GuidedVA: Guidance-Enriched Visual Analytics for Temporal Data

Duration
-
Funding

Vienna Science and Technology Fund (Wiener Wissenschafts-, Forschungs- und Technologiefonds, WWTF) under grant ICT19-047

Contact
Status
ongoing

Although Visual Analytics provides advanced techniques to tackle complex analysis scenarios, it still challenging for analysts to discern which VA methods to use for particular data and tasks. Guidance is hence needed to come up with reliable data analysis, visualization, and interpretations, but this is a largely uncharted territory in VA research. The aim of this project is to break new ground in the field of Visual Analytics by incorporating guidance to support users in their exploration and decision-making processes as well as in making continuous progress. 

Publications

Christina Stoiber, Davide Ceneda, Markus Wagner, Victor Schetinger, Theresia Gschwandtner, Marc Streit, Silvia Miksch, Wolfgang Aigner, "Perspectives of Visualization Onboarding and Guidance in VA", Visual Informatics, vol. 6, pp. 15, 2022. paper
Davide Ceneda, Alessio Arleo, Theresia Gschwandtner, Silvia Miksch, "Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics", IEEE Transactions on Visualization and Computer Graphics, pp. 12, 2021. paper
Christian Tominski, Gennady Andrienko, Natalia Andrienko, Susanne Bleisch, Sara Fabrikant, Eva Mayr, Silvia Miksch, Margit Pohl, André Skupin, "Toward Flexible Visual Analytics Augmented through Smooth Display Transitions", Visual Informatics, vol. 5, pp. 28-38, 2021. paper
Andreas Scheidl, Roger Leite, Silvia Miksch, "VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space", , 2021.
Silvia Miksch, "Visual Analytics Meets Process Mining: Challenges and Opportunities", 2021 3rd International Conference on Process Mining (ICPM), 2021.
Davide Ceneda, Natalia Andrienko, Gennady Andrienko, Theresia Gschwandtner, Silvia Miksch, Nikolaus Piccolotto, Tobias Schreck, Marc Streit, Josef Suschnigg, Christian Tominski, "Guide Me in Analysis: A Framework for Guidance Designers", Computer Graphics Forum, vol. 39, pp. 19, 2020. paper
Silvia Miksch, Heike Leite, Min Chen, "Knowledge-Assisted Visualization and Guidance", Foundations of Data Visualization, pp. 61--85, 2020. paper
Davide Ceneda, "Guidance-Enriched Visual Analytics", Institute of Visual Computing and Human-Centered Technology, vol. PhD, Dr.-techn., pp. 206, 2020. paper