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, Stephan Hoffmann, Alexander Rind, Wolfgang Aigner, Silvia Miksch, "Qualizon Graphs: Space-Efficient Time-Series Visualization with Qualitative Abstractions", Proceedings of the 12th International Working Conference on Advanced Visual Interfaces (AVI2014), pp. 273-280, 2014. paper http://www.cvast.tuwien.ac.at/QualizonGraphs
Alexander Rind, Wolfgang Aigner, Markus Wagner, Silvia Miksch, Tim Lammarsch, "User Tasks for Evaluation: Untangling the Terminology Throughout Visualization Design and Development", Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV), pp. 9–15, 2014. paper
Bilal Alsallakh, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, Bilal Esmael, Arghad Arnaout, Gerhard Thonhauser, Philipp Zöllner, "A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data", EuroVis Workshop on Visual Analytics (EuroVA), pp. 31-35, 2014. paper
Paolo Federico, Albert Amor-Amorós, Silvia Miksch, "Knowledge-assisted EHR visualization for cohorts", Proceedings of the IEEE Vis Workshop on Visualizing Electronic Health Record Data (EHRVis 2014), 2014. 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
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
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
Andreas Seyfang, Katharina Kaiser, Theresia Gschwandtner, Silvia Miksch, "Visualizing Complex Process Hierarchies During the Modeling Process", First International Workshop on Theory and Applications of Process Visualization (TAProViz'12), 2012. paper
Margit Pohl, "Methodologies for the Analysis of Usage Patterns in Information Visualization", Proceedings of the BELIV 2012 workshop, 2012. paper
Simone Kriglstein, Florian Scholz, Margit Pohl, Bilal Alsallakh, Silvia Miksch, "Evaluating the Dot-Based Contingency Wheel: Results from an Interview Study", Technical Report, pp. 10, 2012.
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