Dissertações em Computação Aplicada (Mestrado) - PPCA/NDAE/Tucuruí

URI Permanente para esta coleçãohttps://repositorio.ufpa.br/handle/2011/9399

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Aplicação de estratégias de gamificação personalizadas no ensino de algoritmos e programação em curso introdutório de computação
(Universidade Federal do Pará, 2025-04-16) DINIZ, Patrícia Pinto; PORTELA, Carlos dos Santos; http://lattes.cnpq.br/7707594869367480; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; https://orcid.org/0000-0001-7327-9960
This dissertation, structured as a collection of academic articles, investigates the use of personalized gamification strategies in programming education, focusing on pedagogical alignment with students’ motivational profiles and learning styles. The work comprises three interdependent articles that complement each other in addressing how to personalize the teaching of algorithms and programming to foster greater engagement, motivation, and academic performance The first article, titled “Personalized Gamification Strategies in Programming Education: A Systematic Literature Review”, published in the proceedings of SBIE 2024, presents a systematic review of 45 studies published between 2019 and 2023. Its aim was to identify the effects of competitive, cooperative, and hybrid gamification elements in programming education. The results revealed important patterns regarding the impact of these strategies on student engagement and highlighted gaps related to personalization and the use of adaptive feedback, providing a theoretical foundation for the subsequent applied studies. The second article, “Personalized Gamification in Programming Education: An Experience Report with Adaptive Feedback”, awarded at EDUCOMP 2025, reports on the application of a pedagogical methodology based on the HEXAD model (motivational profiles) and the GRSLSS model (learning styles). The approach was implemented in a technical computing class, where students were categorized into specific profiles and received gamified activities tailored to their characteristics. The experience revealed increased engagement, greater autonomy, and more active participation in the proposed tasks. The third article, “Applying Personalized Gamification Strategies in Teaching Algorithms and Programming in an Introductory Computing Course”, represents the final stage of the project and was presented to the dissertation committee. It describes the application of two main activities: the first focused on programming logic (Animal Duel), and the second on Object-Oriented Programming (OOP), developed based on the adaptive feedback collected in the previous phase. The personalization of tasks and the use of individualized feedback led to significant improvements in academic performance, content comprehension, and student motivation Overall, the three articles demonstrate that personalized gamification, combined with adaptive feedback, is an effective and replicable strategy to make programming education more inclusive and student-centered. This dissertation contributes to the field of Computer Science Education by providing empirical evidence and pedagogical practices that can be applied in diverse educational contexts.
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Melhoria contínua do processo de engenharia de requisitos em um projeto de pesquisa e desenvolvimento (P&D)
(Universidade Federal do Pará, 2024-09-24) SILVA, Luã Barros da; PEREIRA, Rodrigo Lisbôa; http://lattes.cnpq.br/0961152700140103; HTTPS://ORCID.ORG/0000-0001-5217-908X; PORTELA, Carlos dos Santos; http://lattes.cnpq.br/7707594869367480
This study reports on the experience of improving Requirements Engineering (RE) of a Research and Development (R&D) project aimed at developing a platform for text analysis using Artificial Intelligence (AI). Initially, some issues were identified, including unclear requirements, ineffective communication among stakeholders, and inadequate documentation. To address these challenges, we implemented the expected results of the Reference Model for Software Process Improvement (MR-MPS-SW) to guarantee quality in the RE practices followed. The results indicate a significant reduction in requirement changes, increased stakeholder satisfaction, and improved clarity of documentation. Finally, it is concluded that the implemented improvements contributed decisively to the project’s success, providing valuable insights for future R&D projects.
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IZAP: redesign do aplicativo WhatsApp para o público idoso
(Universidade Federal do Pará, 2025-04-17) MIRANDA, Samara da Rocha; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; https://orcid.org/0000-0001-7327-9960
With the increase in life expectancy and the advancement of technology, the elderly public's access to the internet grows together as a means of entering the digital world, a movement accelerated by the COVID-19 pandemic. On the other hand, the conditions inherent to age, such as memory loss, low vision and reduced motor capacity that interfere with learning to use technologies, causing the need to adapt existing technologies in the market. Based on previous studies that analyzed the communicability of WhatsApp from the perspective of the elderly public, this work proposes a medium fidelity prototype of WhatsApp without the need for a final application built by the Figma tool to have the functionalities that allow simulate the necessary elements to evaluate the communicability between the user and the designee based on the Communicability Assessment Method - MAC of Semiotic Engineering to compare the results of the previous work done with the native application and the prototype.
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Logificação: ambiente gamificado para auxiliar no ensino de lógica de programação em cursos de computação
(Universidade Federal do Pará, 2025-02-06) CASTRO, Maria Beatriz de Oliveira; SANTOS, Viviane Almeida dos; http://lattes.cnpq.br/1489376127395764
The discipline of Programming Logic requires innovative pedagogical approaches. This study presents LOGIFICATION, an environment gamified by adapting Moodle, which combines game elements with Piaget's theory of cognitive development to facilitate the assimilation and accommodation of knowledge. Using resources such as avatars, points and rankings, the system aims to motivate and engage students in learning. The research demonstrated good results, with greater motivation, engagement and performance in the experimental group, highlighting gamification integrated with a learning theory as a promising pedagogical strategy for the teaching of Programming Logic.
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PC_Edu: proposta de recurso educacional digital para formação continuada de professores em pensamento computacional
(Universidade Federal do Pará, 2025-04-15) ARAÚJO, Katia Regina Pimentel; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; https://orcid.org/0000-0001-7327-9960
This research developed and validated a digital educational resource (RED) aimed at the continuing education of basic education teachers in computational thinking (CT), with the main objective of improving pedagogical practices on this topic and contributing to the systematization of its paradigms, as established by the guidelines of the National Common Curricular Base (BNCC). The literature review included relevant productions on teacher training in CT, with emphasis on works found in the Mendeley, CAPES and Google Scholar databases, in addition to publications presented at the CBIE, SBIE and WIE events. These studies highlighted the need for training actions and accessible resources that help teachers understand and apply CT. The methodology adopted was descriptive and qualitative-quantitative in nature, anchored in the Design Thinking strategy, applied in five stages: empathy, definition, ideation, prototyping and testing. Data collection and analysis were carried out through three questionnaires distributed at different stages of the research, using the Google Forms platform. The first questionnaire assessed teachers’ prior knowledge of PC, revealing conceptual and practical gaps. The second questionnaire was applied during a face-to-face workshop and showed the demand for a digital resource on the subject, resulting in the design of the RED prototype called PC_Edu. The third questionnaire aimed to validate the design of the resource, allowing the assessment of its applicability and acceptance in the educational context. The usability analysis of PC_Edu was performed based on the System Usability Scale (SUS) method, recognized for its effectiveness in measuring user experience. The results demonstrated good acceptance by teachers, confirming the relevance of the resource for training and pedagogical purposes. It is concluded that PC_Edu has significant potential to contribute to the continuing education of teachers and to the qualified insertion of Computational Thinking in pedagogical practices in basic education. The research also highlights the importance of developing educational resources aligned with curricular guidelines and the real demands of educators, promoting more contextualized, accessible and innovative training.
Acesso aberto (Open Access)
PredictmodelGUI: ferramenta para classificação de genes essenciais através de técnicas de aprendizado de máquina
(Universidade Federal do Pará, 2025-06-06) MOIA, Gislenne da Silva; SILVA, Cleison Daniel; http://lattes.cnpq.br/1445401605385329; HTTPS://ORCID.ORG/0000-0001-8280-2928; VERAS, Adonney Allan de Oliveira; http://lattes.cnpq.br/2201652617167877; https://orcid.org/0000-0002-7227-0590
DNA sequencing technologies have provided significant advances in the understanding of the genetic content of numerous organisms, ranging from microorganisms to humans. Among the analyses performed in the Omics Sciences, Annotation stands out as one of the most important. Conceptually, this process consists of inferring biological information from genomic sequences, which allows researchers to understand the function of genetic products, such as Genes — the Basic Units of Heredity responsible for the physical and hereditary characteristics of an organism. Some Genes perform vital functions by encoding Proteins or RNAs essential for processes such as Cellular Metabolism, which participate in crucial pathways like Glycolysis and the Tricarboxylic Acid Cycle. Sequencing Platforms have started to generate large volumes of data, which has driven advances in the Omics fields and fostered the development of computational methods aimed at diverse analyses. More recently, Machine Learning and Artificial Intelligence techniques have been applied to these data, with studies demonstrating the effectiveness of biology-inspired approaches. These models do not require rule-based programming, although their creation still demands advanced skills in Programming and Computing. To contribute toward solving this challenge, this study presents PredictModelGUI, a graphical interface developed in Python that implements nine models to classify Essential Genes. The interface allows importing datasets, re-training models, and adjusting parameters. The information is stored in the software database, which ensures traceability and provides a simple and intuitive tool to test different configurations. Available
Acesso aberto (Open Access)
Aplicação e avaliação de um jogo sério como alternativa metodológica para ensino de frações para alunos com TDAH
(Universidade Federal do Pará, 2025-04-30) ALVES JÚNIOR, Fernando Cesar Chaves; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; HTTPS://ORCID.ORG/0000-0001-7327-9960; FÜLBER, Heleno; http://lattes.cnpq.br/5018616409948511
Introduction: This article describes the results obtained in an action research on the applicability of a serious game with virtual reality in the teaching and learning process of fractions content for students with ADHD. The development strategies and their practical implications observed in the use of the software are described. Objective: Apply and evaluate the contribution of the game in the learning process of fraction content for students with ADHD in the 6th and 7th grades of elementary school. Methodology or Steps: Presentation of the game to guidance counselors, teachers and parents of students; assessment of learning of fractions content; use of the game by students; reassessment of learning of the content. Results: The possibility of using the game as a didactic alternative for teachers to teach fractions stands out, improving students learning of the content.
Acesso aberto (Open Access)
Trabalho remoto no pós-pandemia: benefícios e desafios no setor de TI do estado do Pará
(Universidade Federal do Pará, 2025-04-11) COELHO, Eliezer Miranda; PEREIRA, Rodrigo Lisbôa; http://lattes.cnpq.br/0961152700140103; https://orcid.org/0000-0001-5217-908X; PORTELA, Carlos dos Santos; http://lattes.cnpq.br/7707594869367480
The adoption of remote work has enabled companies and employees to adapt to the demands of social distancing, while also bringing benefits such as saving time, reducing commuting costs and improving quality of life. However, this transition has also posed significant challenges, such as difficulties in communication, collaboration between teams and maintaining employee well-being. This master’s thesis investigates the benefits and challenges in the post-pandemic period of Covid-19 through a Systematic Literature Review (SLR) and an empirical study in the Information Technology (IT) sector in the state of Pará. The SLR analyzed 13 studies from four databases, indicating increased productivity and challenges such as balancing professional and personal life. The empirical study, conducted with managers and employees, revealed that flexibility and time savings were the main benefits, while social isolation and adaptation to new management approaches were the most cited challenges. The findings provide insights for future research on hybrid work models and organizational policies in the IT sector.
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Um guia de requisitos de softwares educativos para mulheres
(Universidade Federal do Pará, 2025-06-25) DIOGO, Carla Braga; SANTOS, Viviane Almeida dos; http://lattes.cnpq.br/1489376127395764
Information and communication technologies (ICTs) have demonstrated a crucial role in enabling gender equality, and are also one of the goals of the United Nations (UN). This paper presents a guide of recommendations to guide developers in the process of specifying educational software for women, thus facilitating the gathering of requirements for this audience. The guide was created based on the Design Thinking approach and, through Empathy, used a technique based on Personas through a case study of self-employed women from the Tucuruí Lake Region. It is estimated that through the adoption of this guide there will be greater ease in defining requirements and incentive in the creation of educational applications for women.
Acesso aberto (Open Access)
Implementação de modelos computacionais na predição temporal e espaço-temporal de parâmetros de qualidade de água
(Universidade Federal do Pará, 2021-12-14) ALMEIDA, Anderson Francisco de Sousa; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; HTTPS://ORCID.ORG/0000-0001-7327-9960; GONZÁLEZ, Marcos Tulio Amaris; http://lattes.cnpq.br/9970287865377659
The quality of water is directy related to is level of pollution caused by anthropic and industrial actions, with a consequent reduction in the availability of quality water. Therefore, limological monitorig of the basic parameters os water quality is carried out, as away of obtaining data that guide the decision-making of water resouces management bodies. In this context, the present study has the implementation of machine learning algorithms to predict temporal and spatiotemporal water quality parameter data. The ML techniques used were linear regression, ramdom forest, MLP and LSTM neural networks. Two collection points from a Water Resources Management Unit in São Paulo, Brazil were used. Models are evaluated using MAPE( mean absolute percentage eror) and RMSE( root mean squared erro) metrics. Therefore, in temporal prediction, the LSTM technique presented the best performace in relation to the other techniques and the data used, as it has the lowest average RMSE result, with 2.47. However, in spatiotemporal prediction, MLP has the best performace both in relation to the other techniques and the data used , as it has the lowest averagee results of MAPE and RMSE, respectively, 5.94% and 1.34. Thus, these performaces of neural networks can be justified by the non-linearity of the parameter data. Other than that, the results of the experiments aim to contribute to the water quality monitorng process and assist in the planning of water management, so that it meets current legislation and enales the indication of public policies, through machine learning models in prediction of water quality parametes.
Acesso aberto (Open Access)
Aprendizado em conjunto aplicado à classificação da imagética motora
(Universidade Federal do Pará, 2025-01-20) JORGE, Vitor da Silva; SILVA, Cleison Daniel; http://lattes.cnpq.br/1445401605385329; https://orcid.org/0000-0001-8280-2928
Acesso aberto (Open Access)
Aplicação e comparação de técnicas de classificação automática de documentos: um estudo de caso com o dataset do domínio jurídico “Victor”
(Universidade Federal do Pará, 2024-02-01) MARTINS, Victor Simões; SILVA, Cleison Daniel; http://lattes.cnpq.br/1445401605385329; https://orcid.org/0000-0001-8280-2928
The application of Natural Language Processing (NLP) and Artificial Intelligence (AI) in the Brazilian legal context is a rapidly growing area that can alter the way legal professionals work, given the volume of generated text. Among the possible applications of NLP and AI is the automatic classification of documents, which, among other things, can be employed in the automation of the digitization process of Judicial Proceedings that are still in physical form. Therefore, this work applies and compares AI algorithms for the classification of legal documents. The algorithms are divided into two different approaches. The first approach (I) separates the computational representation process of the text from the classifier training itself and applies SVM and Logistic Regression in conjunction with computational representations based on TF-IDF, Word2Vec, FastText, and BERT. The second approach (II) simultaneously performs the computational representation of documents and the training of the classifier, applying Deep Learning algorithms based on recurrent neural networks, specifically ULMFiT (Universal Language Model Fine-tuning), and HAN (Hierarchical Attention Networks). The studied dataset is named VICTOR, composed of documents from the Supreme Federal Court (STF) of Brazil. The research concludes that both approaches can be applied to the classification of legal documents from the employed dataset. Additionally, despite being less computationally expensive, the classification pipelines of Approach I, which use the computational representation of the document with TF-IDF, yield results equivalent to pipelines employing Deep Learning. Furthermore, embedding documents specialization with data from the dataset under study, improves the performance of pipelines that employ Word2Vec, FastText and ULMFiT, compared to pipelines that apply the generic representations of these, i.e., models pre-trained with data from the general context.
Acesso aberto (Open Access)
Clusterização de padrões espaço-temporais de precipitação na Amazônia via deep convolutional autoencoder
(Universidade Federal do Pará, 2023-07-07) SILVA, Vander Augusto Oliveira da; TEIXEIRA, Raphael Barros; http://lattes.cnpq.br/4902824086591521; https://orcid.org/0000-0003-2993-802X
Studies using different machine learning methods for knowledge discovery and pattern recognition in precipitation time series are increasingly frequent in the literature. Identify and analyze patterns in precipitation time series in a particular region is fundamental for its socioeconomic development. Therefore, it can be stated that knowledge and understanding of the rainfall characteristics of the regions are important to enable the planning of the use, management and conservation of water resources. The natural phenomenon of precipitation is a fundamental process with a direct impact on watersheds and on human and environmental development. The variability of this phenomenon has important implications for the navigability of rivers, individual abundance and species richness. In recent years, many studies with this approach have been carried out in Brazil, mainly in the Amazon region. This research aimed to develop a computational method for analyzing time series of precipitation using machine learning techniques with unsupervised learning, in order to propose an method capable of extracting complex features from the data, obtaining a map of attributes at low dimensionality for pattern recognition, discovery of homogeneous regions with respect to precipitation and approximate reconstruction of precipitation time series in the Legal Amazon. The proposed deep learning neural network model is trained to learn the main and most complex features of the original data and present them in low dimensionality in latent space. After the training, the results are promising, the observations of the reconstructed data showed a good performance as evaluated by the RMSE and NRMSE metric with resulting values equal to 0.06610 and 0.3355 respectively. The analysis of the representation of the data in low dimension was applied and analyzed by a clustering structure using hierarchical agglomerative with Ward’s method. This methodology also showed good results, as it carried out consistent groupings characterizing ho- mogeneous regions in relation to precipitation data. Thus, demonstrating that the representation in low dimensionality carried the main characteristics of the time series of the analyzed data. It is noteworthy that the method developed in this study can be applied not only in the Amazon region, but also in other areas with similar challenges related to time series analysis.
Acesso aberto (Open Access)
Definição e instanciação de um processo híbrido Scrum e RUP aderente ao ciclo PDCA
(Universidade Federal do Pará, 2022-12-21) SILVA, Sabrina da; PEREIRA, Rodrigo Lisbôa; http://lattes.cnpq.br/0961152700140103; HTTPS://ORCID.ORG/0000-0001-5217-908X; PORTELA, Carlos dos Santos; http://lattes.cnpq.br/7707594869367480
One of the main ways to deal with recurring problems in software projects is the adoption of process management frameworks. However, there are projects better suited to traditional methodologies and others to agile methodologies. Some companies have combined traditional and agile practices in hybrid project management models. In this context, this article presents an action research that resulted in the definition and instantiation of a hybrid process consisting of practices from the SCRUM and RUP frameworks in a real software development project. This process was evaluated through the peer review, proving to be satisfactory in following the premises of both frameworks, in project management and in meeting the Plan, Do, Check and Act (PDCA) cycle. Finally, the SWOT analysis of the process was carried out by the team that followed its activities in the target project of this research.
Acesso aberto (Open Access)
A comunicabilidade da interação do usuário idoso com o aplicativo WhatsApp
(Universidade Federal do Pará, 2021-10-25) OLIVEIRA, Regina Mares de Souza; FÜLBER, Heleno; http://lattes.cnpq.br/5018616409948511; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; https://orcid.org/0000-0001-7327-9960
The advances in digital technologies and the widespread use of smartphones have greatly changed the way people communicate, mainly through social platforms. At the same time, the sharp growth of the elderly population raises the question of the relationship of the elderly and the new digital media, especially with the Covid-19 pandemic that has conditioned social isolation. This research aims to investigate the communicability of the interaction of elderly users with the WhatsApp application. Methodologically, it began with a systematic review of the literature, later, a case study was conducted with a group of 10 elderly, applied the Communicability Evaluation Method of Semiotic Engineering with the objective of knowing and explaining the communicative problems of use and relating them to the characteristics of the elderly. The results indicated interaction problems related to the attribution of meaning, perception, recognition of icons; indicated the most frequent communicability ruptures; indicated low vision as the most common change of aging; presented reports of the experiences of use of the elderly and also regarding the satisfaction and classification of the service.
Acesso aberto (Open Access)
Proposição de um software para monitoramento do desempenho da sustentabilidade em municípios paraenses
(Universidade Federal do Pará, 2023-12-06) CAMACHO, Marcelo Santana; SOUZA, Marcela Alves de; http://lattes.cnpq.br/5948064802257396; HTTPS://ORCID.ORG/0000-0003-0241-1076; FARIAS, Fabricio de Souza; http://lattes.cnpq.br/1521079293982268; https://orcid.org/0000-0003-4344-6953
Brazil is being demanded and challenged to improve its control and efficiency over environmental and social projects. In 2023, the UN confirmed that COP-30, scheduled for 2025, will be hosted in Belém-PA, attracting the attention of several heads of state to the Amazon, a region entangled in geopolitical and ideological discourses. To meet global expectations, local authorities will need to show that biodiversity is a wealth of life and ways of life. To achieve this, it will be necessary to identify and mitigate the challenges highlighted in the goals of the 2030 Agenda, above all, harmonizing the interests present in meeting the goals with local reality and expectations, as currently even Public Policies (PP) implemented at national level still cannot have the effective adhesion of local agents, thus hindering its effectiveness. In this sense, we understand that indicators are important instruments for planning and evaluating PP, in the context of Sustainable Development, these indicators are more complex because they deal with issues that go beyond the notion of locality and temporality, as social and environmental events cannot be measured. and treated as economic or organizational metrics. Therefore, a good sustainability indicator needs to be easy to implement, understand and incorporate into PP projects. In this context, the Sustainability Barometer (BS) is a very useful and versatile holistic indicator of sustainability, also being an indicator already applied in several studies conducted in the State of Pará and predominating in studies applied to settlements, companies, municipalities, etc. Furthermore, the BS has a pedagogical advantage, as it easily communicates the situation, being easy to interpret and analyze. For these reasons, the BS was implemented in software to serve as a tool in the process of generating sustainability levels by municipality and region. Finally, in this work an investigation was conducted that allowed the BS method to be applied in an automated way to the 144 municipalities in Pará. In the application, several variables from the environmental, economic and social dimensions were used, allowing us to determine that the State and its regions present an Intermediate level of sustainability, with the economic dimension being the most vulnerable. We also identified that the municipalities of Belém and Parauapebas presented the best performances, while Viseu and Cachoeira do Piriá presented the worst. The panorama demonstrates that the State needs to invest in PP instruments to improve urban planning, as population growth and the emergence of new unplanned housing areas lead to various human and environmental losses. On the other hand, urban growth ordered and guided by public authorities minimizes the number of sub-housings and eradicates social problems by improving access for the most vulnerable populations to goods and services, guaranteeing human and ecosystem well-being.
Acesso aberto (Open Access)
Sistematização de um mecanismo de busca especializado em conteúdos das séries iniciais do ensino fundamental: uma abordagem baseada em mineração de texto
(Universidade Federal do Pará, 2021-11-08) PONTIN JUNIOR, Laercio; VERAS, Adonney Allan de Oliveira; http://lattes.cnpq.br/2201652617167877; HTTPS://ORCID.ORG/0000-0002-7227-0590; FÜLBER, Heleno; http://lattes.cnpq.br/5018616409948511
The technology is inserted in the most diverse environments of society, however, at times its use can be improved, as in the case of web search engines. Search tools on the web, when used by elementary school children, can lead to a complex environment that hinders learning. Such an occurrence is due to the little familiarity of children in formulating questions related to what they need to learn and the difficulty in interpreting the results. Due to this difficulty, this work proposes a search engine that improves the search string considering what governs the Base Nacional Comum Curricular. To implement this mechanism, text mining is used, to improve the environment for children's learning. As a form of evaluation, elementary school students were used together with the collaboration of teachers with the same profile. Thus, it is possible to evaluate the use of the tool and conclude the occurrence of improvement in educational search results when using a tool that applies text mining techniques in a search engine.
Acesso aberto (Open Access)
Kirn: proposta de abordagem de evolução tecnológica de sistemas legados
(Universidade Federal do Pará, 2020-12-16) LISBOA JUNIOR, Luiz Antonio Leao; REIS, Rodrigo Quites; http://lattes.cnpq.br/9839778710074372; https://orcid.org/0000-0002-3657-4175
In order to keep the institutions' information systems in functional compliance with their organizational processes, there is a need to modernize them frequently. However, difficulties such as the lack of diverse resources (technical, financial, human and others), make this task difficult to perform. In view of the adversities that institutions find in modernizing their legacy systems, this work proposes an approach, defined as Kirn, for the technological evolution of these systems, which has as premise the reengineering of software in an agile way, with efficient use of the available resources aiming the optimization of this practice. To assist in this activity, a tool called Kirn Framework was developed, which helps in mapping the requirements of legacy systems and in creating a base application, which will be the starting point of technological evolution. As a proposal for the evaluation of this approach, an experiment was developed at the Superintendência do Desenvolvimento da Amazônia (SUDAM), using experimental software engineering concepts, in which the prototypes developed with the institutional approach and the Kirn approach were compared through the use of pre-established indicators in the experiment’s planning.
Acesso aberto (Open Access)
Realidade aumentada no auxílio da terapia de exposição: uma visão clínica
(Universidade Federal do Pará, 2024-03-08) RODRIGUES, Jocenildo Abreu; FÜLBER, Heleno; http://lattes.cnpq.br/5018616409948511; MERLIN, Bruno; http://lattes.cnpq.br/7336467549495208; https://orcid.org/0000-0001-7327-9960
Fear of animals and insects is a widespread condition that affects thousands of people around the world. The disease can be so severe that it interferes considerably with a person's daily life. This study aimed to examine the limitations and perspectives of clinical experts on the application of augmented reality (AR) in the treatment of phobias. The methodology used was action research, involving cooperation and participation between researchers and participants, enabling the analysis and resolution of problems in the clinical context. Information was collected through semi-structured interviews with therapists focused on specific phobias. Thematic analysis of the data revealed main and secondary themes, addressing clinical needs, software requirements, and feasibility of implementing AR in the treatment of phobias. Based on the identified requirements, augmented reality scenarios were created and the FobiAR mobile application was developed. The findings demonstrated that AR may be a promising alternative to conventional exposure therapy, offering a more immersive and controlled environment to patients. The FobiAR application received validation from the interviewed professionals, indicating potential for clinical application.
Acesso aberto (Open Access)
Uso de redes de sensores sem fio no monitoramento do comportamento nictemeral do caranguejo-uçá (Ucides cordatus Linnaeus, 1763)
(Universidade Federal do Pará, 2020-12-18) CARDOSO, Gracielly Costa Fontes; LEMOS, Marcus Vinicius de Sousa; http://lattes.cnpq.br/3407671588647224; FÜLBER, Heleno; http://lattes.cnpq.br/5018616409948511
Wireless Sensor Networks (RSSF) have been applied in environments with dif erent contexts. One of the advantages of its use is low intrusion, made possible by remote monitoring that allows the observation of data without the need for invasion of the habitat of some species. In this article, we present the design and implementation of an RSSF that monitors environmental variables and the behavior of the uçá crab (Ucides cordatus). According to the results obtained in the study, it was identified that the WSN are suitable for collecting data in the mangrove ecosystem ef iciently. Such information can be used in decision-making by regulatory agencies that manage the management of this resource.