RCAAP Repository

The appearance and popularization of the internet has brought deep changes, bringing the possibility of great part of the social relations developing through data flows which travel within it. The collection and processing of this data is seen as essential for the technical and economical survival of the World Network. Many companies have today as main business, the use of this information which is collected from available applications on the internet that, not rarely, are offered for free to the public. The processing of this data, as done nowadays, reveals information which is contained in private scope, whereas the procedures involved, as well as the scale which is used, may defines a picture of surveillance, with social effects recognizably damaging. In this way, it is established a problem around the recognition of this data, the reason why the politics of site and application usages bring with them the authorization for collection and processing in an attempt to legitimize its use. Taking into consideration that the field of Information Science enables studies related to the utilization of informative technologies, its access and use, in this study we try to identify the current legal landscape related to the protection of intimacy and privacy, establishing the guidelines from there issued, from which a study of usage politics of some services are made, especially the one which mentions such protection. Some aspects related to difficulties to establish a concept of privacy are addressed, as well as the changes that their protection has known throughout time, notably in relation to technological innovations. From the analysis of the selected terms of use, we evaluated if the probability of the guidelines contained in them are compatible with the protection to privacy and if the consent manifested by its users is made with the view of information capable of providing, with the due clarity and precision, an understanding of the demonstration of will consequences. It is found however, that the terms used for the study serve much more to legitimize the indiscriminative use of collected data in the perspective of the appearance of new technologies and with that, new processing possibilities. Thereby, we suggest the adoption of a protection model which conjugates a certain degree of liberty to its user to control his own data, but from general guidelines established by the State, who should also be in charge of supervising its observance by the companies who are direct or indirectly responsible for the collection of data and processing of information.

This research aims to identify which are the reasons that lead people from rural communities to overcome the challenges of handling technological devices when acquire new habits on their routines. Evidences related to these difficulties which the subject experiences technology usage is called, in this research, by “Gabriela’s Syndrome”, term that started to be used commonly after the soap opera “Gabriela cravo e canela”, written by Jorge Amado, in which Gabriela was the protagonist. She was a simple woman who did not get used to the urban life. The soundtrack says “... I was born on this way. I am just like this way. I will be always like this way that is my own way, Gabriela…”. The project “Luz do Saber”, at the rural community in Engenho Velho, Joao Pessoa, is an opportunity for people who live there being able to be literate through interactive activities like didactics games on the computer that help the student to become literate. However, despite all these resources offered by the program, it was verified the a strong resistance by people due to the technology usage – aspect that means changing of habits and costums. The analysis of the phenomenon found at this community is helped by the theory of Digital Limitations that was developed by Bellini et al. (2010), which presents a tridimensional model of Access Limitation, Informational Cognitive Limitation and Behavioral Limitation. This research investigates what motivates these students to overcome their limitations and attend their project’s classes. It was conducted through the construction of theoretical references about the project’s subject and counted on Focal Group’s support of data collection technic, which it was discussed questions based on TAM’s model (model of acceptation technology) under analysis of public opinions contente. Referencing this procedure, it will be produced advices which other similar social projects can take in order to target their goals and a higher popular acceptance. As a result, it was proven that applications of cognitive theory and social learning in pedagogical methodologies help to overcome the resistence to the challenge of changing and the usage of ICTs (Information and Communication Technologies).

The study has presented a research work about the ethnical-racial information of African origin and of African descendants, due to the understanding that the articulation of this kind of information with the theoretical fundaments of the Science of Information has the purpose of rescuing, spreading and adding value to the knowledge about African ancestry and its descendants. The proposed general goal is to analyze the ethnical-racial information in the perspective of African-rooted and African-descendant ethnics, parting from Discursive Semantics, aiming at the conceptualization of the themes approached in this context. The specific goals were: a) mapping the sources of information; b) identifying descriptors; and c) elaborate the glossary of ethical-racial information. The research intended to afford visibility and due importance to the ethnocentric informational flow for considering that knowledge of the terminology of the field is an inherent necessity to all researches/scholars; initiatives towards constructing a glossary of ethnical-racial information are non-existent; ethnical-racial information is little scarcely available in the academic environment; and, that studies which allow the insertion of the afro-centric culture in the Eurocentric current panorama are incipient. The corpus of this research ha as an ally the web environment to reach the informational sources, searching the keywords History of Africa and black people in Brazil, which and without Boolean operators or hyphen. As a selective criteria was the results until the 10th page of the search engine Google, university library websites, Digital Libraries of Theses and Dissertations (BDTDs), institutional repositories, directories of electronic periodic publications, etc. The methodological path had a qualitative analysis, and, for data analysis, documents were approached from the Discursive Semantics perspective, in an attempt to connect the expression or significant of words or expressions with the content or meaning for the indexation of words and linguistic expressions to be collected. The semantic procedures of thematization and figurativization of Greimasian base were the ones responsible by extracting the figures of natural language and for attributing themes to the identified figures. The process of discursivization employed for obtaining positive results of this research work, since the moment of indexation, has shownefficacy in the proposed task, in a way that the figures and the themes became effective as descriptors and, ultimately, formed a glossary of ethnical-racial information. The research highlighted Discurs Semantic as a method capable to execute the task of analyzing and representing ethnical-racial information of African origin with the intent of contributing in a practical way to disseminate and add positive value to this kind of information. It’s also important that this research can serve as an incentive to guide new works for the studies that search solutions with the intent of reduce the effects of the invisibility of ethnical-racial information of African origin, considering that the same way the black person which, despite all the progress, is still far from being free of inequalities, the ethnical-racial information also needs to circulate freely I the academic context, based in the principle of heterogeneity.

In the production and communication practices in academic context, scientific information is the element that drives the activities of researchers in the construction of their work. The use of scientific information process favors the acquisition of new knowledge, contributing to the advancement and development of science. In the academic environment, specifically graduate, the use of scientific information is of paramount importance for the development of academic work, as well as the field of foreign literature for access to content present in the literature in the sphere of science is critical of information. The use of this literature in the context of information science, enables the generation, communication and knowledge sharing among researchers. Thus, the research aims to analyze the use of foreign literature in thesis graduate programs in information science. To reach the goal, the research is classified as descriptive, document and quantitative. Therefore, the empirical field corresponded to graduate programs in information science (PhD) at UNESP / MAR, UNB and UFMG. The corpus of the research is linked to the bases of these institutions, defended in the period from 2011 to 2013, totaling 103 theses. The instrument used for data collection was the standard form in an Excel spreadsheet containing the categories necessary to the process of collecting and analyzing information, such as: language, document type, document source, authors of reference today. For data analysis we used the analysis of references, based on bibliometrics. It was found by the results, that the foreign literature is represented by a percentage of 36.8% of the literature used in the preparation of theses by their authors, while the national literature surpasses the use of a general, over 60% of total analyzed references. As for the use of foreign literature, the survey indicated that most of the theses was characterized by doing "little use" of this literature, may reveal the lack of knowledge of other languages by the authors of the theses and the loss of access to information in academia and scientific. It was also found that the most widely used language of foreign literature is English, followed by Spanish and French. Regarding the most common document type is the journal article, followed by the book and the electronic document. The geographical origins, mostly are from the USA and England. The group of authors and co-authors of foreign literature consists of theoretical directly linked to information science. About today's foreign literature, it was found that the authors of the theses make use of recent references. It is considered, therefore, that the contemplation of this theme saw new knowledge to the science of information with regard to awareness when using foreign literature, from the confirmation that it enables increased access to valuable information provided in the theoretical framework the area in which researchers work.

This research studies the importance of knowledge management in a company in the industrial sector of the construction, considering the competitive and ever-expanding market. It is believed that the Knowledge Management (KM) can contribute, at first, with the productivity and competitiveness in organizational business and, as a consequence, stimulate social and economic development of the country. The overall objective is to analyze the process of knowledge management in Cerâmica Salema company, in view of Information Science. As specific objectives, we sought to identify existing practices in every step of the GC, they are: creation/acquisition; explicitness, filing and access; sharing/dissemination; editing/adaptation and disposal. In the methodological aspect, the research used the inductive method, being identified as an applied, exploratory and descriptive research with quantiqualitative approach. The research universe is composed of the members that make up the three organizational levels of Cerâmica Salema. As for the data collection procedures, it is a literature and field, whose instrument was a mixed questionnaire, applied with the leader of the strategic level, the managers of the intermediate level, the operational level of employees (administrative area) and operational level employees (industrial production sector). The data analysis was done through content analysis, from the thematic or technical categorical Bardin (2011), considering the categories of analysis drawn from the process model in GC represented by Bergeron (2003), which was used as a parameter for research, for allowing the identification of KM practices and information management practices, this part of the KM process. The results of the analysis indicate the existing shares in the company and the blanks in each step of the process. As for the management practices of knowledge, was identified the need to implement a Training, Development & Corporate Education Programme (TD&E) for the development of individual skills of employees. With respect to information management practices, was identified the importance and the need for a database of individual and organizational skills to promote the sharing of tacit knowledge among employees, as well as improving internal communication and means available for retention knowledge at the operational level/production. In relation to information technology and communication to support the process, was perceived the need for greater use of the tools and workflow CMS and different technologies EDM in order to contribute to improving the quality of information and the affection of the mechanisms storage and access to information in the corporate environment. Was identified also the need to review the information architecture in the enterprise portal. Finally, this study will support the development of policies and strategies for the implementation of a knowledge management program in Cerâmica Salema company, based on the evaluation of the initiatives already implemented and the identification of needs at each stage of the process.

A library is a type of information unit and, as such, it is influenced by market, globalization and technologies as well. Thus, it can make use of technological influence in order to guarantee quality as to the offered services. Nowadays, several virtual resources can be used by libraries. Digital Information and Communication Technologies (TDIC’s) can serve as a strategic alternative towards an effective and personalized communication between the library and its users, and simultaneously, relationship marketing by means of such tools. The main purpose of this study is to create – in a collective action with librarians who work at library groups that give support to the health area at UFPB – a digital tool which enables optimization in the information sharing of the mentioned number of libraries with its users. To achieve such a goal, the research is taken as research-action. Therefore, it is focused on a collaborative action between the researcher-author and the participant researchers. The research field was represented by four libraries which are part of the UFPB’s Library System (SISTEMOTECA): the Specialized Library of the Medical Science Center (CCM), the Specialized Library of the Health Science Center (CCS), the Specialized Library of Lauro Wanderley University Hospital (HULW) and the Specialized Library of the Nursery Technical School (ETE). The research’s participants were formed by 06 (six) managers of the cited libraries. To sum up, with the outcome, it was possible to perceive that among the four information units, three of them did not have any online communication tool. For this reason, in a collaborative action, the chosen social media to be applied and to improve the present context – among so many tool varieties – was the Fan Page, due to the fact that a great deal of users, within the library group, is connected to this communication channel. Besides that, guidelines were designed to direct a collective action among the studied libraries. Through all readings carried out to develop this study, it was possible to realize that a good communication, in present times, ought to be redesigned with the adding of the TDCIs. Moreover, not only is this an operational process, but it is also a management strategy which can guarantee the effectiveness of information dissemination, since that it sets an innovative way of communication. To conclude, libraries need to be continuously adapted to the described modern communication arenas, thus, updating their communicative practices.

The flow of information in the newsroom of journalism companies poses challenges to professional journalists users of information, specifically in cases involving the news production. These methods comprise the steps of data collection; determination of fact; description of that information; and dissemination of information. In this set, we aimed to investigate the news production processes in journalistic units and their informativeness of conditions for construction of meaning. Therefore, we seek to specifically describe the information flows involving the construction of the news; identify the sources of information that subsidize the construction of the news in journalistic units and their reliability interfaces; check the political and social aspects that influence the organization and communication of news as significant structure; and examine the conditions of informativeness in production processes, communication and use of information in journalistic units. Its universe seven television stations holding public concession in the State of Paraíba: TV Correio (Record), TV Arapuã (TV Network), TV Tambaú (SBT), TV Cabo Branco (Globo), TV Clube (Band) TV Paraíba - (Globo) and TV Borborema (SBT). In the methodological procedures, we adopted the Collective Subject Discourse (CSD), proposed by Lefèvre and Lefèvre (2003), which reveals itself as an orderly and effective tool of communication, which is the basis of all social representations. The study presents a qualitative perspective, the approach deepens the investigation of the universe of meanings of human actions and relations, according to Minayo (1996), this approach is concerned with a level of reality that can not be quantified because it meets the nature of meanings, motives, aspirations, beliefs, values and attitudes, conditions indicated to choose the DSC method. During data collection, we used semi-structured oral interviews with text editors Mail Television System, affiliated to Rede Record in Paraíba and TV Club Band affiliate in Paraíba. The two companies have different aspects as culture, ideology and ratings. Although occupying different in that values the ideological currents, the condition of informativeness these journalistic units is similar on how to approach and editorial referrals. The results show that editorial control mechanisms cover political and economic forces, they regulate the flow of journalistic information. The reliability information is the result of this process, since it is shaped to suit individual interests and therefore the newspaper is diluted in the customary which reads the work ethic. Information sources that support data and journalistic facts become secondary, the spread of journalistic information once meets the reports and dictates of mercantile institutions, understood in this context as expressions of power from the design of Foucault (2012). These events indicate direct interference from political and economic forces in the construction of the meaning of information, so journalists are professionals under the umbrella of these organizations that, in turn, shape the daily events from their interests, compromising aspects of informativeness in production of news in journalistic units

The use of Computer Graphics techniques in Telemedicine systems can enrich the streaming videos of surgeries, facilitating the understanding of patients' problems, improving communication between surgeons and the medical team and providing improvements in teaching and learning. The purpose of this work is to prepare and develop a strategy for recording 3D experience that simulates the anatomical structures of the human body, performed during a surgical transmission in real time. This multimedia experience generated by multiple streams of video, audio and 3D models is relevant to medical students that watch the transmission, both live and non-simultaneous form. In this scenario, emerges the need of a strategy to enable the recording of the 3D experience in the context of the Arthron tool, which already has modules that allows recording audio and video streams transmitted in real time surgeries, but not the 3D experience. Thus, a multimedia system can use the proposed strategy to record some extra content transmitted in real time that subsequently needs to be played again. With this strategy, we intend to make a larger amount of members of medical teams to have access to materials generated by multimedia streams in real time, providing an extensive training program, independent of geographical distances.

Distributed Denial of Service (DDoS) attacks remain among the most dangerous and noticeable attacks on the Internet. Differently from previous attacks, many recent DDoS attacks have not been carried out over the Transport Layer, but over the Application Layer. The main difference is that in the latter, an attacker can target a particular application of the server, while leaving the others applications still available, thus generating less traffic and being harder to detected. Such attacks are possible by exploiting application layer protocols used by the target application. This work proposes a novel defense, called SeVen, for Application Layer DDoS attacks (ADDoS) based on the Adaptive Selective Verification (ASV) defense used for Transport Layer DDoS attacks. We used two approches to validate the SeVen: 1) Simulation: The entire defense mechanism was formalized in Maude tool and simulated using the statistical model checker (PVeStA). 2) Real scenario experiments: Analysis of efficiency SeVen, implemented in C++, in a real experiment on the network. We investigate the resilience for mitigating three attacks using the HTTP protocol: HTTPPOST, Slowloris, and HTTP-GET. The defence is effective, with high levels of availability, for all three types of attacks, despite having different attack profiles, and even for a relatively large number of attackers.

In recent years a large number of scientific research has stimulated the use of web data as inputs for the epidemiological surveillance and knowledge discovery/mining related to public health in general. In order to make use of social media content, especially tweets, some approaches proposed before transform a content identification problem to a text classification problem, following the supervised learning scenario. However, during this process, some limitations attributed to the representation of messages as well as the extraction of attributes arise. From this, the present research is aimed to investigate the performance impact in the short social messages classification task using a continuous expansion of the training set approach with support of a measure of confidence in the predictions made. At the same time, the survey also aimed to evaluate alternatives for consideration and extraction of terms used for the classification in order to reduce dependencies on term-frequency based metrics. Restricted to the binary classification of tweets related to health events and written in English, the results showed a 9% improvement in F1, compared to the baseline used, showing that the action of expanding the classifier increases the performance, even in the case of short message classification task for health concerns. For the term weighting objective, the main contribution obtained is the ability to automatically indentify high discriminative terms in the dataset, without suffering limitations regarding term-frequency. This may, for example, be able to help build more robust and dynamic classification processes which make use of lists of specific terms for indexing contents on external database ( textit background knowledge). Overall, the results can benefit, by the improvement of the discussed hypotheses, the emergence of more robust applications in the field of surveillance, control and decision making to real health events (epidemiology, health campaigns, etc.), through the task of classifying short social messages.

The growing presence of video recording devices in several areas are providing an increase in use these images mainly to investigative purposes. This makes the use of methods and tools that perform the analysis and the automatic monitoring of environments are increasingly needed to provide technical support and knowledge to investigators, enabling obtain efficient and effective results. This work describe the development of computational vision methods that aim extract some features of scenes. At the end of this extraction, a summarization tool of forensic scenes through the developed methods is proposed. The methods proposed aim to detect and analyze motion in scenes, detect faces classifying them through the gender recognition, recognize people through facial recognition, perform the tracking of human faces and pattern recognition of predominant color in the clothing of individuals. At the end of this work, developed methods presented results comparable to the ones found in the literature and may contribute to the fast extraction of information needed for human analysis, to assist in the interpretation and argumentation of cases and documenting the results.

Through the use of data mining techniques, more usually the classification algorithms, it is possible to implement predictive models that are able to early identify a student in risk of dropout. Several studies used data obtained from a Virtual Learning Environment (VLE) to implement predictive performance models in a discipline of a course. However, any study was carried out aimed at developing a model for dropout prediction, to distance graduation courses of longer duration, which integrates works that carry out performance prediction based on a VLE, allowing an early prediction during the first semester and throughout the others semesters. Thus, this work proposes a dropout identification approach for distance graduation courses that use the Rule-Based Classification technique to firstly identify the disciplines and grades limits that have higher influence on dropout, so that the predictive models for performance in a VLE can be used regarding the dropout detection of students along the whole distance graduation course. Experiments were carried out using four rulebased classification algorithms: JRip, OneR, PART and Ridor. Considering the use of this temporal approach, it was possible to prove the advantages of this approach, once better accuracies were obtained along the semesters and important rules were discovered to early identify students in risk of dropout. Among the applied algorithms, JRip and PART obtained the best predictive results with average accuracy of 81% at the end of first semester. Furthermore, considering our proposed partition methodology, where attributes of the predictive models are incrementally applied, it was possible to discovery rules potentially useful to dropout prevention.

The distance learning in Brazil is a reality and, to each day, has increased the number of institutions, courses and people, who aspire to qualify professionally and even pursue an undergraduate or graduate degree. The accreditation of technical and higher education institutions to implement the modality of distance education; the creation of the Program Open University of Brazil – which allowed undergraduate and graduate degrees in various locations for partnership between public institution of higher education; and municipal management for the creation of an ODL center. These three main topics listed above, were determining factors for the growth in the number of students enrolled in distance education in Brazil. In this type of education, teachers and tutors are responsible for mediation of student learning, but for that to happen satisfactorily, it is essential the use technologies and methodologies that enable them to plan and monitor the activities assigned to students. The practice of teaching an undergraduate, as an open distance learning, has been a challenge for teachers of the curricular subjects - especially with regard to the activities assigned to students. Therefore, the present research work presents a methodology for a systematic approach in the planning and monitoring of activities in undergraduate distance learning courses.

One of the main issues related to the mobile robotics area is to find the most efficient way to perform the navigation from one point to another over environments, considering maximum safety and spending as less as possible time and computer resources. From this perspective, the aim of this work was to specify improved heuristics that could be applicable to cost functions of key A* based algorithms and use, more efficiently, the available computational resources. In this way, our approach aimed at minimizing the amount of collisions, the length of paths, and the processing time by minimizing the importance of g(n) term, which accounts for storing information from past steps of A* family algorithms. To show the effects of this modification, a survey of the best search strategies in dynamic and static environments was carried out and, after that, we analyzed the four best and latest algorithms, according to the specialized literature. Some comparisons have been made considering static and highly dynamic environments with different directions and search parameters to measure the quality of generated paths. Then, these algorithms were again analyzed with their cost functions modified according to our approach. The results of the comparison show that the R* algorithm, with forward search, is the most efficient for different spaces and searches. However, the change in their respective cost functions provided a significant improvement in the already excellent results achieved by the algorithms. In static environments, this modification showed up to be more effective for large and complex problems, which are commonly used for real robots. In highly dynamic environments, the cost function modification provided a considerable reduction in the time of planning and number of iterations to find the goal, as well as reductions in the memory utilization.

Deaf people communicate naturally using visual-spatial languages, called sign languages. The sign languages (SL) are recognized as official languages in many countries, but the problems faced by deaf people to access to information remains. As a result, they have difficult to exercise their citizenship and to access information in LS. In order to minimize this problem, some works have been developed related to the machine translation of spoken languages to sign languages. However, these solutions have some limitations, since they have to generate contents for deaf with the same quality to the listeners. Thus, this work aims to develop a solution for machine translation to Brazilian Sign Language (LIBRAS) addressing syntactic-semantic issues. This solution includes a LIBRAS machine translation component; a rule description language, modeled to describe morphosyntactic-semantic machine translation rules; the definition of a grammar exploring these aspects; and the integration of these elements with VLibras, a machine translation service of digital contents in Brazilian Portuguese to LIBRAS. To evaluate the solution, some computational tests were performed using WER and BLEU metrics, along with some tests with Brazilian deaf users and LIBRAS specialists. The results show that the proposed approach could improve the results of the current version of VLIBRAS.

Over the past few years, recognition by biometric information has been increasingly adopted in several applications, including commerce, government and forensics. One reason for this choice is based on the fact that biometric information is more difficult to falsify, share, hide or misplace than other alternatives like ID cards and passwords. Many characteristics of the individual (physical or behavioral) can be used in a biometric system, such as fingerprint, face, voice, iris, gait, palmprint, hand geometry, and others. Several researches have explored these and other features producing safer and more accurate recognition methods, but none of them are completely fault tolerant and there is still much to evolve and improve in this area. Based on this, this work presents a new approach to biometric recognition based on hand geometry. A database with 100 individuals and with samples of both sides of the hands was used. The feature extraction process prioritizes user comfort during capture and produces segmentation of hands and fingers with high precision. Altogether, 84 features have been extracted from each individual and the method was evaluated from different classification and verification approaches. Classification tests using cross-validation and stratified random subsampling techniques were performed. The experiments demonstrated competitive results when compared to other state-of-the-art methods with hand geometry. The proposed approach obtained with 100% accuracy in different classification strategies and EER rate of 0.75% in the verification process.

Scientific research is defined as a set of activities that are aimed at the discovery of new knowledge relevant to the solution of existing problems. Scientific knowledge is not just the discovery of new facts and laws, but also in its publication. This is to obtain and communicate results through forms of scientific production. To understand the complex scientific production system numerous analytical techniques have been applied in digital repositories. These techniques aim to identify relevant scientific productions based on indicators. In this sense the present work aims to create a methodology that facilitate the identification of publications that are relevant to specific areas of expertise. For this we used three contexts, the first on the area of social network analysis, the second on the records of 20 years from webmedia and finally on area of embedded systems. As a source of study our software tool achieved several results for the areas of knowledge between them we can mention the development of publications for the most relevant publication vehicles and the classification of network communities.

The task of assessing the scientific relevance of a researcher is not always trivial. Generally, this process is based on indices that consider the production and the impact of it in their area of research. However, the literature indicates that such indicators taken separately are insufficient, since they ignore the standards of relationship in which researchers are inserted. In addition, many studies have proven that collaborative relationships have a serious impact on the relevance of a researcher. In this context, it is understood that the modeling and analysis of these relationships can help building new indicators that complement the current evaluation process. Thus, this work aimed to specify a statistical model which allows for assessing the scientific relevance of a researcher, defined by the detention of productivity grant from the National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq), based on metrics applied to their scientific collaboration networks. Therefore, we applied metrics of Social Network Analysis (SNA) to collaborative networks of 1592 professors connected with Postgraduate Program in Computer Science area that later served as the basis for construction of a logistic regression model using the stratified 10-fold cross-validation technique. The proposed model produced very encouraging results and demonstrated that the SNA metrics that most influence in assessing the relevance of a researcher are the Betweenness Centrality,Weighted Degree, PageRank and Local Clustering Coefficient, having the first two positive influence and the last two negative influence. This shows that researchers who play an intermediary role within the network and usually maintain strong relationships with its collaborators are more likely to be contemplated with productivity grants, while those researchers with a more cohesive network and often collaborate with researchers who are already leaders in their field are less likely to be a scholarship student.

Today, one of the key points for the development of computer systems is the solution for user interaction. Graphical user interfaces, direct manipulation, virtual reality and tangible user interfaces are examples of this evolution. So, the search for new forms of interaction that allows interaction models that can araouse atraction on the user, is an area of constant study. So, the use of synesthesia is proposed as an approach to the user interface. Synaesthesia is the unique feeling resulting from the mutual responses of different kinds of human senses thus can enhance human ability to cognize information. This rare ability allows people to hear colors, taste sounds, among other mixtures of senses. From an analysis of related work on synesthesia in computer systems, it was possible to establish that there is a lack of a process for desing interfaces with more general synesthetic features and testing the applications with real users. Thus a method was developed which adapts to the synesthetic interface features and validated by developing an application, the Genius Vibe. The results showed that the process model has adapted well to the desing of the interface and through testing with real users was realized that synesthesia caused more attractiveness in the interface.

People with hearing or visually impairment face many di culties to participate in the social life, to communicate with other people and to access information. Their participation in cinemas, theaters, educational environment, among others, is often limited due to the lack of solutions that enable their interaction and participation. For the deaf, for example, the accessibility resources normally provided at the cinema room is limited to subtitle text format. This is the predominant solution on the current scenario. However, on the other hand, there are some studies that are in progress to try to solve these problems, such as the use of second screen devices to project content with sign language. For the blind, the accessibility problem is further aggravated because currently there are few cinema rooms that o er the resources of audio description. Normally, the blind rely solely on the help of family or friends to narrate the events during the exhibition of the lm. The accessibility point of view, these approaches are considered ine cient, since the deaf, for example, have enough trouble reading and writing in the spoken language of their country. Therefore, to minimize these problems, this paper presents a computational solution capable of automatically generating from the subtitles, video tracks with Brazilan Sign Language (Libras) windows for deaf users, and from the movie script, produce audio description for blind users and distribute such content for users using the second screen devices. Experiments using a prototype showed that the solution has the potential to generate e ciently contents intelligible for this users, increasing your access to this technology type.