Santoriello, Vittorio; Ponsiglione, Alfonso Maria; Giugliano, Carmine; Buonaguro, Carmen; Gallo, Luigi; Caggianese, Giuseppe; Cascella, Marco; Pietro, Giuseppe De; Chirico, Andrea; Giordano, Antonio
Virtual Reality and Biosignals for Labor Pain Relief: A Pilot Study Proceedings Article
In: 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 565–569, IEEE, 2025.
@inproceedings{santorielloVirtualRealityBiosignals2025,
title = {Virtual Reality and Biosignals for Labor Pain Relief: A Pilot Study},
author = {Vittorio Santoriello and Alfonso Maria Ponsiglione and Carmine Giugliano and Carmen Buonaguro and Luigi Gallo and Giuseppe Caggianese and Marco Cascella and Giuseppe De Pietro and Andrea Chirico and Antonio Giordano},
url = {https://ieeexplore.ieee.org/abstract/document/11340443/},
year = {2025},
date = {2025-01-01},
urldate = {2026-06-22},
booktitle = {2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)},
pages = {565–569},
publisher = {IEEE},
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, 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},
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, vol. 13, no. 5, pp. 389–396, 2024, ISSN: 2161-783X, 2161-7856.
Abstract | Links | BibTeX | Tags:
@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://journals.sagepub.com/doi/10.1089/g4h.2023.0202},
doi = {10.1089/g4h.2023.0202},
issn = {2161-783X, 2161-7856},
year = {2024},
date = {2024-10-01},
urldate = {2026-07-13},
journal = {Games for Health Journal},
volume = {13},
number = {5},
pages = {389–396},
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 = {},
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.
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, pp. g4h.2023.0202, 2024, ISSN: 2161-783X, 2161-7856.
Abstract | Links | BibTeX | Tags: Artificial Intelligence, Labor, 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/10.1089/g4h.2023.0202},
doi = {10.1089/g4h.2023.0202},
issn = {2161-783X, 2161-7856},
year = {2024},
date = {2024-06-01},
urldate = {2024-07-21},
journal = {Games for Health Journal},
pages = {g4h.2023.0202},
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 = {Artificial Intelligence, Labor, 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.
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.
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{augelloSeriousGamesEmerging2024,
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.
Costagliola, Concetta; Buonaguro, Carmen; Rachedi, Sarah; Gambardella, Ilenia; Mancusi, Luca; Sorrentino, Emanuele; Mallardo, Giuliana; Turco, Maddalena; Marino, Simona; Chirico, Andrea; Caggianese, Giuseppe; Gallo, Luigi; Pietro, Giuseppe De; Giordano, Antonio; Guida, Maurizio
Applicazione della realtà virtuale in corso di travaglio di parto Miscellaneous
2024.
Links | BibTeX | Tags: Healthcare, Human Computer Interaction, Virtual Reality
@misc{costagliola_applicazione_2024,
title = {Applicazione della realtà virtuale in corso di travaglio di parto},
author = {Concetta Costagliola and Carmen Buonaguro and Sarah Rachedi and Ilenia Gambardella and Luca Mancusi and Emanuele Sorrentino and Giuliana Mallardo and Maddalena Turco and Simona Marino and Andrea Chirico and Giuseppe Caggianese and Luigi Gallo and Giuseppe De Pietro and Antonio Giordano and Maurizio Guida},
url = {https://www.sigo.it/wp-content/uploads/2024/04/SIGO2024_finale_Firenze.pdf},
year = {2024},
date = {2024-01-01},
address = {Firenze, Italy},
keywords = {Healthcare, Human Computer Interaction, Virtual Reality},
pubstate = {published},
tppubtype = {misc}
}
Buonaguro, Carmen; Gambardella, Ilenia; Rachedi, Sarah; Costagliola, Concetta; Muoio, Giuseppina; Forno, Sabatino Del; Paino, Jessica Anna Cinzia; Chirico, Andrea; Caggianese, Giuseppe; Gallo, Luigi; Pietro, Giuseppe De; Giordano, Antonio; Guida, Maurizio
Correlazione tra uso della realtà virtuale in corso di travaglio di parto e fear of childbirth Miscellaneous
2024.
Links | BibTeX | Tags: Healthcare, Human Computer Interaction, Virtual Reality
@misc{buonaguro_correlazione_2024,
title = {Correlazione tra uso della realtà virtuale in corso di travaglio di parto e fear of childbirth},
author = {Carmen Buonaguro and Ilenia Gambardella and Sarah Rachedi and Concetta Costagliola and Giuseppina Muoio and Sabatino Del Forno and Jessica Anna Cinzia Paino and Andrea Chirico and Giuseppe Caggianese and Luigi Gallo and Giuseppe De Pietro and Antonio Giordano and Maurizio Guida},
url = {https://www.sigo.it/wp-content/uploads/2024/04/SIGO2024_finale_Firenze.pdf},
year = {2024},
date = {2024-01-01},
address = {Firenze, Italy},
keywords = {Healthcare, Human Computer Interaction, Virtual Reality},
pubstate = {published},
tppubtype = {misc}
}
Gambardella, Ilenia; Buonaguro, Carmen; Rachedi, Sarah; Mancusi, Luca; Costagliola, Concetta; Castellano, Francesca; Zapparella, Rosanna; Esposito, Gennaro; Chirico, Andrea; Caggianese, Giuseppe; Gallo, Luigi; Pietro, Giuseppe De; Giordano, Antonio; Guida, Maurizio
Depressione post partum e uso della realtà virtuale in corso di travaglio di parto: correlazioni e implicazioni Miscellaneous
2024.
Links | BibTeX | Tags: Healthcare, Human Computer Interaction, Virtual Reality
@misc{gambardella_depressione_2024,
title = {Depressione post partum e uso della realtà virtuale in corso di travaglio di parto: correlazioni e implicazioni},
author = {Ilenia Gambardella and Carmen Buonaguro and Sarah Rachedi and Luca Mancusi and Concetta Costagliola and Francesca Castellano and Rosanna Zapparella and Gennaro Esposito and Andrea Chirico and Giuseppe Caggianese and Luigi Gallo and Giuseppe De Pietro and Antonio Giordano and Maurizio Guida},
url = {https://www.sigo.it/wp-content/uploads/2024/04/SIGO2024_finale_Firenze.pdf},
year = {2024},
date = {2024-01-01},
address = {Firenze, Italy},
keywords = {Healthcare, Human Computer Interaction, Virtual Reality},
pubstate = {published},
tppubtype = {misc}
}
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.
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).
Abstract | Links | BibTeX | Tags: Digital Practices, Digital Twins, Human Computer Interaction, Metaverse, Social Practices, Virtual Reality
@article{sabatucciEnvisioningDigitalPractices2023,
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},
publisher = {Multidisciplinary Digital Publishing Institute},
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},
keywords = {Digital Practices, Digital Twins, Human Computer Interaction, Metaverse, Social Practices, Virtual Reality},
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.
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).
Abstract | Links | BibTeX | Tags: Digital Practices, Digital Twins, Human Computer Interaction, Metaverse, Social Practices, Virtual Reality
@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},
publisher = {Multidisciplinary Digital Publishing Institute},
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},
keywords = {Digital Practices, Digital Twins, Human Computer Interaction, Metaverse, Social Practices, Virtual Reality},
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) Book
IEEE Computer Society, 2023, ISBN: 979-8-3503-7091-1, (tex.referencetype: proceedings).
Abstract | Links | BibTeX | Tags: Computer Vision and Pattern Recognition, Image Processing
@book{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},
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 Vision and Pattern Recognition, 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 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{gaglioMoralMediatorsMetaverse2023,
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},
issn = {1613-0073},
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.},
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.
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, (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},
issn = {1613-0073},
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 Vision and Pattern Recognition, 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 Vision and Pattern Recognition, 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.
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: 979-8-3503-0080-2.
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 = {979-8-3503-0080-2},
year = {2023},
date = {2023-10-01},
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.