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.
2024
Bernetti, I.; Borghini, T.; Capecchi, I.
Integrating Virtual Reality and Artificial Intelligence in Agricultural Planning: Insights from the V.AİḞ.AṘṀ. Application Proceedings Article
In: L.T., De Paolis; P., Arpaia; M., Sacco (Ed.): Lect. Notes Comput. Sci., pp. 342–350, Springer Science and Business Media Deutschland GmbH, 2024, ISBN: 03029743 (ISSN); 978-303171706-2 (ISBN).
Abstract | Links | BibTeX | Tags: Agricultural management, Agricultural planning, Agricultural resources, Artificial intelligence technologies, Collaborative Virtual Reality, Critical thinking, Educational approach, Management applications, Openai, Resource management
@inproceedings{bernetti_integrating_2024,
title = {Integrating Virtual Reality and Artificial Intelligence in Agricultural Planning: Insights from the V.AİḞ.AṘṀ. Application},
author = {I. Bernetti and T. Borghini and I. Capecchi},
editor = {De Paolis L.T. and Arpaia P. and Sacco M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204516778&doi=10.1007%2f978-3-031-71707-9_28&partnerID=40&md5=a887379b08dc925667f255cfcacfb4b9},
doi = {10.1007/978-3-031-71707-9_28},
isbn = {03029743 (ISSN); 978-303171706-2 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15027 LNCS},
pages = {342–350},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {The V.A.I.F.A.R.M. (Virtual and Artificial Intelligence for Farming and Agricultural Resource Management) app explores the integration of collaborative virtual reality (VR) with generative artificial intelligence (AI), specifically utilizing ChatGPT, to enhance educational approaches within agricultural management and planning. This study aims to investigate the educational outcomes associated with the combined use of VR and AI technologies, with a particular focus on their impact on critical thinking, problem-solving abilities, and collaborative learning among university students engaged in agricultural studies. By employing VR, the project creates a simulated agricultural environment where students are tasked with various management and planning activities, offering a practical application of theoretical knowledge. The addition of ChatGPT facilitates interactive, AI-mediated dialogues, challenging students to tackle complex agricultural problems through informed decision-making processes. The research anticipates findings that suggest an improvement in student engagement and a better grasp of complicated agricultural concepts, attributed to the immersive and interactive nature of the learning experience. Furthermore, it examines the role of VR and AI in cultivating essential soft skills critical for the agricultural sector. The study contributes to the understanding of how collaborative VR and generative AI can be effectively combined to advance educational practices in agriculture, aiming for a balanced evaluation of their potential benefits without overstating the outcomes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},
keywords = {Agricultural management, Agricultural planning, Agricultural resources, Artificial intelligence technologies, Collaborative Virtual Reality, Critical thinking, Educational approach, Management applications, Openai, Resource management},
pubstate = {published},
tppubtype = {inproceedings}
}
The V.A.I.F.A.R.M. (Virtual and Artificial Intelligence for Farming and Agricultural Resource Management) app explores the integration of collaborative virtual reality (VR) with generative artificial intelligence (AI), specifically utilizing ChatGPT, to enhance educational approaches within agricultural management and planning. This study aims to investigate the educational outcomes associated with the combined use of VR and AI technologies, with a particular focus on their impact on critical thinking, problem-solving abilities, and collaborative learning among university students engaged in agricultural studies. By employing VR, the project creates a simulated agricultural environment where students are tasked with various management and planning activities, offering a practical application of theoretical knowledge. The addition of ChatGPT facilitates interactive, AI-mediated dialogues, challenging students to tackle complex agricultural problems through informed decision-making processes. The research anticipates findings that suggest an improvement in student engagement and a better grasp of complicated agricultural concepts, attributed to the immersive and interactive nature of the learning experience. Furthermore, it examines the role of VR and AI in cultivating essential soft skills critical for the agricultural sector. The study contributes to the understanding of how collaborative VR and generative AI can be effectively combined to advance educational practices in agriculture, aiming for a balanced evaluation of their potential benefits without overstating the outcomes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Takata, T.; Yamada, R.; Rene, A. Oliveira Nzinga; Xu, K.; Fujimoto, M.
Development of a Virtual Patient Model for Kampo Medical Interview: New Approach for Enhancing Empathy and Understanding of Kampo Medicine Pathological Concepts Proceedings Article
In: Jt. Int. Conf. Soft Comput. Intell. Syst. Int. Symp. Adv. Intell. Syst., SCIS ISIS, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835037333-2 (ISBN).
Abstract | Links | BibTeX | Tags: Artificial intelligence, Clinical practices, Clinical training, Complementary and alternative medicines, Covid-19, Diagnosis, Educational approach, Empathy, Kampo medical interview, Medical education, Medical student, Medical students, New approaches, Virtual environments, Virtual patient, Virtual patient models, Virtual patients, Virtual Reality
@inproceedings{takata_development_2024,
title = {Development of a Virtual Patient Model for Kampo Medical Interview: New Approach for Enhancing Empathy and Understanding of Kampo Medicine Pathological Concepts},
author = {T. Takata and R. Yamada and A. Oliveira Nzinga Rene and K. Xu and M. Fujimoto},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214666311&doi=10.1109%2fSCISISIS61014.2024.10759962&partnerID=40&md5=2e149e0fe211f586049914e571c6e2fa},
doi = {10.1109/SCISISIS61014.2024.10759962},
isbn = {979-835037333-2 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Jt. Int. Conf. Soft Comput. Intell. Syst. Int. Symp. Adv. Intell. Syst., SCIS ISIS},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Global interest in complementary and alternative medicine has increased in recent years, with Kampo medicine in Japan gaining greater trust and use. Detailed patient interviews are essential in Kampo medicine, as the physician's empathy is critical to diagnostic precision. Typically, medical students develop empathy and deepen their understanding of Kampo's pathological concepts through clinical practice. However, the COVID-19 pandemic has imposed significant restrictions on clinical training. To address this challenge, we propose a novel educational approach to enhance empathy and understanding of Kampo medicine by developing a virtual patient application. This application leverages generative artificial intelligence to simulate realistic patient interactions, enabling students to practice Kampo medical interviews in a safe, controlled environment. The AI-generated conversations are designed to reflect the emotional nuances of real-life dialogue, with the virtual patients' facial expressions synchronized to these emotions, thus enhancing the realism of the training. The suggested method allows repeated practice at any time and fosters the development of essential diag-nostic and empathetic skills. While promising challenges remain in improving these simulations' accuracy, further refinements are still under consideration. © 2024 IEEE.},
keywords = {Artificial intelligence, Clinical practices, Clinical training, Complementary and alternative medicines, Covid-19, Diagnosis, Educational approach, Empathy, Kampo medical interview, Medical education, Medical student, Medical students, New approaches, Virtual environments, Virtual patient, Virtual patient models, Virtual patients, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
Global interest in complementary and alternative medicine has increased in recent years, with Kampo medicine in Japan gaining greater trust and use. Detailed patient interviews are essential in Kampo medicine, as the physician's empathy is critical to diagnostic precision. Typically, medical students develop empathy and deepen their understanding of Kampo's pathological concepts through clinical practice. However, the COVID-19 pandemic has imposed significant restrictions on clinical training. To address this challenge, we propose a novel educational approach to enhance empathy and understanding of Kampo medicine by developing a virtual patient application. This application leverages generative artificial intelligence to simulate realistic patient interactions, enabling students to practice Kampo medical interviews in a safe, controlled environment. The AI-generated conversations are designed to reflect the emotional nuances of real-life dialogue, with the virtual patients' facial expressions synchronized to these emotions, thus enhancing the realism of the training. The suggested method allows repeated practice at any time and fosters the development of essential diag-nostic and empathetic skills. While promising challenges remain in improving these simulations' accuracy, further refinements are still under consideration. © 2024 IEEE.