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IEEE International Conference on Big Data (Big Data)

作者： Koehler, Christopher Berger, Andrew Rajashekar, Raksha Wischgoll, Thomas Su, Simon Universal Technol Corp Data Analyt Div Dayton OH 45432 USA Wright State Univ Comp Sci Dept Dayton OH 45435 USA Us Army Res Lab DoD Supercomp Resource Ctr Adelphi MD USA

ISBN: (纸本)9781728108582

There is no one display device or software package that is ideally suited for interactively visualizing related nonspatial, 1D, 2D, 3D, and 4D datasets This is a major drawback, as the benefits of interactive visualization and advanced display technologies cannot be brought to hear. The Dynamic collaborative visualization Ecosystem (DynaCoVE) framework addresses this limitation by unifying SciVis, InfoVis, and display technology tools. Pre-existing packages are wrapped as DynaCoVE clients. This entails tracking user interactions with their GUI's and also automatically updating them in response to cues from the DynaCoVE server. The DynaCoVE server then acts as a message broker between many collaborating clients. A messaging protocol was defined based on ZcroMQ's majordomo protocol to enable efficient communication between clients and the server. Thus, visualization software packages that were never intended to be used together can be linked to perform cross display visual analytics. The system is intended to be data and user centric while remaining software, algorithm and display agnostic. This is accomplished in part by providing a common meta visualization graph interface to setup cross-display visualizations. To date DynaCoVE clients for Looker, Visit, and VTK have been tested together with traditional monitors, tiled displays, and an immersive CAVE-type system.

关键词： Data fusion and integration large and high-res displays collaborative and distributed visualization integrating spatial and non-spatial data visualization coordinated and multiple views

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The Social Computing Room: A Multi-Purpose collaborative visualization Environment

The Social Computing Room: A Multi-Purpose Collaborative Vis...

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Conference on Engineering Reality of Virtual Reality 2010

作者： Borland, David Conway, Michael Coposky, Jason Ginn, Warren Idaszak, Ray Univ N Carolina Renaissance Comp Inst Chapel Hill NC 27515 USA

ISBN: (纸本)9780819479181

The Social Computing Room (SCR) is a novel collaborative visualization environment for viewing and interacting with large amounts of visual data. The SCR consists of a square room with 12 projectors (3 per wall) used to display a single 360-degree desktop environment that provides a large physical real estate for arranging visual information. The SCR was designed to be cost-effective, collaborative, configurable, widely applicable, and approachable for naive users. Because the SCR displays a single desktop, a wide range of applications is easily supported, making it possible for a variety of disciplines to take advantage of the room. We provide a technical overview of the room and highlight its application to scientific visualization, arts and humanities projects, research group meetings, and virtual worlds, among other uses.

关键词： collaborative and distributed visualization large and high-res displays immersive and virtual environments

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GeoJabber: Enabling Geo-collaborative Visual Analysis

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CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE 2009年第3期36卷 267-280页

作者： Hardisty, Frank Penn State Univ Coll Earth & Mineral Sci Dept Geog Dutton E Educ InstGeoVISTA Ctr University Pk PA 16802 USA

The GeoJabber concept, protocol, and working prototype software introduced here enable same-time, different-place collaborative geovisualization. The key problem this work addresses is how to turn geovisual software states into persistent textual representations that can be shared between users. In the current implementation, GeoJabber leverages three key Open Source technologies: the GeoViz Toolkit, the Jabber protocol, and XStream. GeoJabber is the first project to Support same-time different-place geovisualization tool state sharing. As part of this effort, this paper presents a typology of sharable geovisualization software states, rooted in the concepts of data, display, and category.

关键词： collaborative and distributed visualization human-computer interaction geographic visualization visualization system architectures toolkits problem-solving environments

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The Benefits of Synchronous collaborative Information visualization: Evidence from an Experimental Evaluation

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2009年第6期15卷 1073-1080页

作者： Bresciani, Sabrina Eppler, Martin J. Univ Lugano Lugano Switzerland Univ St Gallen St Gallen Switzerland

A great corpus of studies reports empirical evidence of how information visualization supports comprehension and analysis of data. The benefits of visualization for synchronous group knowledge work, however, have not been addressed extensively. Anecdotal evidence and use cases illustrate the benefits of synchronous collaborative information visualization, but very few empirical studies have rigorously examined the impact of visualization on group knowledge work. We have consequently designed and conducted an experiment in which we have analyzed the impact of visualization on knowledge sharing in situated work groups. Our experimental study consists of evaluating the performance of 131 subjects (all experienced managers) in groups of 5 (for a total of 26 groups), working together on a real-life knowledge sharing task. We compare (1) the control condition (no visualization provided), with two visualization supports: (2) optimal and (3) suboptimal visualization (based on a previous survey). The facilitator of each group was asked to populate the provided interactive visual template with insights from the group, and to organize the contributions according to the group consensus. We have evaluated the results through both objective and subjective measures. Our statistical analysis clearly shows that interactive visualization has a statistically significant, objective and positive impact on the outcomes of knowledge sharing, but that the subjects seem not to be aware of this. In particular, groups supported by visualization achieved higher productivity, higher quality of outcome and greater knowledge gains. No statistically significant results could be found between an optimal and a suboptimal visualization though (as classified by the pre-experiment survey). Subjects also did not seem to be aware of the benefits that the visualizations provided as no difference between the visualization and the control conditions was found for the self-reported measures of satisfaction a

关键词： Laboratory Studies Visual Knowledge Representation collaborative and distributed visualization synchronous situated collaboration group work experiment knowledge sharing

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The Benefits of Synchronous collaborative Information visualization: Evidence from an Experimental Evaluation

The Benefits of Synchronous Collaborative Information Visual...

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IEEE Information visualization Conference/IEEE visualization Conference

作者： Bresciani, Sabrina Eppler, Martin J. Univ Lugano Lugano Switzerland Univ St Gallen St Gallen Switzerland

关键词： Laboratory Studies Visual Knowledge Representation collaborative and distributed visualization synchronous situated collaboration group work experiment knowledge sharing

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Toward a multi-analyst, collaborative framework for visual analytics

Toward a multi-analyst, collaborative framework for visual a...

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IEEE Symposium on Visual Analytics Science and Technology

作者： Brennan, Susan E. Mueller, Klaus Zelinsky, Greg Ramakrishnan, I. V. Warren, David S. Kaufman, Arie SUNY Stony Brook Stony Brook NY 11794 USA

ISBN: (纸本)1424405912

We describe a framework for the display of complex, multidimensional data, designed to facilitate exploration, analysis, and collaboration among multiple analysts. This framework aims to support human collaboration by making it easier to share representations, to translate from one point of view to another, to explain arguments, to update conclusions when underlying assumptions change, and to justify or account for decisions or actions. Multidimensional visualization techniques are used with interactive. context-sensitive, and tunable graphs. Visual representations are flexibly generated using a knowledge representation scheme based on annotated logic;this enables not only tracking and fusing different viewpoints, but also unpacking them. Fusing representations supports the creation of multidimensional meta-displays as well as the translation or mapping from one point of view to another. At the same time, analysts also need to be able to unpack one another's complex chains of reasoning, especially if they have reached different conclusions. and to determine the implications, if any, when underlying assumptions or evidence turn out to be false. The framework enables us to support a variety of scenarios as well as to systematically generate and test experimental hypotheses about the impact of different kinds of visual representations upon interactive collaboration by teams of distributed analysts.

关键词： Visual Analytics collaborative and distributed visualization data management and knowledge representation visual knowledge discovery

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