We investigate the development of collaborative data dashboards, comprised of web visualization components. For this, we explore the use of Lively Web as a development platform and provide a framework for developing web collaborative scientific visualizations. We use a modern thin-client approach that moves most of the specific application processing logic from the client side to the server side, leveraging the implementation of reusable web services. As a web application, it provides users with multi-platform and multi-device compatibility along with enhanced concurrent access from remote locations. Our platform focuses on providing reusable, interactive, extensible and tightly- integrated web visualization components. Such visualization components are designed to be readily usable in distributed-synchronous collaborative environments. As use case we consider the development of a dashboard for researchers working with bioinformatics datasets, in particular Poxviruses data. We argue that our thin-client approach for developing web collaborative visualizations can greatly benefit researchers in different geographic locations in their mission of analyzing datasets as a team. / Graduate

Since the proliferation of CAD tools, visualizations have gained importance.. They provide invaluable visual feedback at the time of design, regardless whether it is fbi civil engineering or electronic circuit design-layout. Typically dynamic visualizations are produced in a two phase process: the calculation of positions and rendering of the image and its presentation as an animated video clip. This is a slow process that is unsuitable fbr interactive CAD visualizations, because the former two require finite element analysis Faster hardware eases the problem, but does not overcome it, because the algorithms are still too slow. Our MEMS CAD project works towards methods and techniques that are suitable for interactive design, with faster methods. The purpose of this PhD thesis is to contribute to the design of an interactive virtual prototyping of Micro Electro Mechanical Systems (MEMS) This research comprises the analysis of the visualization techniques that are appropriate for these tasks and identifying the difficulties that need to be overcome to be able to offer a MEMS design engineer a meaningful and interactive CAD design environment Such a VR-CAD system is being built in our research group with many participants in the team. Two particular problems are being addressed by presenting algorithms for truthful VR visualization methods: one is for displaying objects that are different in size on the computer screen. The other is modelling unsynchronized motion dynamics, that is different objects moving simultaneously at very high and vety low speed, by proposing stroboscopic simulation to present their dynamics on the screen They require specific size scaling and time scaling and filtering. It is these issues and challenges which make the design of a MEMS CAD tool different from other CAD tools. In the thesis I present algorithms for displaying animated virtual reality for MEMS virtual prototyping in a physically truthful way by using the simulated stroboscopic illumination to filter animated images to make it possible to show unsynchronized motion.. A scaling method was used to show or hide objects which cannot be shown simultaneously on the computer screen because of their large difference in size. The visualization of objects being designed and their animations is done with much consideration of visual perception and computer capability, which is rising attention, but not too often mentioned in the visualization domain.

The large and ever-increasing amounts of multi-dimensional, multivariate, multi-source, spatio-temporal data represent a major challenge for the future. The need to analyse and make decisions based on these data streams, often in time-critical situations, demands integrated, automatic and sophisticated interactive tools that aid the user to manage, process, visualize and interact with large data spaces. The rise of `Web 2.0', which is undisputedly linked with developments such as blogs, wikis and social networking, and the internet usage explosion in the last decade represent another challenge for adapting these tools to the Internet to reach a broader user community. In this context, the research presented in this thesis introduces an effective web-enabled geovisual analytics framework implemented, applied and verified in Adobe Flash ActionScript and HTML5/JavaScript. It has been developed based on the principles behind Visual Analytics and designed to significantly reduce the time and effort needed to develop customized web-enabled applications for geovisual analytics tasks and to bring the benefits of visual analytics to the public. The framework has been developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. The importance of multiple coordinated and linked views is emphasized and a number of effective techniques for linking views are introduced. Research has so far focused more on tools that explore and present data while tools that support capturing and sharing gained insight have not received the same attention. Therefore, this is one of the focuses of the research presented in this thesis. A snapshot technique is introduced, which supports capturing discoveries made during the exploratory data analysis process and can be used for sharing gained knowledge. The thesis also presents a number of applications developed to verify the usability and the overall performance of the framework for the visualization, exploration and analysis of data in different domains. Four application scenarios are presented introducing (1) the synergies among information visualization methods, geovisualization methods and volume data visualization methods for the exploration and correlation of spatio-temporal ocean data, (2) effective techniques for the visualization, exploration and analysis of self-organizing network data, (3) effective flow visualization techniques applied to the analysis of time-varying spatial interaction data such as migration data, commuting data and trade flow data, and (4) effective techniques for the visualization, exploration and analysis of flood data.

Karst environments are interconnected landscapes vulnerable to degradation. Many instances of anthropogenic karst disturbance are unintentional, and occur because of the public's lack of understanding or exposure to karst knowledge. When attempts are made to educate the general public about these landscapes, the concepts taught are often too abstract to be fully understood. Thus, karst educational pursuits must use only the most efficient and effective learning materials. A technique useful for assessing educational effectiveness of learning materials is eye-tracking, which allows scientists to quantitatively measure an individual's points of interest and eye movements when viewing a 2D or 3D visualization. Visualization developers use eye-tracking data to create graphics that hold the observer's attention and, thereby, enhance learning about a particular concept. This study aimed to assess and improve the educational effectiveness of 2D karst visualizations by combining eye-tracking techniques with Geographic Information Systems, knowledge assessments, and semi-structured interviews. The first phase of this study consisted of groups of 10 participants viewing 2D karst visualizations with one category of manipulated visual stimuli. The second phase consisted of groups of 10-15 participants viewing 2D karst visualizations that were created based on the results from the first phase. The results of this study highlighted both effective stimuli in karst visualizations and stimuli that hinder the educational effectiveness of visualizations.

Dans cette thèse est d'abord considéré comment l'énergie est enseignée et apprise à l'école, montrant les divergences entre définition scientifique et sociétale de l'énergie, et considérant les unités d'énergie et la confusion qu'elles engendrent. Des perspectives pour l'éducation et la gestion de l'énergie sont présentées. Ensuite, l'attention est portée sur les représentations de l'énergie proposées par les systèmes domestiques de gestion, et une classification originale basée sur des stratégiques didactiques est proposée. Les obstacles majeurs rencontrés par les designers révèlent comment les outils de gestion de l'énergie peuvent être adaptés à la cognition humaine. Enfin, les capacités humaines de traitement des grandeurs numériques sont examinées en profondeur du point de vue de la cognition incarnée. Un cadre est construit au travers duquel l'impact des représentations externes de l'énergie sur l'apprentissage et la comparaison peut être établi, compris, et prédit. Ceci mène à deux études empiriques. La première étude teste l'effet de la représentation externe (symbolique ou spatiale) sur le rappel et la comparaison de mémoire. Précision et temps de réponse sont les variables dépendantes dans la comparaison. Les résultats indiquent un traitement analogique dans les deux conditions. La représentation externe symbolique accroît la précision dans le rappel et la comparaison, et la représentation externe spatiale accroît la vitesse de comparaison. La seconde étude teste l'effet de la spatialité, de l'ancrage, et de la physicalité dans les représentations externes, également sur le rappel et les comparaisons de mémoire, utilisant les mêmes variables dépendantes. Les résultats indiquent un traitement analogique dans toutes les conditions. La spatialité décroît la précision dans le rappel mais accroît la vitesse de comparaison. Ancrage et physicalité n'ont pas d'effet. Les résultats corroborent l'hypothèse de la cognition ancrée sur les simulations mentales (Barsalou, 1999, 2008; Wilson, 2002) ainsi que la perspective de Dehaene (1997) sur la cognition numérique, dans laquelle le sens du nombre est basé sur un accumulateur analogique et non discret. Implications théoriques et applications pratiques sont discutées. / In this thesis is first considered how energy is taught and learned about in school, focusing on the discrepancies between a scientific definition of energy and a societal definition of energy, and discussing units of energy and the confusion they induce. Perspectives for education and energy management are provided. Then, focus is placed on the representations of energy provided in home energy management systems, seeking to propose an original classification based on educational strategies. The major obstacles met by designers reveal how energy management tools can be adapted to human cognition. Next, human numerical and magnitude processing abilities are discussed in depth, taking the viewpoint of grounded cognition and building a framework through which the impact of external representations of energy on learning and comparing can be established, understood, and predicted. This leads to two empirical studies. The first study tests the effect of external representation (symbolic or spatial) on recall and comparisons from memory. Accuracy and response time at comparisons are used as dependent variables. Results indicate analog processing of magnitude in both conditions, and show that external representation affects performance at both recall and comparison, with symbolic external representation increasing recall and comparison accuracy, and spatial external representation increasing comparison speed. The second study tests the effects of spatiality, groundedness, and physicality in external representations, also on recall and comparisons from memory, using the same dependent variables. Results indicate analog processing in all conditions. Spatiality decreases recall accuracy but increases comparison speed. Groundedness and physicality show no effect. Results are consistent with grounded cognition's mental simulations hypothesis (Barsalou, 1999, 2008; Wilson, 2002) as well as Dehaene's (1997) view on numerical cognition, in which number sense is based on a continuous accumulator that does not directly process discrete numbers. Theoretical implications and practical applications are discussed.

Técnicas de visualização de informações multidimensionais têm o potencial de auxiliar na análise visual e exploração de grandes conjuntos de dados, através do emprego de mecanismos que buscam tanto representar visualmente os dados quanto permitir ao usuário a interação com estas representações. Neste contexto, diversas técnicas têm sido desenvolvidas, muitas delas sem uma avaliação detalhada e aprofundada tanto de eficiência como de utilidade no suporte às necessidades dos usuários. Contudo, há relativamente pouco tempo começaram a ser publicados trabalhos abordando as diversas questões relacionadas à avaliação de usabilidade de sistemas ou das aplicações que implementam estas técnicas como forma de promover sua eficiente e efetiva utilização. A avaliação de usabilidade de interfaces de sistemas de visualização representa um desafio de pesquisa uma vez que elas apresentam significativas diferenças com relação a outros tipos de interface. Neste sentido, existe uma carência de sistematização (incluindo o uso de métodos e técnicas de avaliação de usabilidade) que explore e considere as características deste tipo de interface de maneira adequada. Esta tese investiga soluções viáveis para o desenvolvimento de uma abordagem sistemática para avaliação de usabilidade de técnicas de visualização de informações multidimensionais e apresenta as seguintes soluções ao problema em estudo: 1) determinação de uma taxonomia de tarefas específica relacionada ao uso de visualizações multidimensionais no processo de análise de dados e 2) adaptação de técnicas e métodos de avaliação de usabilidade, com o objetivo de torná-los mais efetivos ao contexto de sistemas de visualização de informações multidimensionais. / Multidimensional visualization techniques have the potential of supporting the visual analysis and exploration of large datasets, by means of providing visual representations and interaction techniques which allow users to interact with the data through their graphical representation. In this context, several techniques have been developed, most of them being reported without a broad and deep evaluation both regarding their efficiency and utility in supporting users tasks. Few years ago, thus quite recently, several works have been published reporting many issues related to the evaluation of visualization systems and applications, as a means of promoting their efficiency and effective use. In spite of these works, the usability evaluation of visualization systems’ graphical interfaces remains a challenge because of the significant differences between these interfaces and those of other systems. This way, there is a need of finding a systematic approach for such evaluations, including the definition of which usability methods and techniques are best suited for this kind of interfaces. This thesis reports our investigation of viable solutions for the development of a systematic approach for the usability evaluation of multidimensional information visualizations. We have conducted several case studies and experiments with users and have achieved the following contributions: 1) a taxonomy of visualization tasks, that is related to the use of interactive visualization techniques for the exploration and analysis of multidimensional datasets and 2) adaptation of usability evaluation techniques with the goal of making them more effective in the context of multidimensional information visualizations.

Técnicas de visualização de informações multidimensionais têm o potencial de auxiliar na análise visual e exploração de grandes conjuntos de dados, através do emprego de mecanismos que buscam tanto representar visualmente os dados quanto permitir ao usuário a interação com estas representações. Neste contexto, diversas técnicas têm sido desenvolvidas, muitas delas sem uma avaliação detalhada e aprofundada tanto de eficiência como de utilidade no suporte às necessidades dos usuários. Contudo, há relativamente pouco tempo começaram a ser publicados trabalhos abordando as diversas questões relacionadas à avaliação de usabilidade de sistemas ou das aplicações que implementam estas técnicas como forma de promover sua eficiente e efetiva utilização. A avaliação de usabilidade de interfaces de sistemas de visualização representa um desafio de pesquisa uma vez que elas apresentam significativas diferenças com relação a outros tipos de interface. Neste sentido, existe uma carência de sistematização (incluindo o uso de métodos e técnicas de avaliação de usabilidade) que explore e considere as características deste tipo de interface de maneira adequada. Esta tese investiga soluções viáveis para o desenvolvimento de uma abordagem sistemática para avaliação de usabilidade de técnicas de visualização de informações multidimensionais e apresenta as seguintes soluções ao problema em estudo: 1) determinação de uma taxonomia de tarefas específica relacionada ao uso de visualizações multidimensionais no processo de análise de dados e 2) adaptação de técnicas e métodos de avaliação de usabilidade, com o objetivo de torná-los mais efetivos ao contexto de sistemas de visualização de informações multidimensionais. / Multidimensional visualization techniques have the potential of supporting the visual analysis and exploration of large datasets, by means of providing visual representations and interaction techniques which allow users to interact with the data through their graphical representation. In this context, several techniques have been developed, most of them being reported without a broad and deep evaluation both regarding their efficiency and utility in supporting users tasks. Few years ago, thus quite recently, several works have been published reporting many issues related to the evaluation of visualization systems and applications, as a means of promoting their efficiency and effective use. In spite of these works, the usability evaluation of visualization systems’ graphical interfaces remains a challenge because of the significant differences between these interfaces and those of other systems. This way, there is a need of finding a systematic approach for such evaluations, including the definition of which usability methods and techniques are best suited for this kind of interfaces. This thesis reports our investigation of viable solutions for the development of a systematic approach for the usability evaluation of multidimensional information visualizations. We have conducted several case studies and experiments with users and have achieved the following contributions: 1) a taxonomy of visualization tasks, that is related to the use of interactive visualization techniques for the exploration and analysis of multidimensional datasets and 2) adaptation of usability evaluation techniques with the goal of making them more effective in the context of multidimensional information visualizations.

Técnicas de visualização de informações multidimensionais têm o potencial de auxiliar na análise visual e exploração de grandes conjuntos de dados, através do emprego de mecanismos que buscam tanto representar visualmente os dados quanto permitir ao usuário a interação com estas representações. Neste contexto, diversas técnicas têm sido desenvolvidas, muitas delas sem uma avaliação detalhada e aprofundada tanto de eficiência como de utilidade no suporte às necessidades dos usuários. Contudo, há relativamente pouco tempo começaram a ser publicados trabalhos abordando as diversas questões relacionadas à avaliação de usabilidade de sistemas ou das aplicações que implementam estas técnicas como forma de promover sua eficiente e efetiva utilização. A avaliação de usabilidade de interfaces de sistemas de visualização representa um desafio de pesquisa uma vez que elas apresentam significativas diferenças com relação a outros tipos de interface. Neste sentido, existe uma carência de sistematização (incluindo o uso de métodos e técnicas de avaliação de usabilidade) que explore e considere as características deste tipo de interface de maneira adequada. Esta tese investiga soluções viáveis para o desenvolvimento de uma abordagem sistemática para avaliação de usabilidade de técnicas de visualização de informações multidimensionais e apresenta as seguintes soluções ao problema em estudo: 1) determinação de uma taxonomia de tarefas específica relacionada ao uso de visualizações multidimensionais no processo de análise de dados e 2) adaptação de técnicas e métodos de avaliação de usabilidade, com o objetivo de torná-los mais efetivos ao contexto de sistemas de visualização de informações multidimensionais. / Multidimensional visualization techniques have the potential of supporting the visual analysis and exploration of large datasets, by means of providing visual representations and interaction techniques which allow users to interact with the data through their graphical representation. In this context, several techniques have been developed, most of them being reported without a broad and deep evaluation both regarding their efficiency and utility in supporting users tasks. Few years ago, thus quite recently, several works have been published reporting many issues related to the evaluation of visualization systems and applications, as a means of promoting their efficiency and effective use. In spite of these works, the usability evaluation of visualization systems’ graphical interfaces remains a challenge because of the significant differences between these interfaces and those of other systems. This way, there is a need of finding a systematic approach for such evaluations, including the definition of which usability methods and techniques are best suited for this kind of interfaces. This thesis reports our investigation of viable solutions for the development of a systematic approach for the usability evaluation of multidimensional information visualizations. We have conducted several case studies and experiments with users and have achieved the following contributions: 1) a taxonomy of visualization tasks, that is related to the use of interactive visualization techniques for the exploration and analysis of multidimensional datasets and 2) adaptation of usability evaluation techniques with the goal of making them more effective in the context of multidimensional information visualizations.

Effective data visualization is essential for digital self-tracking to help users gain insights into their behavior and habits. Personalized visualizations engage users, making the self-tracking experience more meaningful. However, potential biases and limitations should be considered to ensure an accurate and objective self-tracking process. The study aims to examine users' interactions with visualized data in the digital self-tracking process and understand their perceptions of the accuracy and objectivity of personal data visualizations and the self-tracking processes on platforms that offer self-tracking features. These platforms include applications for tracking health and fitness, habits, music listening, book reading, and movie watching. The study employs a qualitative approach using semi-structured interviews with an ethnographic approach as a data collection method. This approach was selected to investigate users' interactions and opinions on data visualizations and the digital self-tracking process.  The findings show that participants primarily use data visualizations and other personal visualizations as reminders, for comparisons, planning, and motivation. Although they do not extensively analyze the visualized data, participants report experiencing heightened self-awareness and motivation. Despite their awareness of potential inaccuracies and subjectivity in the visualizations and the self-tracking process, participants are willing to overlook these aspects due to the perceived benefits associated with the process. Moreover, participants generally express a level of trust in the accuracy of their visualized data.

The process of visualizing n-D data presents the user with four problems: finding a hyperdimensional graphics package capable of rendering n-D data, finding a suitable presentation technique supported by the package that allows insight to be gained, using the provided user interface to interact with the presentation technique to explore the information in the data, and finding a way to share the information gained with others. Many graphics packages have been written to solve the first problem. However, existing packages do not sufficiently solve the other three problems. A hyperdimensional graphics package that sufficiently solves all these problems simplifies the user experience and allows the user to explore, interact with, and share the data. I have implemented a package that solves all four problems. The package is able to render n-D data through appropriate encapsulation of presentation techniques and their associated visual cues. Through the use of an extensible plugin system, presentation techniques can be easily added and accommodated. Desirable features are supported by the user interface to allow the user to interact easily with the data. Sharing of visualizations and annotations are included to allow users to share information with one another. By providing a hyperdimensional graphics package that easily accommodates presentation techniques and includes desirable features, including those that are rarely or never supported, the user benefits from tools that allow improved interaction with multivariate data to extract information and share it with others.