ESTiG - Artigos em Proceedings Não Indexados à WoS/Scopus
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Browsing ESTiG - Artigos em Proceedings Não Indexados à WoS/Scopus by Field of Science and Technology (FOS) "Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática"
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- Evolução da institucionalização de políticas de segurança de sistemas de informação na administração pública portuguesaPublication . Lopes, Isabel Maria; Oliveira, PedroAs administrações públicas manipulam cada vez mais, grandes quantidades de informação em suportes tecnológicos, por isso são imprescindíveis controlos de segurança cada vez mais rigorosos e abrangentes. De entre as medidas de segurança, as políticas assumem na literatura um papel central. Todavia, um estudo de 2010 aponta a existência de um reduzido número de Câmaras Municipais que têm implementadas políticas de segurança de sistemas de informação [1]. Este artigo contribui para comparar os dados desse estudo com dados de 2016 através da apresentação dos resultados de um inquérito feito à Administração Pública Local em Portugal. Os resultados são discutidos à luz da literatura e identificam-se trabalhos futuros com vista a potenciar a adoção de políticas de segurança na Administração Pública.
- Impact of different UI on foreign language learning using iVRPublication . Peixoto, Bruno; Gonçalves, Guilherme; Bessa, Maximino; Bessa, Luciana C. Pereira; Melo, MiguelThis paper presents a study comparing different user interface modes (Controller-Based Selection, Object Interaction, and Voice Recognition) within immersive Virtual Reality (iVR) environments for foreign language learning. Given the rapid advancements and potential of iVR in education, there is a need for focused research on optimising user interfaces for effective learning experiences. This study aimed to identify optimal interfaces for integrating iVR applications as complementary educational tools while gauging student preferences. Participants engaged in interactive learning tasks across the three conditions, with assessments focused on System Usability, Presence, User Satisfaction, Cybersickness, Learning Outcomes, and Task Duration. Findings indicate high usability across all conditions, with a preference observed for Controller-Based Selection and Object Interaction. Object Interaction showed strong motivational appeal but required more time to complete tasks than Controller-Based. Therefore, for time-constrained educational settings, the Controller-Based Selection interface is practical due to its lower physical effort requirement. Despite recent advances, our study found Voice Recognition interaction to be the least preferred interaction method, indicating a need for further technological improvements to boost its acceptance and effectiveness in educational contexts.
- Multi-dimensional layers framework for classifying waste in industrial plantsPublication . Rossi, Arthur; Leitão, Paulo; Pontes, JoseaneThe transition from Industry 4.0 to Industry 5.0 introduces new challenges in waste management, particularly digital, energy and human waste. However its not clear how to classify and categorize without creating new dilemmas in the 8 traditional established wastes from Lean theory. To solve this problem, this paper aims to develop a multi-dimensional layers framework to classify waste by making a interpretation of the traditional lean principles into a digital and sustainable layer perspective. The methodology involves projecting the 8 lean wastes onto physical, digital, and sustainable layers, allowing for a comprehensive waste characterization. With this, its presented a framework that identifies various types of digital waste, such as defective data and excessive non-value-adding data, and high-lights the energy inefficiencies and human factors associated with digital transformation. The results shows the framework’s ability to provide a n organized approach to attempt to classification new wastes typologies without creating new wastes and keeping the Lean theory at its original state. As such, this study contributes to the literature by expanding the concept of digital waste and integrating sustainability into waste typology and providing the implications of the layer expansion for future research.
- Stress inference in a virtual reality game for rehabilitation with body motion and heart ratePublication . Lopes, Júlio Castro; Van-Deste, Isaac; Vieira, João; Lopes, Rui PedroThis paper proposes an architecture for detecting stress in a player, while playing a Virtual Reality (VR) game, by analyzing the player’s movements as well as the player’s Heart Rate (HR). For this effect, only a camera to analyze players’ Body Motion Rate (BMR) and a smartwatch to capture the HR, were used. As part of the computation of the BMR, computer vision techniques were used to detect the player’s skeleton, computing the difference between frames. A dataset was captured in this paper, while the players tested 5 different scenarios to induce different stress situations. The proposed dataset serves as a proof of concept to validate the relation between HR and BMR. Future work should investigate synthetic data generation techniques to improve dataset diversity and adaptability for Dynamic Difficulty Adjustment (DDA) systems. This research contributes to advancing stress detection in VR, with potential applications in rehabilitation, particularly for conditions such as schizophrenia, promoting improved well-being and stress management in the long run.