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

Tim Lammarsch, Wolfgang Aigner, Silvia Miksch, Alexander Rind, "Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing", Death of the Desktop - Workshop co-located with IEEE VIS 2014, 2014. paper
Daniel Archambault, James Abello, Jessie Kennedy, Stephen Kobourov, Kwan-Liu Ma, Silvia Miksch, Chris Muelder, Alexandru Telea, "Temporal Multivariate Networks", Multivariate Network Visualization, pp. 151-174, 2014. paper
Albert Amor-Amorós, Paolo Federico, Silvia Miksch, "TimeGraph: a Data Management Framework for Visual Analytics of Large Multivariate Time-Oriented Networks", Poster Proceedings of the IEEE Visualization Conference (VIS), 2014. paper TimeGraph teaser
, "Knowledge Representation for Health Care, 6th International Workshop, KR4HC 2014, held as part of the Vienna Summer of Logic, VSL 2014, Vienna, Austria, July 21, 2014. Revised Selected Papers", Lecture Notes in Computer Science, vol. 8903, pp. 175, 2014. paper
David Riano, Richard Lenz, Silvia Miksch, Mor Peleg, Manfred Reichert, Annette Teije, "Process Support and Knowledge Representation in Health Care", Lecture Notes in Artificial Intelligence, pp. 159, 2013. paper
Alexander Rind, Taowei Wang, Wolfgang Aigner, Silvia Miksch, Krist Wongsuphasawat, Catherine Plaisant, Ben Shneiderman, "Interactive Information Visualization to Explore and Query Electronic Health Records", Foundations and Trends in Human-Computer Interaction, vol. 5, pp. 207-298, 2013. paper
Wolfgang Aigner, Stephan Hoffmann, Alexander Rind, "EvalBench: A Software Library for Visualization Evaluation", Computer Graphics Forum, vol. 32, pp. 41-50, 2013. paper Talk @EuroVis 2013
Peter Bodesinsky, Paolo Federico, Silvia Miksch, "Visual Analysis of Compliance with Clinical Guidelines", Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), pp. 12:1–12:8, 2013. paper
Richard Lenz, Silvia Miksch, Mor Peleg, Manfred Reichert, David Riano, Annette Teije, "Process Support and Knowledge Representation in Health Care: BPM 2012 Joint Workshop, ProHealth 2012/KR4HC 2012", Lecture Notes in Artificial Intelligence, 2013. paper
Margit Pohl, Florian Scholz, "How to Investigate Interaction with Information Visualisation – an Overview of Methodologies", Proceedings of the INTERACT Workshop on Building Bridges – HCI and Visualization, 2013.
Wolfgang Aigner, "Current Work Practice and Users' Perspectives on Visualization and Interactivity in Business Intelligence", Proceedings of 17th International Conference on Information Visualisation (IV13), pp. 299-306, 2013. paper
Silvana Quaglini, Yuval Shahar, Mor Peleg, Silvia Miksch, Carlo Napolitano, Mercedes Rigla, Angels Pallàs, Enea Parimbelli, Lucia Sacchi, "Supporting Shared Decision Making within the MobiGuide Project", Proceedings of the AMIA Annual Symposium, pp. 1175-1184, 2013. paper
Michael Smuc, Paolo Federico, Florian Windhager, Wolfgang Aigner, Lukas Zenk, Silvia Miksch, "How Do You Connect Moving Dots? Insights from User Studies on Dynamic Network Visualizations", Handbook of Human Centric Visualization, pp. 623-650, 2013. paper
Alexander Rind, Tim Lammarsch, Wolfgang Aigner, Bilal Alsallakh, Silvia Miksch, "TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data", IEEE Transactions on Visualization and Computer Graphics, Special Issue "VIS 2013", vol. 19, pp. 2247-2256, 2013. paper Project page Introduction and Basic Features
Wolfgang Aigner, "Interactive Visualization and Data Analysis: Visual Analytics With a Focus on Time", , 2013. paper
Bilal Alsallakh, Wolfgang Aigner, Silvia Miksch, Helwig Hauser, "Radial Sets: Interactive Visual Analysis of Large Overlapping Sets", IEEE Transactions on Visualization and Computer Graphics (Proceedings of InfoVis), vol. 19, pp. 2496-2505, 2013. paper More details and online demos The visual and interaction metaphors
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Tim Lammarsch, Silvia Miksch, Alexander Rind, "Visual Analytics for Model Selection in Time Series Analysis", IEEE Transactions on Visualization and Computer Graphics, Special Issue "VIS 2013", vol. 19, pp. 2237 - 2246, 2013. paper Supplementary material Introduction with audio narration
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
Alexander Rind, Barbara Neubauer, Wolfgang Aigner, Silvia Miksch, "Static and Dynamic Visual Mappings to Explore Bivariate Data Across Time", EuroVA 2012 Poster Proceedings, pp. 3, 2012. paper
Brian Fisher, Silvia Miksch, "Guest Editors' Introduction to the Vast 2010 Special Issue-Special Issue of best papers of Visual Aanlytics Science and Technology (VAST) 2010", Information Visualization, vol. 11, pp. 188–189, 2012. paper
Paolo Federico, Wolfgang Aigner, Silvia Miksch, Jürgen Pfeffer, Michael Smuc, Florian Windhager, Lukas Zenk, "ViENA: Visual Enterprise Network Analytics", Poster Proceedings of the 3rd International Workshop on Visual Analytics (EuroVA), pp. 12, 2012. paper
Margit Pohl, Michael Smuc, Eva Mayr, "The User Puzzle: Explaining the Interaction with Visual Analytics Systems", Visualization and Computer Graphics, IEEE Transactions on, vol. 18, pp. 2908 -2916, 2012. paper
Paolo Federico, Jürgen Pfeffer, Wolfgang Aigner, Silvia Miksch, Lukas Zenk, "Visual Analysis of Dynamic Networks using Change Centrality", Proceedings of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 179 - 183, 2012. paper