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

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
Paolo Federico, Wolfgang Aigner, Silvia Miksch, Florian Windhager, Lukas Zenk, "A Case Study on Visual Analytics of Dynamic Networks", The Third International UKVAC Workshop on Visual Analytics (VAW 2011), 2011. paper
Bilal Alsallakh, Eduard Gröller, Silvia Miksch, Martin Suntinger, "Contingency Wheel: Visual Analysis of Large Contingency Tables", Proceedings of the International Workshop on Visual Analytics (EuroVA), pp. 53-56, 2011. paper Visual Metaphor
Alexander Rind, Wolfgang Aigner, Silvia Miksch, Silvia Wiltner, Margit Pohl, Thomas Turic, Felix Drexler, "Visual Exploration of Time-oriented Patient Data for Chronic Diseases: Design Study and Evaluation", Proceedings of USAB 2011: Information Quality in e-Health, pp. 301–320, 2011. paper
Margit Pohl, Simone Kriglstein, Claus Stachl, Sarah Wiener, "Cognitive Aspects of the Design and Evaluation of the Information Discovery Process using well-known Techniques from the Literature", , 2011.
Tim Lammarsch, Wolfgang Aigner, Alessio Bertone, Silvia Miksch, Alexander Rind, "Towards a Concept how the Structure of Time Can Support the Visual Analytics Process", Proceedings of the Second International Workshop on Visual Analytics held in Europe (EuroVA 2011), pp. 9--12, 2011. paper
Margit Pohl, Silvia Wiltner, Alexander Rind, Wolfgang Aigner, Silvia Miksch, Thomas Turic, Felix Drexler, "Patient Development at a Glance: An Evaluation of a Medical Data Visualization", Proceedings of 13th IFIP TC 13 International Conference on Human-Computer Interaction (INTERACT 2011), Part IV, pp. 292–299, 2011. paper
, "IEEE Conference on Visual Analytics Science and Technology 2010 (VAST 2010)", , pp. 292, 2010. paper
Kai Puolamäki, Alessio Bertone, Roberto Theron, Otto Huisman, Jimmy Johansson, Silvia Miksch, Panagiotis Papapetrou, Salvo Rinzivillo, "Data Mining", Mastering the Information Age: Solving Problems with Visual Analytics, pp. 39–56, 2010. paper
Alan Dix, Margit Pohl, Geoffrey Ellis, "Perception and Cognitive Aspects", Mastering the Information Age: Solving Problems with Visual Analytics, pp. 109–130, 2010. paper
, "Human Aspects of Visualization. Second IFIP WG 13.7 Workshop on Human-Computer Interaction and Visualization, HCIV INTERACT 2009", , pp. 173, 2009.
Markus Rester, Margit Pohl, Klaus Hinum, Silvia Miksch, Christian Popow, Susanne Ohmann, Staven Banovic, "Methods for the Evaluation of an Interactive Info Vis Tool Supporting Exploratory Reasoning Processes", BEyond time and errors: novel evaLuation methods for Information Visualization (BELIV 2006) held in conjunction with Advanced Visual Interfaces (AVI-2006), International Working Conference, 2006. paper