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RESUMO: atualmente, para pessoa com deficiência visual total realizar o Exame Nacional do Ensino Médio (ENEM), disponibilizam-se materiais adaptados e auxílio humano, este com a finalidade de leitura da prova, preenchimento de gabaritos e transcrição da redação. Consequentemente, para a realização da prova, a pessoa com deficiência depende fortemente de outras pessoas. O objetivo deste estudo é identificar as questões de acessibilidade existentes no processo atual do ENEM e apresentar uma solução que, por meio de um aplicativo com acessibilidade digital denominado ENEM Acessível, viabiliza a participação da pessoa com deficiência visual total com autonomia no exame. Com base na metodologia de Projeto Centrado no Usuário e em pesquisa de levantamento qualitativa, o aplicativo foi especificado, construído e avaliado. Os resultados do estudo, que contou com a participação de 33 pessoas com deficiência visual total em suas várias etapas, demonstram que as barreiras de comunicação atualmente existentes podem ser eliminadas com o uso do computador e do aplicativo ENEM Acessível, permitindo que pessoas com deficiência visual total realizem a prova de ingresso no Ensino Superior com autonomia e em condições de igualdade com os demais participantes.

Robotic Process Automation (RPA) refers to process automation applications of traditional Information Technologies based on robot software with the ability to capture and interpret the specific processes of organizations. Studies show that RPAs are able to reduce resources and optimize processes effectively in relation to customers. Some of these call center business processes deal with customers most likely to complain; therefore, a "Proactive Notification" robot was developed to classify these types of customers to be prioritized. This robot defines the creation of an RPA architecture for proactive notifications applied to an electric company in Brazil. The methodology used for the development of this project consisted of data management, predictive models, and peripheral components for sending SMS and making calls. It was tested against all customers in 40 cities (two states) and the model considers the historical basis of 3 years of occurrences to predict customers with a high probability of filing a complaint due to power failure. The results show that customers who were called for this type of problem did not call the call center again to complain, suggesting positive acceptance of the robot. In conclusion, the robot presented herein is capable of making proactive notifications with high precision to customers with the highest probability of complaints, predicting possible problems.

Mobile web has created several opportunities for the development of assistive technologies that can support disabled people in the performance of daily life activities. Mobile applications can be developed using participatory design methods which result in customized assistive solutions. In this paper, we describe the development of a mobile application to support M, a man with cerebral palsy in his communication and professional activities, highlighting the use of a participatory design method. We discuss the changes that mobile web can bring to disabled people´s lives, in the light of this experience. We conclude that mobile web applications can be configured as interesting solutions for assistive technologies.

People's usage of social networks, mobile applications, websites, sensor networks and other computer systems leads to a massive production of personal data about their behaviors and preferences. Personal data are used by organizations in business and marketing tasks. However, details about personal data usage are often not accessible or clear to data subject, raising concerns about privacy and security. Presentation of information about personal data usage needs improvement towards Personal Data Transparency. Thus, this paper aims to present the TR-Model, a Metadata Application Profile guideline that intends to propose a standardization on information to be considered minimally necessary to Personal Data Transparency as well as a set of specifications to guide developers on how to present this data. TR-Model elements are focused providing Personal Data Transparency in a user-friendly and high quality format. TR-Model presents a set of specification based on entities, metadata, metaevents and descriptions. The model evaluation was based on user testing in several scenarios of usage of personal data in a gym application tool. The information presented was created based on the TR-Model metadata, metaevents and descriptions. Participants evaluated transparency considering dimensions of Human-Computer Interaction and Information Quality. Participants' opinions were recorded in surveys and analyzed with descriptive statistics; the results indicate that the TR-Model was effective in supporting the production of friendly, understandable and relevant Transparency for data subjects, in compliance with regulations like GDPR.

As a consequence of the National Policy on Special Education on the Perspective of Inclusive Education in Brazil, established in 2007, mainstream schools have begun receiving a greater number of Deaf or Hard of Hearing (D/HH) students that previously attended specialized schools. However, data point to the declining number of D/HH students enrolled from primary school to secondary school; i.e., there are reasons to believe that educational barriers are imposed on the means these students have of conquering a complete education. In this context, the goal of this work is to propose a technology acceptance model that takes into account constructs that involve aspects of the inclusive education context, as well as performing a pilot test on the interaction of 16 D/HH users with a mobile application, called SESSAI, to evaluate the model. SESSAI consists of a technology-mediated form of communication, which allows hearing persons and D/HH individuals to interact through an automatic recognition system. Among the constructs of the model, one of them refers to the potential educational barriers experienced by D/HH students in inclusive classrooms. With regard to research methodology, the study was developed in cycles of literature review and conduction of tests. The proposed model has shown positive results in capturing factors that influence technology acceptance given the domain specific context, since they incorporate aspects of pragmatic quality and hedonic quality (emotional user experience), and also considers issues related to perceived usefulness in minimizing potential educational barriers, future expectations, and facilitating conditions. We conclude that the model encompasses both users' personal motivation and context of use aspects, and it can be used for the purpose for which it was proposed. Further investigations need to be conducted in order to adjust the model questionnaire and to recruit a broader number of participants.