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Examinando por Autor "Navarro, Joan"

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    EngageMate advancing classroom interaction with an intelligent IoT assistant driven by the digital twin concept
    (Universidad de Deusto = Deustuko Unibertsitatea, Servicio de Publicaciones = Argitalpen Zerbitzua, 2024) Casado Mansilla, Diego; Solé Palacín, Francesc Xavier; Gómez Carmona, Oihane; Navarro, Joan; López de Ipiña González de Artaza, Diego
    The rapid evolution of educational technologies brings the Internet of Things (IoT) to theforefront as a transformative force, poised to reshape conventional teaching and learningmethods through its network of interconnected devices and systems. This paper introducesan innovative IoT device enhanced by digital twin technology, aimed at improving teachingefficacy by enabling interactions with virtual replicas of physical objects for immersive, real-timelearning simulations. The device goes beyond typical educational tools by monitoring classroomenvironmental conditions and assessing student engagement, supported by a web platform foreducators to evaluate their teaching performances. A practical application involving two uni-versity teachers demonstrated the device’s potential to significantly improve teaching strategiesand student engagement, though it also revealed challenges in integrating such technologiesinto educational settings. These findings emphasize the need for ongoing research and devel-opment to overcome barriers and fully exploit IoT and digital twin technologies in education,thus facilitating a more interactive, effective, and personalized learning environment.
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    PyFF: a fog-based flexible architecture for enabling privacy-by-esign IoT-based communal smart environments
    (NLM (Medline), 2021-06) Benhamida, Fatima Zohra; Navarro, Joan; Gómez Carmona, Oihane; Casado Mansilla, Diego; López de Ipiña González de Artaza, Diego; Zaballos, Agustín
    The advent of the Internet of Things (IoT) and the massive growth of devices connected to the Internet are reshaping modern societies. However, human lifestyles are not evolving at the same pace as technology, which often derives into users' reluctance and aversion. Although it is essential to consider user involvement/privacy while deploying IoT devices in a human-centric environment, current IoT architecture standards tend to neglect the degree of trust that humans require to adopt these technologies on a daily basis. In this regard, this paper proposes an architecture to enable privacy-by-design with human-in-the-loop IoT environments. In this regard, it first distills two IoT use-cases with high human interaction to analyze the interactions between human beings and IoT devices in an environment which had not previously been subject to the Internet of People principles.. Leveraging the lessons learned in these use-cases, the Privacy-enabling Fog-based and Flexible (PyFF) human-centric and human-aware architecture is proposed which brings together distributed and intelligent systems are brought together. PyFF aims to maintain end-users' privacy by involving them in the whole data lifecycle, allowing them to decide which information can be monitored, where it can be computed and the appropriate feedback channels in accordance with human-in-the-loop principles.
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