CVAST - Centre for Visual Analytics Science and Technology

Submitted by Bilal Alsallakh on Thu, 3. Jan 2013 - 13:58
Aim

CVAST aims to design and  develop innovative methods for data interpretation to capture the daily flood of information in interactive visualizations and analyses. Scenarios that involve temporal properties of such data are in the focus of our scientific interest.

 

alternative webpage @ w-fFORTE

Publications

 

Duration

April 2010 - March 2018

Funding

This project is funded by the Austrian Federal Ministry of Science, Research, and Economy (formerly known as Austrian Federal Ministry of Economy, Family and Youth) in the exceptional Laura Bassi Centres of Excellence initiative, project number: 822746 (Phase 1) /840262 (Phase 2).

Centres of Expertise - Laura Bassi

Contact
Status
finished

CVAST aims to design and  develop innovative methods for data interpretation to capture the daily flood of information in interactive visualizations and analyses. Scenarios that involve temporal properties of such data are in the focus of our scientific interest.

Due to the proliferating capabilities to generate and collect vast amounts of data and information we face the challenge that users and analysts get lost in irrelevant, or otherwise inappropriately processed or presented information. This phenomenon, commonly known as information deluge, overwhelms traditional methods of data analysis such as spreadsheets, ad-hoc queries, or simple visualizations. At the same time, intelligent usage of increasingly available data offers great opportunities to promote technological progress and business success. On this score, Visual Analytics is an emerging research discipline developing methods and technology that make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of both, computers' and humans' information processing capabilities. To make complex information structures more comprehensible, facilitate new insights, and enable knowledge discovery, methods of visualization, intelligent data analysis, and mining form a symbiosis with the human user via interactive visual interfaces.

The goals of the Centre of Visual Analytics Science and Technology (CVAST) are twofold. The first goal is the integration of the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment. The second goal is to scientifically assess the usability and utility of such discovery environments while bridging the gap between theory and practice for selected application scenarios.

Application scenarios that involve temporal properties are in the focus of our scientific interest. Time - in contrast to other quantitative data dimensions that are usually "flat" - has an inherent structure and distinct characteristics (calendar aspect, natural and social aspects, etc.) which increase its complexity dramatically and demand specialized Visual Analytics methods in order to support proper analysis and visualization. Our expected results will be Innovative, user-oriented, and task-specific Visual Analytics methods and tools with an assessment of their usability and utility. These methods will be used intertwinedly and iteratively to ease the explorative information discovery processes

An appropriate framework for these methods and tools. Their evaluation in 'real life' environments and examination of the information discovery process within several application scenarios. A new methodology to define and evaluate insights facilitated by these methods. Applying these methods within commercial applications to illustrate their business value and economic impacts

Publications

Paolo Federico, Wolfgang Aigner, Silvia Miksch, Florian Windhager, Michael Smuc, "Vertigo Zoom: Combining Relational and Temporal Perspectives on Dynamic Networks", Proceedings of the 11th International Working Conference on Advanced Visual Interfaces (AVI2012), pp. 437-440, 2012. paper
Florian Windhager, Michael Smuc, Lukas Zenk, Paolo Federico, Jürgen Pfeffer, Wolfgang Aigner, Silvia Miksch, "Visual Knowledge Networks Analytics", Knowledge Management Handbook, pp. 187–206, 2012. paper
Tim Lammarsch, Alexander Rind, Wolfgang Aigner, Silvia Miksch, "Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time", Proceedings of the EuroVis Workshop on Visual Analytics in Vienna, Austria (EuroVA 2012), pp. 31-35, 2012. paper
Wolfgang Aigner, Alexander Rind, Stephan Hoffmann, "Comparative Evaluation of an Interactive Time-Series Visualization that Combines Quantitative Data with Qualitative Abstractions", Computer Graphics Forum, vol. 31, pp. 995-1004, 2012. paper
Theresia Gschwandtner, "Interactive Visualization of Effects of Medical Treatment on a Patient’s Condition", Institute of Software Technology & Interactive Systems, pp. 140, 2012. paper
Bilal Alsallakh, Peter Bodesinsky, Silvia Miksch, Dorna Nasseri, "Visualizing Arrays in the Eclipse Java IDE", 16th European Conference on Software Maintenance and Reengineering, pp. 541-544, 2012. paper http://youtu.be/7gTv9yUtFBc
Bilal Alsallakh, Wolfgang Aigner, Silvia Miksch, Eduard Gröller, "Reinventing the Contingency Wheel: Scalable Visual Analytics of Large Categorical Data", IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VAST 2012), vol. 18, pp. 2849-2858, 2012. paper Visual and interaction metaphors of Contingency Wheel++ (5 min)
Simone Kriglstein, Margit Pohl, Claus Stachl, "Animation for Time-oriented Data: An Overview of Empirical Research", 16th International Conference on Information Visualisation (IV), pp. 30 -35, 2012. paper
Bilal Alsallakh, Peter Bodesinsky, Alexander Gruber, Silvia Miksch, "Visual Tracing for the Eclipse Java Debugger", 16th European Conference on Software Maintenance and Reengineering, pp. 545-548, 2012. paper Screencast
Theresia Gschwandtner, Johannes Gärtner, Wolfgang Aigner, Silvia Miksch, "A Taxonomy of Dirty Time-Oriented Data", Lecture Notes in Computer Science (LNCS 7465): Multidisciplinary Research and Practice for Information Systems (Proceedings of the CD-ARES 2012), pp. 58 -- 72, 2012. paper
Bilal Alsallakh, "Visual Analytics of Large Multivariate Matrix Data", Poster: IEEE VisWeek Doctoral Colloquium, 2012. paper Fast Forward @ VisWeek 2012
Margit Pohl, Silvia Wiltner, Silvia Miksch, Wolfgang Aigner, Alexander Rind, "Analysing Interactivity in Information Visualisation", KI - Künstliche Intelligenz, vol. 26, pp. 151-159, 2012. paper
David Riano, Annette Teije, Silvia Miksch, "Knowledge Representation for Health-Care: AIME 2011 Workshop KR4HC 2011: Revised Selected Papers", Lecture Notes in Artificial Intelligence, vol. 6924, pp. 171, 2012. paper
Alan MacEachren, Silvia Miksch, "Guest Editors' Introduction: Special Section on the IEEE Conference on Visual Analytics Science and Technology (VAST)", IEEE Transactions on Visualization and Computer Graphics, vol. 18, pp. 660–661, 2012. paper
Thomas Schneider, Wolfgang Aigner, "A-Plan: Integrating Interactive Visualization With Automated Planning for Cooperative Resource Scheduling", Proceedings of International Conference on Knowledge Management and Knowledge Technologies (I-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), pp. 44:1--44:8, 2011. paper
, "International Workshop on Visual Analytics (EuroVA 2011)", , 2011.
Jörn Kohlhammer, Daniel Keim, Margit Pohl, Guiseppe Santucci, G Andrienko, "Solving problems with visual analytics", Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11), vol. 7, pp. 117–120, 2011. paper
Theresia Gschwandtner, Wolfgang Aigner, Katharina Kaiser, Silvia Miksch, Andreas Seyfang, "CareCruiser: Exploring and Visualizing Plans, Events, and Effects Interactively", 4th IEEE Pacific Visualization Symposium, pp. 43--50, 2011.
, "IEEE Conference on Visual Analytics Science and Technology (VAST 2011)", , 2011. paper
Margit Pohl, Silvia Wiltner, "How to Investigate Interaction with Information Visualisation – an Overview of Methodologies", Proceedings of the INTERACT Workshop on Building Bridges – HCI and Visualization, 2011. paper
Wolfgang Aigner, Silvia Miksch, Heidrun Schuman, C. Tominski, "Visualization of Time-Oriented Data", Human-Computer Interaction, pp. 286, 2011. paper
David Riano, Annette Teije, Silvia Miksch, Mor Peleg, "Knowledge Representation for Health-Care", Lecture Notes in Artificial Intelligence, vol. 6512, pp. 153, 2011. paper
Theresia Gschwandtner, Wolfgang Aigner, Katharina Kaiser, Silvia Miksch, Andreas Seyfang, "Design and Evaluation of an Interactive Visualization of Therapy Plans and Patient Data", Proceedings of the 25th BCS Conference on Human Computer Interaction Conference (HCI2011), pp. 421-428, 2011.
Wolfgang Aigner, "Understanding the Role and Value of Interaction: First Steps", Proc. of the International Workshop on Visual Analytics (EuroVA 2011), pp. 17--20, 2011.
Paolo Federico, Wolfgang Aigner, Silvia Miksch, Florian Windhager, Lukas Zenk, "A Visual Analytics Approach to Dynamic Social Networks", Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), pp. 47:1–47:8, 2011. paper