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Dr. Jorge Barbosa
Universidade do Vale do Rio dos Sinos (Unisinos)

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Research Keywords & Expertise

0 Ambient Intelligence
0 Learning Analytics
0 Mobile Computing
0 Smart Cities
0 Ubiquitous Computing

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Ubiquitous Computing
Mobile Computing
Smart Cities
Ambient Intelligence
Learning Analytics
Context aware computing
Data Science and Data Analytics

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Short Biography

Jorge Barbosa received an MSc (1996) and PhD (2001) in computer science from the Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. He conducted post-doctoral studies (2011) at Sungkyunkwan University (SKKU), Suwon, South Korea. He also conducted post-doctoral research (2020) at University of California Irvine (UCI), Irvine, United States. Jorge is a full professor in the Applied Computing Graduate Program (PPGCA) of the University of Vale do Rio dos Sinos (UNISINOS), head of the university’s Mobile Computing Lab (MOBILAB), and a researcher at the Brazilian Council for Scientific and Technological Development (CNPq). His main research interests are mobile and ubiquitous computing, context prediction using context histories, mainly through similarity and pattern analysis, and ubiquitous computing applications, mainly in health (u-health), and accessibility (u-accessibility) and learning (u-learning).

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Journal article
Published: 18 August 2021 in Education Sciences
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The use of information communication technologies (ICT) in education brings up new possibilities of promoting learning and health experiences. In this sense, education contexts of the 21st century must consider these two areas of knowledge, especially their integration. This article presents learning practices developed with mobile devices and games in order to improve learning and well-being in children and adolescents undergoing cancer treatment in a non-formal educational setting. The methodology is based on qualitative case studies with content-based data analyses, involving informal interviews and observation methods. The study considers data from five patients who participated in the research between 2015 and 2019. The results demonstrate a positive influence of the practices with mobile technologies and games in terms of learning and in the well-being experience of patients during the treatment.

ACS Style

Paulo Ricardo dos Santos; Débora N. F. Barbosa; Eduardo G. Azevedo Neto; Jorge L. V. Barbosa; Sérgio D. Correia; Valderi R. Q. Leithardt. Learning and Well-Being in Educational Practices with Children and Adolescents Undergoing Cancer Treatment. Education Sciences 2021, 11, 442 .

AMA Style

Paulo Ricardo dos Santos, Débora N. F. Barbosa, Eduardo G. Azevedo Neto, Jorge L. V. Barbosa, Sérgio D. Correia, Valderi R. Q. Leithardt. Learning and Well-Being in Educational Practices with Children and Adolescents Undergoing Cancer Treatment. Education Sciences. 2021; 11 (8):442.

Chicago/Turabian Style

Paulo Ricardo dos Santos; Débora N. F. Barbosa; Eduardo G. Azevedo Neto; Jorge L. V. Barbosa; Sérgio D. Correia; Valderi R. Q. Leithardt. 2021. "Learning and Well-Being in Educational Practices with Children and Adolescents Undergoing Cancer Treatment." Education Sciences 11, no. 8: 442.

Journal article
Published: 15 July 2021 in Electronics
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Language learners often face communication problems when they need to express themselves and do not have the ability to do so. On the other hand, continuous advances in technology are creating new opportunities to improve second language (L2) acquisition through context-aware ubiquitous learning (CAUL) technology. Since vocabulary is the foundation of all language acquisition, this article presents ULearnEnglish, an open-source system to allow ubiquitous English learning focused on incidental vocabulary acquisition. To evaluate our proposal, 15 learners used the developed system, and 10 answered a survey based on the Technology Acceptance Model (TAM). Results indicate a favorable response to the application of incidental learning techniques in combination with the learner context. ULearnEnglish achieved an acceptance rate of 78.66% for the perception of utility, 96% for the perception of ease of use, 86.5% for user context assessment, and 88% for ubiquity. Among its main contributions, this study demonstrates a possible tool for ubiquitous use in the future in language learning; additionally, further studies can use the available resources to develop the system.

ACS Style

Letícia da Silva; Eduardo Neto; Rosemary Francisco; Jorge Barbosa; Luis Silva; Valderi Leithardt. ULearnEnglish: An Open Ubiquitous System for Assisting in Learning English Vocabulary. Electronics 2021, 10, 1692 .

AMA Style

Letícia da Silva, Eduardo Neto, Rosemary Francisco, Jorge Barbosa, Luis Silva, Valderi Leithardt. ULearnEnglish: An Open Ubiquitous System for Assisting in Learning English Vocabulary. Electronics. 2021; 10 (14):1692.

Chicago/Turabian Style

Letícia da Silva; Eduardo Neto; Rosemary Francisco; Jorge Barbosa; Luis Silva; Valderi Leithardt. 2021. "ULearnEnglish: An Open Ubiquitous System for Assisting in Learning English Vocabulary." Electronics 10, no. 14: 1692.

Journal article
Published: 12 July 2021 in IEEE Latin America Transactions
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Crime is one of the most critical problems in urban centers, especially in large cities. In this sense, technological solutions are needed to provide security to citizens, contributing to the reduction of crime rates. The present work proposes the UFollower model (Ubiquitous Follower) which meets this scenario. The scientific contribution of this work consists of the use of Context Histories and User Profiles for data analysis focused on ubiquitous security. The use of prediction mechanisms and historical contexts allowed to reach up to 70.35% of inference rate for a particular crime (domestic violence). The comparison with the related works indicates that UFollower is the only proposal that presents the issue of public security with context histories and user profile management. The evaluation was conducted through scenarios, allowing to evaluate the related hypotheses. In this sense, a context simulator was built where twenty objects interacted to allow the evolution. Among them, there are people, vehicles, cameras, and wearables.

ACS Style

Fabio Viegas; Jorge Luis Victoria Barbosa; Rafael Kunst; Wesllei Felipe Heckler. UFollower: A Model for Smart Cities Based on Ubiquitous Security and Surveillance. IEEE Latin America Transactions 2021, 19, 2019 -2027.

AMA Style

Fabio Viegas, Jorge Luis Victoria Barbosa, Rafael Kunst, Wesllei Felipe Heckler. UFollower: A Model for Smart Cities Based on Ubiquitous Security and Surveillance. IEEE Latin America Transactions. 2021; 19 (12):2019-2027.

Chicago/Turabian Style

Fabio Viegas; Jorge Luis Victoria Barbosa; Rafael Kunst; Wesllei Felipe Heckler. 2021. "UFollower: A Model for Smart Cities Based on Ubiquitous Security and Surveillance." IEEE Latin America Transactions 19, no. 12: 2019-2027.

Preprint
Published: 05 July 2021
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The use of Information Communication Technologies (ICT) in education brings up new possibilities of promoting the learning and health experiences. In this sense, education contexts of 21st century must consider these two areas of knowledge, especially their integration. This article presents learning practices developed with mobile devices and games, in order to improve learning and well-being in children and adolescents undergoing cancer treatment in non-formal educational setting. The methodology is based on qualitative case studies with content-based data analysis, involving informal interviews and observation methods. The study considers data from 5 patients who participated in the research between 2015 and 2019. The results demonstrate a positive influence of the practices with mobile technologies and games in terms of learning and in the well-being feeling of patients during the treatment.

ACS Style

Paulo R. Santos; Débora N. F. Barbosa; Eduardo Gonçalves de Azevedo Neto; Jorge L. V. Barbosa; Sérgio D. Correia; Valderi R. Q. Leithardt. Learning and Well-being in Educational Practices with Children and Adolescents Undergoing Cancer Treatment. 2021, 1 .

AMA Style

Paulo R. Santos, Débora N. F. Barbosa, Eduardo Gonçalves de Azevedo Neto, Jorge L. V. Barbosa, Sérgio D. Correia, Valderi R. Q. Leithardt. Learning and Well-being in Educational Practices with Children and Adolescents Undergoing Cancer Treatment. . 2021; ():1.

Chicago/Turabian Style

Paulo R. Santos; Débora N. F. Barbosa; Eduardo Gonçalves de Azevedo Neto; Jorge L. V. Barbosa; Sérgio D. Correia; Valderi R. Q. Leithardt. 2021. "Learning and Well-being in Educational Practices with Children and Adolescents Undergoing Cancer Treatment." , no. : 1.

Journal article
Published: 30 June 2021 in Informatics in Education
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ACS Style

Lidia M. da Silva; Lucas P. S. Dias; Jorge L. V. Barbosa; Sandro J. Rigo; Julio C. S. dos Anjos; Claudio F. R. Geyer; Valderi R. Q. Leithardt. Learning analytics and collaborative groups of learners in distance education: a systematic mapping study. Informatics in Education 2021, 1 .

AMA Style

Lidia M. da Silva, Lucas P. S. Dias, Jorge L. V. Barbosa, Sandro J. Rigo, Julio C. S. dos Anjos, Claudio F. R. Geyer, Valderi R. Q. Leithardt. Learning analytics and collaborative groups of learners in distance education: a systematic mapping study. Informatics in Education. 2021; ():1.

Chicago/Turabian Style

Lidia M. da Silva; Lucas P. S. Dias; Jorge L. V. Barbosa; Sandro J. Rigo; Julio C. S. dos Anjos; Claudio F. R. Geyer; Valderi R. Q. Leithardt. 2021. "Learning analytics and collaborative groups of learners in distance education: a systematic mapping study." Informatics in Education , no. : 1.

Journal article
Published: 30 June 2021 in IEEE Latin America Transactions
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This paper presents Delfos, a model for multi-temporal analysis based on historical contexts. The article describes the model architecture, implementation, and tests with two real datasets to evaluate the functionality and its potential to real applications. The first scenario used historical data from an electric power transmission substation, and the second with data from the performance analysis of futsal athletes. The results obtained through inference rules perform with 100% accuracy of the Profiles creation and that these are a better representation of the present, than only the current context data of the application. The results on the prediction of contexts were relevant in the case of the existence of behavior patterns in the contexts of the analyzed entities. For the application related to the electric power transmission substation, the assertiveness was between 86% and 92% in a 12-hour interval. In the application of performance analysis of futsal athletes, we made predictions about the athletes movement, with results varying between 72% and 92% for the time of up to 20 seconds. The results were encouraging and show potential for implementing Delfos in real-life situations.

ACS Style

Marcio Garcia Martins; Luan Nesi; Paulo Ricardo Da Silva Pereira; Jorge Luis Victoria Barbosa. DELFOS: A Model for Multitemporal Analysis based on Contexts History. IEEE Latin America Transactions 2021, 19, 1478 -1485.

AMA Style

Marcio Garcia Martins, Luan Nesi, Paulo Ricardo Da Silva Pereira, Jorge Luis Victoria Barbosa. DELFOS: A Model for Multitemporal Analysis based on Contexts History. IEEE Latin America Transactions. 2021; 19 (9):1478-1485.

Chicago/Turabian Style

Marcio Garcia Martins; Luan Nesi; Paulo Ricardo Da Silva Pereira; Jorge Luis Victoria Barbosa. 2021. "DELFOS: A Model for Multitemporal Analysis based on Contexts History." IEEE Latin America Transactions 19, no. 9: 1478-1485.

Journal article
Published: 25 June 2021 in Journal of Sensor and Actuator Networks
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The present work proposed a low-cost portable device as an enabling technology for agriculture using multispectral imaging and machine learning in soil texture. Clay is an important factor for the verification and monitoring of soil use due to its fast reaction to chemical and surface changes. The system developed uses the analysis of reflectance in wavebands for clay prediction. The selection of each wavelength is performed through an LED lamp panel. A NoIR microcamera controlled by a Raspberry Pi device is employed to acquire the image and unfold it in RGB histograms. Results showed a good prediction performance with R2 of 0.96, RMSEC of 3.66% and RMSECV of 16.87%. The high portability allows the equipment to be used in a field providing strategic information related to soil sciences.

ACS Style

Gilson Helfer; Jorge Barbosa; Douglas Alves; Adilson da Costa; Marko Beko; Valderi Leithardt. Multispectral Cameras and Machine Learning Integrated into Portable Devices as Clay Prediction Technology. Journal of Sensor and Actuator Networks 2021, 10, 40 .

AMA Style

Gilson Helfer, Jorge Barbosa, Douglas Alves, Adilson da Costa, Marko Beko, Valderi Leithardt. Multispectral Cameras and Machine Learning Integrated into Portable Devices as Clay Prediction Technology. Journal of Sensor and Actuator Networks. 2021; 10 (3):40.

Chicago/Turabian Style

Gilson Helfer; Jorge Barbosa; Douglas Alves; Adilson da Costa; Marko Beko; Valderi Leithardt. 2021. "Multispectral Cameras and Machine Learning Integrated into Portable Devices as Clay Prediction Technology." Journal of Sensor and Actuator Networks 10, no. 3: 40.

Journal article
Published: 24 June 2021 in Robotics and Autonomous Systems
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The World Health Organization (WHO) reported that more than 1 billion people live with some form of disability. Moreover, the number of elderly is increasing in recent years. According to the United Nations (UN), in 2050, there will be 2.1 billion people above 60 years of age worldwide. Many of these people live alone in their homes or clinics and rely on some kind of help to fulfill their specific needs. In this context, emerging opportunities for the application of robotics to support ubiquitous healthcare may reflect in reducing medical costs and increasing the convenience of patients and people in general. This paper presents a systematic mapping study to identify the application of service robots in the assistance of human care, focusing on the employment of computational technologies and unexplored research gaps in the literature. The study conducted searches in eight scientific repositories in the area of service robots through a systematic filtering process to remove bias. Afterward, the filtering process allowed to reduce from an initial sample of 9372 to 69 studies. As a result, these studies were reviewed entirely, analyzed, and categorized to answer six research questions. In addition, the study proposed four taxonomies illustrating the state-of-the-art of robotics in human care. The results highlight therapy and entertainment as the most common categories of the usage of robotics in human care. The most widely-used technologies to integrate with smart environments are smartphone sensors, smart device integration, wearables, and cloud services. The most frequently used mean of human–robot interaction is verbal communication, which is useful to help the elderly, children, and people with a mental health disorder. The most commonly cited diseases were cognition impairment, autism spectrum disorder, and motor impairment. Finally, we observed a trend in the growth of the use of service robots to improve the intelligence of the environment supporting human care. The scientific contribution of this article are four taxonomies that classify and group caregiver robots according to the application, integration with a smart environment, human–robot interaction, and target audience. This study also allowed the learning of 11 lessons on methodological and technological aspects based on the profound research performed.

ACS Style

Nícolas B. Santos; Rodrigo S. Bavaresco; João E.R. Tavares; Gabriel De O. Ramos; Jorge L.V. Barbosa. A systematic mapping study of robotics in human care. Robotics and Autonomous Systems 2021, 144, 103833 .

AMA Style

Nícolas B. Santos, Rodrigo S. Bavaresco, João E.R. Tavares, Gabriel De O. Ramos, Jorge L.V. Barbosa. A systematic mapping study of robotics in human care. Robotics and Autonomous Systems. 2021; 144 ():103833.

Chicago/Turabian Style

Nícolas B. Santos; Rodrigo S. Bavaresco; João E.R. Tavares; Gabriel De O. Ramos; Jorge L.V. Barbosa. 2021. "A systematic mapping study of robotics in human care." Robotics and Autonomous Systems 144, no. : 103833.

Preprint
Published: 01 June 2021
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Language learners often face communication problems when they need to express themselves and do not have this ability. On the other hand, continuous advances in technology create new opportunities to improve second language (L2) acquisition through context-aware ubiquitous learning (CAUL) technology. Since vocabulary is the foundation of all language acquisition, this article presents the ULearnEnglish, an open-source system to allow ubiquitous English learning focused on incidental vocabulary acquisition. To evaluate the proposal, 15 learners used the system developed, and 10 answered a survey based on the Technology Acceptance Model (TAM). Results indicate a favorable response to the use of the learner context to assist them in their learning. The ULearnEnglish achieved an acceptance of 78.66% for the perception of the utility, 96% for the perception of ease of use, 86% for user context assessment, and 88% for ubiquity. This study presented a positive response in using the location of users to assist their learning. Among the main contributions, this study demonstrates an opportunity for ubiquity use in future research in language learning. Also, furthers studies can use the source available to evolve the model and system.

ACS Style

Letícia Garcia da Silva; Eduardo Gonçalves de Azevedo Neto; Rosemary Francisco; Jorge Luis Victória Barbosa; Luis Augusto Silva; Valderi Reis Quietinho Leithardt. ULearnEnglish: An open Ubiquitous System for Assisting in the English Vocabulary Learning. 2021, 1 .

AMA Style

Letícia Garcia da Silva, Eduardo Gonçalves de Azevedo Neto, Rosemary Francisco, Jorge Luis Victória Barbosa, Luis Augusto Silva, Valderi Reis Quietinho Leithardt. ULearnEnglish: An open Ubiquitous System for Assisting in the English Vocabulary Learning. . 2021; ():1.

Chicago/Turabian Style

Letícia Garcia da Silva; Eduardo Gonçalves de Azevedo Neto; Rosemary Francisco; Jorge Luis Victória Barbosa; Luis Augusto Silva; Valderi Reis Quietinho Leithardt. 2021. "ULearnEnglish: An open Ubiquitous System for Assisting in the English Vocabulary Learning." , no. : 1.

Preprint
Published: 28 May 2021
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Daily thousands of people and goods move along Brazilian Federal highways. Traffic accidents are numerous on these highways and have a significant impact, whether on the economy or the health system. Identifying predictor variables, the probability of an event occurring and how to mitigate them are of paramount importance for the actions of the transit authorities that manage these roads. The main contribution of this study is the development of a predictive machine learning model which uses open data to shows graphically the critical points in the highways. This model is fully reproducible and can be applied to any region worldwide helping to minimize the number of accidents and to prevent deaths by automotive collisions. For this study, 43 variables were analyzed supporting the identification of the causes of accidents with fatal victims on the main highways in the south of Brazil. RoadLytics is proposed as a supervised machine learning model, using the Random Forest algorithm to analyze about 33 thousand occurrences between 2017 and 2020. An exploratory analysis of the data was carried out to support the modeling and to facilitate data visualization. In this sense, heat maps were developed to support the analysis and identification of potential risk areas. The results show that BR386 highway registers the highest number of fatal occurrences, regardless of the season. Additionally, concerning the weather conditions, the analysis shows that 52% of accidents occurred in favorable conditions, such as clear skies, victimizing 501 people. The driver’s lack of attention is the main reason for the accidents’ occurrences. Applying the developed model, an accuracy of 77% was achieved for the classification of fatal accidents.

ACS Style

Kelvin Luz; João Elison Da Rosa Tavares; Jorge Luis Victória Barbosa; Daniel Hernández de la Iglesia; Valderi Reis Quietinho Leithardt. RoadLytics: Road Accidents Analytics Using Artificial Intelligence to Support Deaths’ Prevention on Highways. 2021, 1 .

AMA Style

Kelvin Luz, João Elison Da Rosa Tavares, Jorge Luis Victória Barbosa, Daniel Hernández de la Iglesia, Valderi Reis Quietinho Leithardt. RoadLytics: Road Accidents Analytics Using Artificial Intelligence to Support Deaths’ Prevention on Highways. . 2021; ():1.

Chicago/Turabian Style

Kelvin Luz; João Elison Da Rosa Tavares; Jorge Luis Victória Barbosa; Daniel Hernández de la Iglesia; Valderi Reis Quietinho Leithardt. 2021. "RoadLytics: Road Accidents Analytics Using Artificial Intelligence to Support Deaths’ Prevention on Highways." , no. : 1.

Preprint
Published: 26 May 2021
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The present work proposed a low-cost portable device as an enabling technology for Smart Farms using multispectral imaging and Machine Learning in soil texture. Clay is an important factor for the verification and monitoring of soil use due to its fast reaction to chemical and surface changes. The system developed uses the analysis of reflectance in wavebands for clay prediction. The selection of each wavelength is performed through an LED lamp panel. A NoIR microcamera controlled by a Raspberry Pi device is employed to acquire the image and unfold it in RGB histograms. Results showed an good prediction performance with R2 of 0.96, RMSEC of 3.66% and RMSECV of 16.87%. The high portability allows the equipment to be used in a field providing strategic information related to soil sciences.

ACS Style

Gilson Augusto Helfer; Jorge Luis Victoria Barbosa; Douglas Alves; Adilson Ben da Costa; Marko Beko; Valderi Reis Quietinho Leithardt. Multispectral Cameras and Machine Learning integrated into Portable Devices as Enabling Technology for Smart Farms. 2021, 1 .

AMA Style

Gilson Augusto Helfer, Jorge Luis Victoria Barbosa, Douglas Alves, Adilson Ben da Costa, Marko Beko, Valderi Reis Quietinho Leithardt. Multispectral Cameras and Machine Learning integrated into Portable Devices as Enabling Technology for Smart Farms. . 2021; ():1.

Chicago/Turabian Style

Gilson Augusto Helfer; Jorge Luis Victoria Barbosa; Douglas Alves; Adilson Ben da Costa; Marko Beko; Valderi Reis Quietinho Leithardt. 2021. "Multispectral Cameras and Machine Learning integrated into Portable Devices as Enabling Technology for Smart Farms." , no. : 1.

Journal article
Published: 25 May 2021 in Electronics
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New Internet of Things (IoT) applications are enabling the development of projects that help with monitoring people with different diseases in their daily lives. Alzheimer’s is a disease that affects neurological functions and needs support to maintain maximum independence and security of patients during this stage of life, as the cure and reversal of symptoms have not yet been discovered. The IoT-based monitoring system provides the caregivers’ support in monitoring people with Alzheimer’s disease (AD). This paper presents an ontology-based computational model that receives physiological data from external IoT applications, allowing identification of potentially dangerous behaviors for patients with AD. The main scientific contribution of this work is the specification of a model focusing on Alzheimer’s disease using the analysis of context histories and context prediction, which, considering the state of the art, is the only one that uses analysis of context histories to perform predictions. In this research, we also propose a simulator to generate activities of the daily life of patients, allowing the creation of data sets. These data sets were used to evaluate the contributions of the model and were generated according to the standardization of the ontology. The simulator generated 1026 scenarios applied to guide the predictions, which achieved average accurary of 97.44%. The experiments also allowed the learning of 20 relevant lessons on technological, medical, and methodological aspects that are recorded in this article.

ACS Style

Savanna Machado; João Tavares; Márcio Martins; Jorge Barbosa; Gabriel González; Valderi Leithardt. Ambient Intelligence Based on IoT for Assisting People with Alzheimer’s Disease Through Context Histories. Electronics 2021, 10, 1260 .

AMA Style

Savanna Machado, João Tavares, Márcio Martins, Jorge Barbosa, Gabriel González, Valderi Leithardt. Ambient Intelligence Based on IoT for Assisting People with Alzheimer’s Disease Through Context Histories. Electronics. 2021; 10 (11):1260.

Chicago/Turabian Style

Savanna Machado; João Tavares; Márcio Martins; Jorge Barbosa; Gabriel González; Valderi Leithardt. 2021. "Ambient Intelligence Based on IoT for Assisting People with Alzheimer’s Disease Through Context Histories." Electronics 10, no. 11: 1260.

Preprint
Published: 04 May 2021
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The new Internet of Things (IoT) applications are enabling the development of projects that help monitoring people with different diseases in their daily lives. Alzheimer’s is a disease that affects neurological functions and needs support to maintain maximum independence and security of patients during this stage of life, as the cure and reversal of symptoms have not yet been discovered. The IoT-based monitoring system provides the caregivers’ support in monitoring people with Alzheimer’s Disease (AD). This paper presents an ontology-based computational model which receives physiological data from external IoT applications, allowing to identify of potentially dangerous behaviors for patients with AD. The main scientific contribution of this work is the specification of a model focusing on Alzheimer’s disease using the analysis of Context Histories and Context Prediction, which considering the state of the art, it is the only one that uses analysis of Context Histories to perform predictions. The research also proposes a simulator to generate activities of the daily life of patients allowing the creation of datasets. These datasets were used to evaluate the contributions of the model and were generated according to the standardization of the ontology. The simulator generated 1025 scenarios applied to guide the predictions, which achieved average accurary of 97.44%. The experiments also allowed the learning of 20 relevant lessons on technological, medical and methodological aspects of DCARE that are recorded in this article.

ACS Style

Savanna Denega Machado; João Elison Da Rosa Tavares; Márcio Garcia Martins; Jorge Luis Victória Barbosa; Gabriel Villarrubia González; Valderi Reis Quietinho Leithardt. Ambient Intelligence Based on IoT for Assisting People with Alzheimer’s Disease Through Context Histories. 2021, 1 .

AMA Style

Savanna Denega Machado, João Elison Da Rosa Tavares, Márcio Garcia Martins, Jorge Luis Victória Barbosa, Gabriel Villarrubia González, Valderi Reis Quietinho Leithardt. Ambient Intelligence Based on IoT for Assisting People with Alzheimer’s Disease Through Context Histories. . 2021; ():1.

Chicago/Turabian Style

Savanna Denega Machado; João Elison Da Rosa Tavares; Márcio Garcia Martins; Jorge Luis Victória Barbosa; Gabriel Villarrubia González; Valderi Reis Quietinho Leithardt. 2021. "Ambient Intelligence Based on IoT for Assisting People with Alzheimer’s Disease Through Context Histories." , no. : 1.

Journal article
Published: 28 April 2021 in Informatics in Education
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ACS Style

Tiago Luís de Andrade; Sandro José Rigo; Jorge Luis Victória Barbosa. Active Methodology, Educational Data Mining and Learning Analytics: A Systematic Mapping Study. Informatics in Education 2021, 1 .

AMA Style

Tiago Luís de Andrade, Sandro José Rigo, Jorge Luis Victória Barbosa. Active Methodology, Educational Data Mining and Learning Analytics: A Systematic Mapping Study. Informatics in Education. 2021; ():1.

Chicago/Turabian Style

Tiago Luís de Andrade; Sandro José Rigo; Jorge Luis Victória Barbosa. 2021. "Active Methodology, Educational Data Mining and Learning Analytics: A Systematic Mapping Study." Informatics in Education , no. : 1.

Journal article
Published: 26 February 2021 in Sensors
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The application of ubiquitous computing has increased in recent years, especially due to the development of technologies such as mobile computing, more accurate sensors, and specific protocols for the Internet of Things (IoT). One of the trends in this area of research is the use of context awareness. In agriculture, the context involves the environment, for example, the conditions found inside a greenhouse. Recently, a series of studies have proposed the use of sensors to monitor production and/or the use of cameras to obtain information about cultivation, providing data, reminders, and alerts to farmers. This article proposes a computational model for indoor agriculture called IndoorPlant. The model uses the analysis of context histories to provide intelligent generic services, such as predicting productivity, indicating problems that cultivation may suffer, and giving suggestions for improvements in greenhouse parameters. IndoorPlant was tested in three scenarios of the daily life of farmers with hydroponic production data that were obtained during seven months of cultivation of radicchio, lettuce, and arugula. Finally, the article presents the results obtained through intelligent services that use context histories. The scenarios used services to recommend improvements in cultivation, profiles and, finally, prediction of the cultivation time of radicchio, lettuce, and arugula using the partial least squares (PLS) regression technique. The prediction results were relevant since the following values were obtained: 0.96 (R2, coefficient of determination), 1.06 (RMSEC, square root of the mean square error of calibration), and 1.94 (RMSECV, square root of the mean square error of cross validation) for radicchio; 0.95 (R2), 1.37 (RMSEC), and 3.31 (RMSECV) for lettuce; 0.93 (R2), 1.10 (RMSEC), and 1.89 (RMSECV) for arugula. Eight farmers with different functions on the farm filled out a survey based on the technology acceptance model (TAM). The results showed 92% acceptance regarding utility and 98% acceptance for ease of use.

ACS Style

Bruno Martini; Gilson Helfer; Jorge Barbosa; Regina Espinosa Modolo; Marcio da Silva; Rodrigo de Figueiredo; André Mendes; Luís Silva; Valderi Leithardt. IndoorPlant: A Model for Intelligent Services in Indoor Agriculture Based on Context Histories. Sensors 2021, 21, 1631 .

AMA Style

Bruno Martini, Gilson Helfer, Jorge Barbosa, Regina Espinosa Modolo, Marcio da Silva, Rodrigo de Figueiredo, André Mendes, Luís Silva, Valderi Leithardt. IndoorPlant: A Model for Intelligent Services in Indoor Agriculture Based on Context Histories. Sensors. 2021; 21 (5):1631.

Chicago/Turabian Style

Bruno Martini; Gilson Helfer; Jorge Barbosa; Regina Espinosa Modolo; Marcio da Silva; Rodrigo de Figueiredo; André Mendes; Luís Silva; Valderi Leithardt. 2021. "IndoorPlant: A Model for Intelligent Services in Indoor Agriculture Based on Context Histories." Sensors 21, no. 5: 1631.

Journal article
Published: 28 January 2021 in JUCS - Journal of Universal Computer Science
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People with disabilities and the elderly face difficulties to fulfill their accessibility needs in their daily life routines, mainly when they have an emergency demanding speedy and specific assistance. This article proposes the SafeFollowing, a collaborative model to help people with disabilities and the elderly in smart assistive cities. The main contribution of this work is the specification of a decentralized model of ubiquitous accessibility, which involves public agents and volunteers to attend the users’ requests. SafeFollowing also allows the use of police vehicles mapping, in order to provide a specific follow-up in adverse situations of daily life. The model was validated through experiments in real case scenarios by 14 public agents and 11 elderly and people with disabilities. The results showed that 100% of evaluators (users and agents) stated that the model was useful and 82% of users and 100% of agents considered that SafeFollowing was easy to use. The experiments also allowed the learning of 5 relevant lessons on technological and usability aspects of SafeFollowing that are recorded in this article.

ACS Style

Christian Moreira Matos; Vítor Kehl Matter; Márcio Garcia Martins; João Elison Da Rosa Tavares; Alexandre Sturmer Wolf; Paulo César Buttenbender; Jorge Luis Victória Barbosa. Towards a Collaborative Model to Assist People with Disabilities and the Elderly People in Smart Assistive Cities. JUCS - Journal of Universal Computer Science 2021, 27, 65 -86.

AMA Style

Christian Moreira Matos, Vítor Kehl Matter, Márcio Garcia Martins, João Elison Da Rosa Tavares, Alexandre Sturmer Wolf, Paulo César Buttenbender, Jorge Luis Victória Barbosa. Towards a Collaborative Model to Assist People with Disabilities and the Elderly People in Smart Assistive Cities. JUCS - Journal of Universal Computer Science. 2021; 27 (1):65-86.

Chicago/Turabian Style

Christian Moreira Matos; Vítor Kehl Matter; Márcio Garcia Martins; João Elison Da Rosa Tavares; Alexandre Sturmer Wolf; Paulo César Buttenbender; Jorge Luis Victória Barbosa. 2021. "Towards a Collaborative Model to Assist People with Disabilities and the Elderly People in Smart Assistive Cities." JUCS - Journal of Universal Computer Science 27, no. 1: 65-86.

Long paper
Published: 05 January 2021 in Universal Access in the Information Society
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This article presents a model for the therapeutic process and the interaction between the patient and mental health professional, assisting in the treatment of anxiety disorder. The proposed model uses the Dysfunctional Thinking Record, a tool widely used by cognitive behavioral therapy to detect and record the patient’s distorted thoughts (trigger for anxiety episodes). The patients can record these thoughts using a mobile application to collect their location and related media data. Also, therapists can use a management panel to visualize and interact with the records sent by their patients. In addition, the therapist can personalize the patient’s experience with tips and techniques for controlling anxiety. A prototype was developed and evaluated with specialists in the areas of psychology and psychiatry through scenarios. The results showed that the application can promote advances in the therapeutic process through ubiquitous interaction. All specialists recommended the application and suggested new features for use by patients.

ACS Style

Leonardo Dos Santos Paula; Jorge Luis Victória Barbosa; Lucas Pfeiffer Salomão Dias. A model for assisting in the treatment of anxiety disorder. Universal Access in the Information Society 2021, 1 -11.

AMA Style

Leonardo Dos Santos Paula, Jorge Luis Victória Barbosa, Lucas Pfeiffer Salomão Dias. A model for assisting in the treatment of anxiety disorder. Universal Access in the Information Society. 2021; ():1-11.

Chicago/Turabian Style

Leonardo Dos Santos Paula; Jorge Luis Victória Barbosa; Lucas Pfeiffer Salomão Dias. 2021. "A model for assisting in the treatment of anxiety disorder." Universal Access in the Information Society , no. : 1-11.

Journal article
Published: 01 January 2021 in Journal of the Brazilian Chemical Society
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Adilson Da Costa; Gilson Helfer; Jorge Barbosa; Iberê Teixeira; Roberta Santos; Ronaldo Dos Santos; Mônica Voss; Sandra Schlessner; Juliano Barin. PhotoMetrix UVC: A New Smartphone-Based Device for Digital Image Colorimetric Analysis Using PLS Regression. Journal of the Brazilian Chemical Society 2021, 1 .

AMA Style

Adilson Da Costa, Gilson Helfer, Jorge Barbosa, Iberê Teixeira, Roberta Santos, Ronaldo Dos Santos, Mônica Voss, Sandra Schlessner, Juliano Barin. PhotoMetrix UVC: A New Smartphone-Based Device for Digital Image Colorimetric Analysis Using PLS Regression. Journal of the Brazilian Chemical Society. 2021; ():1.

Chicago/Turabian Style

Adilson Da Costa; Gilson Helfer; Jorge Barbosa; Iberê Teixeira; Roberta Santos; Ronaldo Dos Santos; Mônica Voss; Sandra Schlessner; Juliano Barin. 2021. "PhotoMetrix UVC: A New Smartphone-Based Device for Digital Image Colorimetric Analysis Using PLS Regression." Journal of the Brazilian Chemical Society , no. : 1.

Journal article
Published: 01 December 2020 in Information and Software Technology
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Risk event management has become strategic in Project Management, where uncertainties are inevitable. In this sense, the use of concepts of ubiquitous computing, such as contexts, context histories, and mobile computing can assist in proactive project management. This paper proposes a computational model for the reduction of the probability of project failure through the prediction of risks. The purpose of the study is to show a model to assist teams to identify and monitor risks at different points in the life cycle of projects. The work presents as scientific contribution to the use of context histories to infer the recommendation of risks to new projects. The research conducted a case study in a software development company. The study was applied in two scenarios. The first involved two teams that assessed the use of the prototype during the implementation of 5 projects. The second scenario considered 17 completed projects to assess the recommendations made by the Átropos model comparing the recommendations with the risks in the original projects. In this scenario, Átropos used 70% of each project's execution as learning for the recommendations of risks generated to the same projects. Thus, the scenario aimed to assess whether the recommended risks are contained in the remaining 30% of the executed projects. We used as context histories, a database with 153 software projects from a financial company. A project team with 18 professionals assessed the recommendations, obtaining a result of 73% acceptance and 83% accuracy when compared to projects already being executed. The results demonstrated a high percentage of acceptance of the recommendation of risks compared to the other models that do not use the characteristics and similarities of projects. The results show the applicability of the risk recommendation to new projects, based on the similarity analysis of context histories. This study applies inferences on context histories in the development and planning of projects, focusing on risk recommendation. Thus, with recommendations considering the characteristics of each new project, the manager starts with a larger set of information to make more assertive project planning.

ACS Style

Alexsandro Souza Filippetto; Robson Lima; Jorge Luis Victória Barbosa. A risk prediction model for software project management based on similarity analysis of context histories. Information and Software Technology 2020, 131, 106497 .

AMA Style

Alexsandro Souza Filippetto, Robson Lima, Jorge Luis Victória Barbosa. A risk prediction model for software project management based on similarity analysis of context histories. Information and Software Technology. 2020; 131 ():106497.

Chicago/Turabian Style

Alexsandro Souza Filippetto; Robson Lima; Jorge Luis Victória Barbosa. 2020. "A risk prediction model for software project management based on similarity analysis of context histories." Information and Software Technology 131, no. : 106497.

Review
Published: 09 November 2020 in Applied Neuropsychology: Child
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The inhibitory control is a component of the executive functions that allows the individual to inhibit inadequate behaviors, resist distractions and select a relevant stimulus when executing activities. In the neuropsychology field, evidences of stimulation and improvement of the inhibitory control through school interventions is sought by using computerized software, such as digital games. These research studies constitute an important investigation area within the executive functions in ecological approaches. This paper presents a systematic mapping study on inhibitory control stimulation in elementary school children with the use of digital games. The investigation encompassed an automated database search with further backward snowballing procedure with the final selection for additional publications as research strategy. The automated search considered six databases: SCOPUS, PubMed, IEEE Explore Digital Library, ACM Library, Springer Link, and Scielo. The initial database search found 641 works published between 2014 and 2019. After the exclusion and inclusion criteria were considered, three publications related to digital games or mobile applications were found and selected for analysis, which focused on inhibitory control or correlated processes stimulation in school-based interventions with elementary school children. Results indicated that investigations within the field are incipient, pointing to an emerging research area.

ACS Style

Bernardo Benites Cerqueira; Débora Nice Ferrari Barbosa; João Batista Mossmann; Caroline De Oliveira Cardoso; Jorge Luis Victória Barbosa. Inhibitory control stimulation in elementary school children through digital games: A systematic mapping study. Applied Neuropsychology: Child 2020, 1 -12.

AMA Style

Bernardo Benites Cerqueira, Débora Nice Ferrari Barbosa, João Batista Mossmann, Caroline De Oliveira Cardoso, Jorge Luis Victória Barbosa. Inhibitory control stimulation in elementary school children through digital games: A systematic mapping study. Applied Neuropsychology: Child. 2020; ():1-12.

Chicago/Turabian Style

Bernardo Benites Cerqueira; Débora Nice Ferrari Barbosa; João Batista Mossmann; Caroline De Oliveira Cardoso; Jorge Luis Victória Barbosa. 2020. "Inhibitory control stimulation in elementary school children through digital games: A systematic mapping study." Applied Neuropsychology: Child , no. : 1-12.