“…Since these seminal projects, much research has been dedicated to designing visualization frameworks that employ the increasing power of hardware and leverage our increasing understanding of what makes interaction techniques effective (Troy and Moller, 2004). Recent examples include: Hannah (Einsfeld et al, 2007), a 3D user interface to synthesize desperate data within a single view; Behaviourism (Forbes et al, 2010), a Java/ OpenGL-based framework for creating 2D and 3D visualizations; and EditFlow (Benzaken et al, 2011), an information visualization framework built on top of a database management system. Most recent efforts in visualization framework design are focused on supporting the growing area of information visualization, which does not mesh well with the requirements of real-time simulation-based system.…”
We need to find better ways of allowing non-computing experts to construct visualizations of dynamic models within familiar domain-specific contexts. Current methods used to construct these customized views, however, are expensive since content experts must employ engineers to code the mathematical model that defines the dynamic behaviour of the scenario. Engineers must then somehow visualize the output of the model. These tasks are typically performed with engineering software tools or just pure computer programming. We define an interface and interaction model that compresses this engineering overhead, thus narrowing the user interface gap between mathematical modelling and three-dimensional interactive visualization design and consumption. We present an interaction theory and corresponding software prototype. Both are discussed using a human cardiovascular system case study.
“…Since these seminal projects, much research has been dedicated to designing visualization frameworks that employ the increasing power of hardware and leverage our increasing understanding of what makes interaction techniques effective (Troy and Moller, 2004). Recent examples include: Hannah (Einsfeld et al, 2007), a 3D user interface to synthesize desperate data within a single view; Behaviourism (Forbes et al, 2010), a Java/ OpenGL-based framework for creating 2D and 3D visualizations; and EditFlow (Benzaken et al, 2011), an information visualization framework built on top of a database management system. Most recent efforts in visualization framework design are focused on supporting the growing area of information visualization, which does not mesh well with the requirements of real-time simulation-based system.…”
We need to find better ways of allowing non-computing experts to construct visualizations of dynamic models within familiar domain-specific contexts. Current methods used to construct these customized views, however, are expensive since content experts must employ engineers to code the mathematical model that defines the dynamic behaviour of the scenario. Engineers must then somehow visualize the output of the model. These tasks are typically performed with engineering software tools or just pure computer programming. We define an interface and interaction model that compresses this engineering overhead, thus narrowing the user interface gap between mathematical modelling and three-dimensional interactive visualization design and consumption. We present an interaction theory and corresponding software prototype. Both are discussed using a human cardiovascular system case study.
“…For instance, some visual representations are based on abstract representations, such as graphs (Ahmed et al (2006)), trees (Einsfeld et al (2007), Buntain (2008)), and geometrical shapes (Ogi et al (2009), Nagel et al (2008, Meiguins et al (2006)) and others on virtual worlds objects (Baumgärtner et al (2007)). The classification proposed in this chapter provides some initial insight into which techniques are oriented to certain data types, but does not assert that one visual representation is more suitable than others to explore a particular data set.…”
Section: Visual Representations For Visual Data Miningmentioning
confidence: 99%
“…Beale (2007) has demonstrated that using a system which supports the free exploration and manipulation of information delivers increased knowledge even from a well know dataset. Many systems provide a virtual hand or a virtual pointer (Einsfeld et al (2007)), a typical approach used in VE, which is considered as being intuitive as it simulates real-world interaction (Bowman et al (2001)). …”
“…Visual languages (such as [37,11]) or general prototyping programming frameworks (such as [24,28]) aim to let developers "sketch" visualization and interaction ideas quickly before deciding whether or not to commit to developing a more robust implementation. Another framework enables the overlap of time-dependent processes with information visualization techniques, allowing users to create "process visualizations" which incorporate dynamic and temporal data [13].…”
Abstract-While a number of information visualization software frameworks exist, creating new visualizations, especially those that involve novel visualization metaphors, interaction techniques, data analysis strategies, and specialized rendering algorithms, is still often a difficult process. To facilitate the creation of novel visualizations we present a new software framework, behaviorism, which provides a wide range of flexibility when working with dynamic information on visual, temporal, and ontological levels, but at the same time providing appropriate abstractions which allow developers to create prototypes quickly which can then easily be turned into robust systems. The core of the framework is a set of three interconnected graphs, each with associated operators: a scene graph for high-performance 3D rendering, a data graph for different layers of semantically-linked heterogeneous data, and a timing graph for sophisticated control of scheduling, interaction, and animation. In particular, the timing graph provides a unified system to add behaviors to both data and visual elements, as well as to the behaviors themselves. To evaluate the framework we look briefly at three different projects all of which required novel visualizations in different domains, and all of which worked with dynamic data in different ways: an interactive ecological simulation, an information art installation, and an information visualization technique.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.